Move blog to Hugo

93 files changed, 4143 insertions, 0 deletions

diff --git a/static/.gitkeep b/static/.gitkeep
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index 0000000..e69de29
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new file mode 100644
index 0000000..d444c80
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index 0000000..dc7cbd1
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diff --git a/static/dfd-rice/install-05.png b/static/dfd-rice/install-05.png
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new file mode 100644
index 0000000..09fb01c
--- /dev/null
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diff --git a/static/dna-sequence/sample-binary-file.png b/static/dna-sequence/sample-binary-file.png
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diff --git a/static/dna-sequence/sample.png b/static/dna-sequence/sample.png
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diff --git a/static/dna-synthesized/bison/in.txt b/static/dna-synthesized/bison/in.txt
new file mode 100644
index 0000000..fd1eea6
--- /dev/null
+++ b/static/dna-synthesized/bison/in.txt
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+GGTCAGCCCAAATCCGCACCCTCGGTCACCCTGTTTCCGCCCTCCACGGAGGAGCTCACT
+GCCAACAAGGCCACCCTGGTGTGTCTCATCAGCGACTTCTACCCGGGTAGCGTGACCGTG
+GCCTGGAAGGCAGACGGCAGCACCATCACCCGCAACGTGGAGACCACCCGGGCCTCCAAA
+CAGAGCAACAGCAAGTACGCGAAAAGCGGTTACAGCTGCGAGGTCACGCACGAGGGGAGC
+ACCGTGACGAAGACAGTGAAGCCCTCAGCGTGTCAGCCCAAGTCCGCACCCTTGGTCACC
+CTGTTCCCGCCCTCCAAGGAGGAGCTCAGCGCCAACAAGGCCACCCTGGTGTGTCTCATC
+AGCGACTTCTACCCGGGTAGCGTGACCGTGGTCTGGAAGGCAGACGGCAGCACCATCACC
+CGCAACGTGGAGACCACCCGGGCCTCCAAACAGAGCAACAGCAAGTACGCGGCCAGCAGC
+TACCTGAGCCTGACGGGCAGCGACTGGAAATCGAAAGGCAGTTACAGCTGCGAGGTCACG
+CACGAGGGGAGCACCGTGACGAAGACAGTGAAGGTCTCAGAGTGTCAGCCCAAGTCCGCA
+
diff --git a/static/dna-synthesized/bison/out.mp3 b/static/dna-synthesized/bison/out.mp3
new file mode 100644
index 0000000..d6408ca
--- /dev/null
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new file mode 100644
index 0000000..959902b
--- /dev/null
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--- /dev/null
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index 0000000..59075cd
--- /dev/null
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diff --git a/static/dna-synthesized/mouse/in.txt b/static/dna-synthesized/mouse/in.txt
new file mode 100644
index 0000000..abd34a2
--- /dev/null
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+CACATACAGGCAACAGATTTTGAAGGAGGCCTCCACTCCAGCTGTTAGGGGACCCACATG
diff --git a/static/dna-synthesized/mouse/out.mp3 b/static/dna-synthesized/mouse/out.mp3
new file mode 100644
index 0000000..e66e87b
--- /dev/null
+++ b/static/dna-synthesized/mouse/out.mp3
diff --git a/static/dna-synthesized/mouse/spectogram.png b/static/dna-synthesized/mouse/spectogram.png
new file mode 100644
index 0000000..8b7f63f
--- /dev/null
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diff --git a/static/dna-synthesized/quote/in.txt b/static/dna-synthesized/quote/in.txt
new file mode 100644
index 0000000..81e8eb9
--- /dev/null
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\ No newline at end of file
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new file mode 100644
index 0000000..985871d
--- /dev/null
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new file mode 100644
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new file mode 100644
index 0000000..8c5bddb
--- /dev/null
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new file mode 100644
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diff --git a/static/do-fuse/fuse-droplets.png b/static/do-fuse/fuse-droplets.png
new file mode 100644
index 0000000..d7ce243
--- /dev/null
+++ b/static/do-fuse/fuse-droplets.png
diff --git a/static/do-fuse/fuse-spaces.png b/static/do-fuse/fuse-spaces.png
new file mode 100644
index 0000000..4dcc1c5
--- /dev/null
+++ b/static/do-fuse/fuse-spaces.png
diff --git a/static/do-fuse/sqlite-benchmarks.tsv b/static/do-fuse/sqlite-benchmarks.tsv
new file mode 100644
index 0000000..daa2c21
--- /dev/null
+++ b/static/do-fuse/sqlite-benchmarks.tsv
@@ -0,0 +1,1001 @@
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diff --git a/static/general/elasticlunr.min.js b/static/general/elasticlunr.min.js
new file mode 100644
index 0000000..94b20dd
--- /dev/null
+++ b/static/general/elasticlunr.min.js
@@ -0,0 +1,10 @@
+/**
+ * elasticlunr - http://weixsong.github.io
+ * Lightweight full-text search engine in Javascript for browser search and offline search. - 0.9.5
+ *
+ * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2017 Wei Song
+ * MIT Licensed
+ * @license
+ */
+!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" importing "+e.version);var n=new this;n._fields=e.fields,n._ref=e.ref,n.documentStore=t.DocumentStore.load(e.documentStore),n.pipeline=t.Pipeline.load(e.pipeline),n.index={};for(var i in e.index)n.index[i]=t.InvertedIndex.load(e.index[i]);return n},t.Index.prototype.addField=function(e){return this._fields.push(e),this.index[e]=new t.InvertedIndex,this},t.Index.prototype.setRef=function(e){return this._ref=e,this},t.Index.prototype.saveDocument=function(e){return this.documentStore=new t.DocumentStore(e),this},t.Index.prototype.addDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.addDoc(i,e),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));this.documentStore.addFieldLength(i,n,o.length);var r={};o.forEach(function(e){e in r?r[e]+=1:r[e]=1},this);for(var s in r){var u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u<s.length;u++){var a=s[u];r[a]=this.pipeline.run(t.tokenizer(e[a]))}var l={};for(var c in o){var d=r[c]||r.any;if(d){var f=this.fieldSearch(d,c,o),h=o[c].boost;for(var p in f)f[p]=f[p]*h;for(var p in f)p in l?l[p]+=f[p]:l[p]=f[p]}}var v,g=[];for(var p in l)v={ref:p,score:l[p]},this.documentStore.hasDoc(p)&&(v.doc=this.documentStore.getDoc(p)),g.push(v);return g.sort(function(e,t){return t.score-e.score}),g},t.Index.prototype.fieldSearch=function(e,t,n){var i=n[t].bool,o=n[t].expand,r=n[t].boost,s=null,u={};return 0!==r?(e.forEach(function(e){var n=[e];1==o&&(n=this.index[t].expandToken(e));var r={};n.forEach(function(n){var o=this.index[t].getDocs(n),a=this.idf(n,t);if(s&&"AND"==i){var l={};for(var c in s)c in o&&(l[c]=o[c]);o=l}n==e&&this.fieldSearchStats(u,n,o);for(var c in o){var d=this.index[t].getTermFrequency(n,c),f=this.documentStore.getFieldLength(c,t),h=1;0!=f&&(h=1/Math.sqrt(f));var p=1;n!=e&&(p=.15*(1-(n.length-e.length)/n.length));var v=d*a*h*p;c in r?r[c]+=v:r[c]=v}},this),s=this.mergeScores(s,r,i)},this),s=this.coordNorm(s,u,e.length)):void 0},t.Index.prototype.mergeScores=function(e,t,n){if(!e)return t;if("AND"==n){var i={};for(var o in t)o in e&&(i[o]=e[o]+t[o]);return i}for(var o in t)o in e?e[o]+=t[o]:e[o]=t[o];return e},t.Index.prototype.fieldSearchStats=function(e,t,n){for(var i in n)i in e?e[i].push(t):e[i]=[t]},t.Index.prototype.coordNorm=function(e,t,n){for(var i in e)if(i in t){var o=t[i].length;e[i]=e[i]*o/n}return e},t.Index.prototype.toJSON=function(){var e={};return this._fields.forEach(function(t){e[t]=this.index[t].toJSON()},this),{version:t.version,fields:this._fields,ref:this._ref,documentStore:this.documentStore.toJSON(),index:e,pipeline:this.pipeline.toJSON()}},t.Index.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},t.DocumentStore=function(e){this._save=null===e||void 0===e?!0:e,this.docs={},this.docInfo={},this.length=0},t.DocumentStore.load=function(e){var t=new this;return t.length=e.length,t.docs=e.docs,t.docInfo=e.docInfo,t._save=e.save,t},t.DocumentStore.prototype.isDocStored=function(){return this._save},t.DocumentStore.prototype.addDoc=function(t,n){this.hasDoc(t)||this.length++,this.docs[t]=this._save===!0?e(n):null},t.DocumentStore.prototype.getDoc=function(e){return this.hasDoc(e)===!1?null:this.docs[e]},t.DocumentStore.prototype.hasDoc=function(e){return e in this.docs},t.DocumentStore.prototype.removeDoc=function(e){this.hasDoc(e)&&(delete this.docs[e],delete this.docInfo[e],this.length--)},t.DocumentStore.prototype.addFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&(this.docInfo[e]||(this.docInfo[e]={}),this.docInfo[e][t]=n)},t.DocumentStore.prototype.updateFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&this.addFieldLength(e,t,n)},t.DocumentStore.prototype.getFieldLength=function(e,t){return null===e||void 0===e?0:e in this.docs&&t in this.docInfo[e]?this.docInfo[e][t]:0},t.DocumentStore.prototype.toJSON=function(){return{docs:this.docs,docInfo:this.docInfo,length:this.length,save:this._save}},t.stemmer=function(){var e={ational:"ate",tional:"tion",enci:"ence",anci:"ance",izer:"ize",bli:"ble",alli:"al",entli:"ent",eli:"e",ousli:"ous",ization:"ize",ation:"ate",ator:"ate",alism:"al",iveness:"ive",fulness:"ful",ousness:"ous",aliti:"al",iviti:"ive",biliti:"ble",logi:"log"},t={icate:"ic",ative:"",alize:"al",iciti:"ic",ical:"ic",ful:"",ness:""},n="[^aeiou]",i="[aeiouy]",o=n+"[^aeiouy]*",r=i+"[aeiou]*",s="^("+o+")?"+r+o,u="^("+o+")?"+r+o+"("+r+")?$",a="^("+o+")?"+r+o+r+o,l="^("+o+")?"+i,c=new RegExp(s),d=new RegExp(a),f=new RegExp(u),h=new RegExp(l),p=/^(.+?)(ss|i)es$/,v=/^(.+?)([^s])s$/,g=/^(.+?)eed$/,m=/^(.+?)(ed|ing)$/,y=/.$/,S=/(at|bl|iz)$/,x=new RegExp("([^aeiouylsz])\\1$"),w=new RegExp("^"+o+i+"[^aeiouwxy]$"),I=/^(.+?[^aeiou])y$/,b=/^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/,E=/^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/,D=/^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/,F=/^(.+?)(s|t)(ion)$/,_=/^(.+?)e$/,P=/ll$/,k=new RegExp("^"+o+i+"[^aeiouwxy]$"),z=function(n){var i,o,r,s,u,a,l;if(n.length<3)return n;if(r=n.substr(0,1),"y"==r&&(n=r.toUpperCase()+n.substr(1)),s=p,u=v,s.test(n)?n=n.replace(s,"$1$2"):u.test(n)&&(n=n.replace(u,"$1$2")),s=g,u=m,s.test(n)){var z=s.exec(n);s=c,s.test(z[1])&&(s=y,n=n.replace(s,""))}else if(u.test(n)){var z=u.exec(n);i=z[1],u=h,u.test(i)&&(n=i,u=S,a=x,l=w,u.test(n)?n+="e":a.test(n)?(s=y,n=n.replace(s,"")):l.test(n)&&(n+="e"))}if(s=I,s.test(n)){var z=s.exec(n);i=z[1],n=i+"i"}if(s=b,s.test(n)){var z=s.exec(n);i=z[1],o=z[2],s=c,s.test(i)&&(n=i+e[o])}if(s=E,s.test(n)){var z=s.exec(n);i=z[1],o=z[2],s=c,s.test(i)&&(n=i+t[o])}if(s=D,u=F,s.test(n)){var z=s.exec(n);i=z[1],s=d,s.test(i)&&(n=i)}else if(u.test(n)){var z=u.exec(n);i=z[1]+z[2],u=d,u.test(i)&&(n=i)}if(s=_,s.test(n)){var z=s.exec(n);i=z[1],s=d,u=f,a=k,(s.test(i)||u.test(i)&&!a.test(i))&&(n=i)}return s=P,u=d,s.test(n)&&u.test(n)&&(s=y,n=n.replace(s,"")),"y"==r&&(n=r.toLowerCase()+n.substr(1)),n};return z}(),t.Pipeline.registerFunction(t.stemmer,"stemmer"),t.stopWordFilter=function(e){return e&&t.stopWordFilter.stopWords[e]!==!0?e:void 0},t.clearStopWords=function(){t.stopWordFilter.stopWords={}},t.addStopWords=function(e){null!=e&&Array.isArray(e)!==!1&&e.forEach(function(e){t.stopWordFilter.stopWords[e]=!0},this)},t.resetStopWords=function(){t.stopWordFilter.stopWords=t.defaultStopWords},t.defaultStopWords={"":!0,a:!0,able:!0,about:!0,across:!0,after:!0,all:!0,almost:!0,also:!0,am:!0,among:!0,an:!0,and:!0,any:!0,are:!0,as:!0,at:!0,be:!0,because:!0,been:!0,but:!0,by:!0,can:!0,cannot:!0,could:!0,dear:!0,did:!0,"do":!0,does:!0,either:!0,"else":!0,ever:!0,every:!0,"for":!0,from:!0,get:!0,got:!0,had:!0,has:!0,have:!0,he:!0,her:!0,hers:!0,him:!0,his:!0,how:!0,however:!0,i:!0,"if":!0,"in":!0,into:!0,is:!0,it:!0,its:!0,just:!0,least:!0,let:!0,like:!0,likely:!0,may:!0,me:!0,might:!0,most:!0,must:!0,my:!0,neither:!0,no:!0,nor:!0,not:!0,of:!0,off:!0,often:!0,on:!0,only:!0,or:!0,other:!0,our:!0,own:!0,rather:!0,said:!0,say:!0,says:!0,she:!0,should:!0,since:!0,so:!0,some:!0,than:!0,that:!0,the:!0,their:!0,them:!0,then:!0,there:!0,these:!0,they:!0,"this":!0,tis:!0,to:!0,too:!0,twas:!0,us:!0,wants:!0,was:!0,we:!0,were:!0,what:!0,when:!0,where:!0,which:!0,"while":!0,who:!0,whom:!0,why:!0,will:!0,"with":!0,would:!0,yet:!0,you:!0,your:!0},t.stopWordFilter.stopWords=t.defaultStopWords,t.Pipeline.registerFunction(t.stopWordFilter,"stopWordFilter"),t.trimmer=function(e){if(null===e||void 0===e)throw new Error("token should not be undefined");return e.replace(/^\W+/,"").replace(/\W+$/,"")},t.Pipeline.registerFunction(t.trimmer,"trimmer"),t.InvertedIndex=function(){this.root={docs:{},df:0}},t.InvertedIndex.load=function(e){var t=new this;return t.root=e.root,t},t.InvertedIndex.prototype.addToken=function(e,t,n){for(var n=n||this.root,i=0;i<=e.length-1;){var o=e[i];o in n||(n[o]={docs:{},df:0}),i+=1,n=n[o]}var r=t.ref;n.docs[r]?n.docs[r]={tf:t.tf}:(n.docs[r]={tf:t.tf},n.df+=1)},t.InvertedIndex.prototype.hasToken=function(e){if(!e)return!1;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return!1;t=t[e[n]]}return!0},t.InvertedIndex.prototype.getNode=function(e){if(!e)return null;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return null;t=t[e[n]]}return t},t.InvertedIndex.prototype.getDocs=function(e){var t=this.getNode(e);return null==t?{}:t.docs},t.InvertedIndex.prototype.getTermFrequency=function(e,t){var n=this.getNode(e);return null==n?0:t in n.docs?n.docs[t].tf:0},t.InvertedIndex.prototype.getDocFreq=function(e){var t=this.getNode(e);return null==t?0:t.df},t.InvertedIndex.prototype.removeToken=function(e,t){if(e){var n=this.getNode(e);null!=n&&t in n.docs&&(delete n.docs[t],n.df-=1)}},t.InvertedIndex.prototype.expandToken=function(e,t,n){if(null==e||""==e)return[];var t=t||[];if(void 0==n&&(n=this.getNode(e),null==n))return t;n.df>0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e<arguments.length;e++)t=arguments[e],~this.indexOf(t)||this.elements.splice(this.locationFor(t),0,t);this.length=this.elements.length},lunr.SortedSet.prototype.toArray=function(){return this.elements.slice()},lunr.SortedSet.prototype.map=function(e,t){return this.elements.map(e,t)},lunr.SortedSet.prototype.forEach=function(e,t){return this.elements.forEach(e,t)},lunr.SortedSet.prototype.indexOf=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]<u[i]?n++:s[n]>u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o<r.length;o++)i.add(r[o]);return i},lunr.SortedSet.prototype.toJSON=function(){return this.toArray()},function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():e.elasticlunr=t()}(this,function(){return t})}();
\ No newline at end of file
diff --git a/static/general/favicon.ico b/static/general/favicon.ico
new file mode 100644
index 0000000..c6b2ff4
--- /dev/null
+++ b/static/general/favicon.ico
diff --git a/static/general/favicon.png b/static/general/favicon.png
new file mode 100644
index 0000000..f94ea94
--- /dev/null
+++ b/static/general/favicon.png
diff --git a/static/go-profiling/golang-profiling-cpu.pdf b/static/go-profiling/golang-profiling-cpu.pdf
new file mode 100644
index 0000000..15241cb
--- /dev/null
+++ b/static/go-profiling/golang-profiling-cpu.pdf
diff --git a/static/go-profiling/golang-profiling-mem.pdf b/static/go-profiling/golang-profiling-mem.pdf
new file mode 100644
index 0000000..822e445
--- /dev/null
+++ b/static/go-profiling/golang-profiling-mem.pdf
diff --git a/static/goaccess/goaccess-dash-html.png b/static/goaccess/goaccess-dash-html.png
new file mode 100644
index 0000000..917d959
--- /dev/null
+++ b/static/goaccess/goaccess-dash-html.png
diff --git a/static/goaccess/goaccess-dash-term.png b/static/goaccess/goaccess-dash-term.png
new file mode 100644
index 0000000..e3f6357
--- /dev/null
+++ b/static/goaccess/goaccess-dash-term.png
diff --git a/static/helix-editor/editor.png b/static/helix-editor/editor.png
new file mode 100644
index 0000000..2648364
--- /dev/null
+++ b/static/helix-editor/editor.png
diff --git a/static/iot-application/iot-app-output.png b/static/iot-application/iot-app-output.png
new file mode 100644
index 0000000..1c80589
--- /dev/null
+++ b/static/iot-application/iot-app-output.png
diff --git a/static/iot-application/iot-rest-example.png b/static/iot-application/iot-rest-example.png
new file mode 100644
index 0000000..3ed86aa
--- /dev/null
+++ b/static/iot-application/iot-rest-example.png
diff --git a/static/iot-application/iot-sqlite-db.png b/static/iot-application/iot-sqlite-db.png
new file mode 100644
index 0000000..82e1e29
--- /dev/null
+++ b/static/iot-application/iot-sqlite-db.png
diff --git a/static/iot-application/kcachegrind.png b/static/iot-application/kcachegrind.png
new file mode 100644
index 0000000..0dc48ab
--- /dev/null
+++ b/static/iot-application/kcachegrind.png
diff --git a/static/iot-application/profiling-viewer.png b/static/iot-application/profiling-viewer.png
new file mode 100644
index 0000000..a450513
--- /dev/null
+++ b/static/iot-application/profiling-viewer.png
diff --git a/static/iot-application/simple-iot-application-overview.svg b/static/iot-application/simple-iot-application-overview.svg
new file mode 100644
index 0000000..817666d
--- /dev/null
+++ b/static/iot-application/simple-iot-application-overview.svg
@@ -0,0 +1,2 @@
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font-size: 12px; font-family: &quot;Times New Roman&quot;; color: rgb(0, 0, 0); line-height: 1.2; vertical-align: top; width: 46px; white-space: nowrap; word-wrap: normal; font-weight: bold; text-align: right;"><div xmlns="http://www.w3.org/1999/xhtml" style="display:inline-block;text-align:inherit;text-decoration:inherit;"><font face="Helvetica">Route: /</font></div></div></foreignObject><text x="23" y="12" fill="#000000" text-anchor="middle" font-size="12px" font-family="Times New Roman" font-weight="bold">[Not supported by viewer]</text></switch></g><g transform="translate(222.5,284.5)"><switch><foreignObject style="overflow:visible;" pointer-events="all" width="62" height="12" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: inline-block; font-size: 12px; font-family: &quot;Times New Roman&quot;; color: rgb(0, 0, 0); line-height: 1.2; vertical-align: top; width: 63px; white-space: nowrap; word-wrap: normal; font-weight: bold;"><div xmlns="http://www.w3.org/1999/xhtml" style="display:inline-block;text-align:inherit;text-decoration:inherit;"><font face="Helvetica">Route: /api</font></div></div></foreignObject><text x="31" y="12" fill="#000000" text-anchor="middle" font-size="12px" font-family="Times New Roman" font-weight="bold">[Not supported by viewer]</text></switch></g></g></svg>
\ No newline at end of file
diff --git a/static/iot-application/simple-iot-application.zip b/static/iot-application/simple-iot-application.zip
new file mode 100644
index 0000000..46d3205
--- /dev/null
+++ b/static/iot-application/simple-iot-application.zip
diff --git a/static/iot-application/snakeviz.png b/static/iot-application/snakeviz.png
new file mode 100644
index 0000000..5bab395
--- /dev/null
+++ b/static/iot-application/snakeviz.png
diff --git a/static/pid1/boxes.mp4 b/static/pid1/boxes.mp4
new file mode 100644
index 0000000..eb647ff
--- /dev/null
+++ b/static/pid1/boxes.mp4
diff --git a/static/pid1/qemu.log b/static/pid1/qemu.log
new file mode 100644
index 0000000..11be312
--- /dev/null
+++ b/static/pid1/qemu.log
@@ -0,0 +1,320 @@
+[    0.000000] Linux version 5.15.7 (m@khan) (gcc (GCC) 11.2.1 20211203 (Red Hat 11.2.1-7), GNU ld version 2.37-10.fc35) #7 SMP Mon Dec 13 10:23:25 CET 2021
+[    0.000000] Command line: console=ttyS0
+[    0.000000] x86/fpu: x87 FPU will use FXSAVE
+[    0.000000] signal: max sigframe size: 1440
+[    0.000000] BIOS-provided physical RAM map:
+[    0.000000] BIOS-e820: [mem 0x0000000000000000-0x000000000009fbff] usable
+[    0.000000] BIOS-e820: [mem 0x000000000009fc00-0x000000000009ffff] reserved
+[    0.000000] BIOS-e820: [mem 0x00000000000f0000-0x00000000000fffff] reserved
+[    0.000000] BIOS-e820: [mem 0x0000000000100000-0x0000000007fdffff] usable
+[    0.000000] BIOS-e820: [mem 0x0000000007fe0000-0x0000000007ffffff] reserved
+[    0.000000] BIOS-e820: [mem 0x00000000fffc0000-0x00000000ffffffff] reserved
+[    0.000000] NX (Execute Disable) protection: active
+[    0.000000] SMBIOS 2.8 present.
+[    0.000000] DMI: QEMU Standard PC (i440FX + PIIX, 1996), BIOS 1.14.0-6.fc35 04/01/2014
+[    0.000000] tsc: Fast TSC calibration failed
+[    0.000000] last_pfn = 0x7fe0 max_arch_pfn = 0x400000000
+[    0.000000] x86/PAT: Configuration [0-7]: WB  WC  UC- UC  WB  WP  UC- WT
+[    0.000000] found SMP MP-table at [mem 0x000f5c40-0x000f5c4f]
+[    0.000000] RAMDISK: [mem 0x07e06000-0x07fdffff]
+[    0.000000] ACPI: Early table checksum verification disabled
+[    0.000000] ACPI: RSDP 0x00000000000F5A80 000014 (v00 BOCHS )
+[    0.000000] ACPI: RSDT 0x0000000007FE1905 000034 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: FACP 0x0000000007FE17B9 000074 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: DSDT 0x0000000007FE0040 001779 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: FACS 0x0000000007FE0000 000040
+[    0.000000] ACPI: APIC 0x0000000007FE182D 000078 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: HPET 0x0000000007FE18A5 000038 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: WAET 0x0000000007FE18DD 000028 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: Reserving FACP table memory at [mem 0x7fe17b9-0x7fe182c]
+[    0.000000] ACPI: Reserving DSDT table memory at [mem 0x7fe0040-0x7fe17b8]
+[    0.000000] ACPI: Reserving FACS table memory at [mem 0x7fe0000-0x7fe003f]
+[    0.000000] ACPI: Reserving APIC table memory at [mem 0x7fe182d-0x7fe18a4]
+[    0.000000] ACPI: Reserving HPET table memory at [mem 0x7fe18a5-0x7fe18dc]
+[    0.000000] ACPI: Reserving WAET table memory at [mem 0x7fe18dd-0x7fe1904]
+[    0.000000] No NUMA configuration found
+[    0.000000] Faking a node at [mem 0x0000000000000000-0x0000000007fdffff]
+[    0.000000] NODE_DATA(0) allocated [mem 0x07e02000-0x07e05fff]
+[    0.000000] Zone ranges:
+[    0.000000]   DMA      [mem 0x0000000000001000-0x0000000000ffffff]
+[    0.000000]   DMA32    [mem 0x0000000001000000-0x0000000007fdffff]
+[    0.000000]   Normal   empty
+[    0.000000] Movable zone start for each node
+[    0.000000] Early memory node ranges
+[    0.000000]   node   0: [mem 0x0000000000001000-0x000000000009efff]
+[    0.000000]   node   0: [mem 0x0000000000100000-0x0000000007fdffff]
+[    0.000000] Initmem setup node 0 [mem 0x0000000000001000-0x0000000007fdffff]
+[    0.000000] On node 0, zone DMA: 1 pages in unavailable ranges
+[    0.000000] On node 0, zone DMA: 97 pages in unavailable ranges
+[    0.000000] On node 0, zone DMA32: 32 pages in unavailable ranges
+[    0.000000] ACPI: PM-Timer IO Port: 0x608
+[    0.000000] ACPI: LAPIC_NMI (acpi_id[0xff] dfl dfl lint[0x1])
+[    0.000000] IOAPIC[0]: apic_id 0, version 32, address 0xfec00000, GSI 0-23
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 0 global_irq 2 dfl dfl)
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 5 global_irq 5 high level)
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 9 global_irq 9 high level)
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 10 global_irq 10 high level)
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 11 global_irq 11 high level)
+[    0.000000] ACPI: Using ACPI (MADT) for SMP configuration information
+[    0.000000] ACPI: HPET id: 0x8086a201 base: 0xfed00000
+[    0.000000] smpboot: Allowing 1 CPUs, 0 hotplug CPUs
+[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x00000000-0x00000fff]
+[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x0009f000-0x0009ffff]
+[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x000a0000-0x000effff]
+[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x000f0000-0x000fffff]
+[    0.000000] [mem 0x08000000-0xfffbffff] available for PCI devices
+[    0.000000] clocksource: refined-jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 1910969940391419 ns
+[    0.000000] setup_percpu: NR_CPUS:64 nr_cpumask_bits:64 nr_cpu_ids:1 nr_node_ids:1
+[    0.000000] percpu: Embedded 52 pages/cpu s174360 r8192 d30440 u2097152
+[    0.000000] Built 1 zonelists, mobility grouping on.  Total pages: 31968
+[    0.000000] Policy zone: DMA32
+[    0.000000] Kernel command line: console=ttyS0
+[    0.000000] Dentry cache hash table entries: 16384 (order: 5, 131072 bytes, linear)
+[    0.000000] Inode-cache hash table entries: 8192 (order: 4, 65536 bytes, linear)
+[    0.000000] mem auto-init: stack:off, heap alloc:off, heap free:off
+[    0.000000] Memory: 94464K/130552K available (14350K kernel code, 2582K rwdata, 3596K rodata, 1368K init, 1488K bss, 35828K reserved, 0K cma-reserved)
+[    0.000000] SLUB: HWalign=64, Order=0-3, MinObjects=0, CPUs=1, Nodes=1
+[    0.000000] rcu: Hierarchical RCU implementation.
+[    0.000000] rcu:     RCU event tracing is enabled.
+[    0.000000] rcu:     RCU restricting CPUs from NR_CPUS=64 to nr_cpu_ids=1.
+[    0.000000] rcu: RCU calculated value of scheduler-enlistment delay is 100 jiffies.
+[    0.000000] rcu: Adjusting geometry for rcu_fanout_leaf=16, nr_cpu_ids=1
+[    0.000000] NR_IRQS: 4352, nr_irqs: 256, preallocated irqs: 16
+[    0.000000] random: get_random_bytes called from start_kernel+0x492/0x65f with crng_init=0
+[    0.000000] Console: colour VGA+ 80x25
+[    0.000000] printk: console [ttyS0] enabled
+[    0.000000] ACPI: Core revision 20210730
+[    0.000000] clocksource: hpet: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 19112604467 ns
+[    0.002000] APIC: Switch to symmetric I/O mode setup
+[    0.005000] ..TIMER: vector=0x30 apic1=0 pin1=2 apic2=-1 pin2=-1
+[    0.013000] tsc: Unable to calibrate against PIT
+[    0.014000] tsc: using HPET reference calibration
+[    0.014000] tsc: Detected 3189.099 MHz processor
+[    0.001005] clocksource: tsc-early: mask: 0xffffffffffffffff max_cycles: 0x2df8103a89b, max_idle_ns: 440795220785 ns
+[    0.002672] Calibrating delay loop (skipped), value calculated using timer frequency.. 6378.19 BogoMIPS (lpj=3189099)
+[    0.002960] pid_max: default: 32768 minimum: 301
+[    0.003627] LSM: Security Framework initializing
+[    0.004329] SELinux:  Initializing.
+[    0.005051] Mount-cache hash table entries: 512 (order: 0, 4096 bytes, linear)
+[    0.005202] Mountpoint-cache hash table entries: 512 (order: 0, 4096 bytes, linear)
+[    0.020479] process: using AMD E400 aware idle routine
+[    0.020699] Last level iTLB entries: 4KB 512, 2MB 255, 4MB 127
+[    0.020832] Last level dTLB entries: 4KB 512, 2MB 255, 4MB 127, 1GB 0
+[    0.021165] Spectre V1 : Mitigation: usercopy/swapgs barriers and __user pointer sanitization
+[    0.021438] Spectre V2 : Mitigation: Full AMD retpoline
+[    0.021586] Spectre V2 : Spectre v2 / SpectreRSB mitigation: Filling RSB on context switch
+[    0.238228] Freeing SMP alternatives memory: 44K
+[    0.242641] random: fast init done
+[    0.350203] smpboot: CPU0: AMD QEMU Virtual CPU version 2.5+ (family: 0xf, model: 0x6b, stepping: 0x1)
+[    0.355136] Performance Events: PMU not available due to virtualization, using software events only.
+[    0.356607] rcu: Hierarchical SRCU implementation.
+[    0.360890] smp: Bringing up secondary CPUs ...
+[    0.361082] smp: Brought up 1 node, 1 CPU
+[    0.361253] smpboot: Max logical packages: 1
+[    0.361394] smpboot: Total of 1 processors activated (6378.19 BogoMIPS)
+[    0.371481] devtmpfs: initialized
+[    0.378162] clocksource: jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 1911260446275000 ns
+[    0.378478] futex hash table entries: 256 (order: 2, 16384 bytes, linear)
+[    0.381522] PM: RTC time: 00:19:47, date: 2021-12-27
+[    0.384915] NET: Registered PF_NETLINK/PF_ROUTE protocol family
+[    0.387403] audit: initializing netlink subsys (disabled)
+[    0.391765] audit: type=2000 audit(1640564386.402:1): state=initialized audit_enabled=0 res=1
+[    0.392916] thermal_sys: Registered thermal governor 'step_wise'
+[    0.392950] thermal_sys: Registered thermal governor 'user_space'
+[    0.393202] cpuidle: using governor menu
+[    0.394085] ACPI: bus type PCI registered
+[    0.396583] PCI: Using configuration type 1 for base access
+[    0.415012] Kprobes globally optimized
+[    0.416844] HugeTLB registered 2.00 MiB page size, pre-allocated 0 pages
+[    0.420649] cryptomgr_test (20) used greatest stack depth: 15680 bytes left
+[    0.426071] ACPI: Added _OSI(Module Device)
+[    0.426182] ACPI: Added _OSI(Processor Device)
+[    0.426279] ACPI: Added _OSI(3.0 _SCP Extensions)
+[    0.426376] ACPI: Added _OSI(Processor Aggregator Device)
+[    0.426606] ACPI: Added _OSI(Linux-Dell-Video)
+[    0.426709] ACPI: Added _OSI(Linux-Lenovo-NV-HDMI-Audio)
+[    0.426821] ACPI: Added _OSI(Linux-HPI-Hybrid-Graphics)
+[    0.439511] ACPI: 1 ACPI AML tables successfully acquired and loaded
+[    0.452709] ACPI: Interpreter enabled
+[    0.453468] ACPI: PM: (supports S0 S3 S4 S5)
+[    0.453603] ACPI: Using IOAPIC for interrupt routing
+[    0.454022] PCI: Using host bridge windows from ACPI; if necessary, use "pci=nocrs" and report a bug
+[    0.455266] ACPI: Enabled 2 GPEs in block 00 to 0F
+[    0.480013] ACPI: PCI Root Bridge [PCI0] (domain 0000 [bus 00-ff])
+[    0.480702] acpi PNP0A03:00: _OSC: OS supports [ASPM ClockPM Segments MSI HPX-Type3]
+[    0.481425] acpi PNP0A03:00: fail to add MMCONFIG information, can't access extended PCI configuration space under this bridge.
+[    0.483666] PCI host bridge to bus 0000:00
+[    0.483848] pci_bus 0000:00: root bus resource [io  0x0000-0x0cf7 window]
+[    0.484096] pci_bus 0000:00: root bus resource [io  0x0d00-0xffff window]
+[    0.484237] pci_bus 0000:00: root bus resource [mem 0x000a0000-0x000bffff window]
+[    0.484480] pci_bus 0000:00: root bus resource [mem 0x08000000-0xfebfffff window]
+[    0.484578] pci_bus 0000:00: root bus resource [mem 0x100000000-0x17fffffff window]
+[    0.484870] pci_bus 0000:00: root bus resource [bus 00-ff]
+[    0.486588] pci 0000:00:00.0: [8086:1237] type 00 class 0x060000
+[    0.492625] pci 0000:00:01.0: [8086:7000] type 00 class 0x060100
+[    0.493621] pci 0000:00:01.1: [8086:7010] type 00 class 0x010180
+[    0.495015] pci 0000:00:01.1: reg 0x20: [io  0xc040-0xc04f]
+[    0.495760] pci 0000:00:01.1: legacy IDE quirk: reg 0x10: [io  0x01f0-0x01f7]
+[    0.495936] pci 0000:00:01.1: legacy IDE quirk: reg 0x14: [io  0x03f6]
+[    0.496095] pci 0000:00:01.1: legacy IDE quirk: reg 0x18: [io  0x0170-0x0177]
+[    0.496598] pci 0000:00:01.1: legacy IDE quirk: reg 0x1c: [io  0x0376]
+[    0.497793] pci 0000:00:01.3: [8086:7113] type 00 class 0x068000
+[    0.498219] pci 0000:00:01.3: quirk: [io  0x0600-0x063f] claimed by PIIX4 ACPI
+[    0.498384] pci 0000:00:01.3: quirk: [io  0x0700-0x070f] claimed by PIIX4 SMB
+[    0.499487] pci 0000:00:02.0: [1234:1111] type 00 class 0x030000
+[    0.500186] pci 0000:00:02.0: reg 0x10: [mem 0xfd000000-0xfdffffff pref]
+[    0.500569] pci 0000:00:02.0: reg 0x18: [mem 0xfebf0000-0xfebf0fff]
+[    0.502569] pci 0000:00:02.0: reg 0x30: [mem 0xfebe0000-0xfebeffff pref]
+[    0.508052] pci 0000:00:03.0: [8086:100e] type 00 class 0x020000
+[    0.508590] pci 0000:00:03.0: reg 0x10: [mem 0xfebc0000-0xfebdffff]
+[    0.509075] pci 0000:00:03.0: reg 0x14: [io  0xc000-0xc03f]
+[    0.511015] pci 0000:00:03.0: reg 0x30: [mem 0xfeb80000-0xfebbffff pref]
+[    0.517286] ACPI: PCI: Interrupt link LNKA configured for IRQ 10
+[    0.518032] ACPI: PCI: Interrupt link LNKB configured for IRQ 10
+[    0.518504] ACPI: PCI: Interrupt link LNKC configured for IRQ 11
+[    0.518920] ACPI: PCI: Interrupt link LNKD configured for IRQ 11
+[    0.519208] ACPI: PCI: Interrupt link LNKS configured for IRQ 9
+[    0.521412] iommu: Default domain type: Translated
+[    0.521589] iommu: DMA domain TLB invalidation policy: lazy mode
+[    0.524448] pci 0000:00:02.0: vgaarb: setting as boot VGA device
+[    0.524569] pci 0000:00:02.0: vgaarb: VGA device added: decodes=io+mem,owns=io+mem,locks=none
+[    0.524633] pci 0000:00:02.0: vgaarb: bridge control possible
+[    0.524846] vgaarb: loaded
+[    0.526151] SCSI subsystem initialized
+[    0.528124] ACPI: bus type USB registered
+[    0.528600] usbcore: registered new interface driver usbfs
+[    0.528917] usbcore: registered new interface driver hub
+[    0.529156] usbcore: registered new device driver usb
+[    0.529593] pps_core: LinuxPPS API ver. 1 registered
+[    0.529693] pps_core: Software ver. 5.3.6 - Copyright 2005-2007 Rodolfo Giometti <giometti@linux.it>
+[    0.529916] PTP clock support registered
+[    0.531428] Advanced Linux Sound Architecture Driver Initialized.
+[    0.538313] NetLabel: Initializing
+[    0.538413] NetLabel:  domain hash size = 128
+[    0.538513] NetLabel:  protocols = UNLABELED CIPSOv4 CALIPSO
+[    0.539300] NetLabel:  unlabeled traffic allowed by default
+[    0.540192] PCI: Using ACPI for IRQ routing
+[    0.541336] hpet: 3 channels of 0 reserved for per-cpu timers
+[    0.541742] hpet0: at MMIO 0xfed00000, IRQs 2, 8, 0
+[    0.541934] hpet0: 3 comparators, 64-bit 100.000000 MHz counter
+[    0.547124] clocksource: Switched to clocksource tsc-early
+[    0.589778] VFS: Disk quotas dquot_6.6.0
+[    0.590116] VFS: Dquot-cache hash table entries: 512 (order 0, 4096 bytes)
+[    0.591999] pnp: PnP ACPI init
+[    1.348853] pnp: PnP ACPI: found 6 devices
+[    1.363393] clocksource: acpi_pm: mask: 0xffffff max_cycles: 0xffffff, max_idle_ns: 2085701024 ns
+[    1.364026] NET: Registered PF_INET protocol family
+[    1.364871] IP idents hash table entries: 2048 (order: 2, 16384 bytes, linear)
+[    1.369722] tcp_listen_portaddr_hash hash table entries: 256 (order: 0, 4096 bytes, linear)
+[    1.369973] TCP established hash table entries: 1024 (order: 1, 8192 bytes, linear)
+[    1.370241] TCP bind hash table entries: 1024 (order: 2, 16384 bytes, linear)
+[    1.370483] TCP: Hash tables configured (established 1024 bind 1024)
+[    1.371348] UDP hash table entries: 256 (order: 1, 8192 bytes, linear)
+[    1.371835] UDP-Lite hash table entries: 256 (order: 1, 8192 bytes, linear)
+[    1.373053] NET: Registered PF_UNIX/PF_LOCAL protocol family
+[    1.374701] RPC: Registered named UNIX socket transport module.
+[    1.375153] RPC: Registered udp transport module.
+[    1.375280] RPC: Registered tcp transport module.
+[    1.375386] RPC: Registered tcp NFSv4.1 backchannel transport module.
+[    1.377429] pci_bus 0000:00: resource 4 [io  0x0000-0x0cf7 window]
+[    1.377567] pci_bus 0000:00: resource 5 [io  0x0d00-0xffff window]
+[    1.377738] pci_bus 0000:00: resource 6 [mem 0x000a0000-0x000bffff window]
+[    1.377893] pci_bus 0000:00: resource 7 [mem 0x08000000-0xfebfffff window]
+[    1.378032] pci_bus 0000:00: resource 8 [mem 0x100000000-0x17fffffff window]
+[    1.378574] pci 0000:00:01.0: PIIX3: Enabling Passive Release
+[    1.378817] pci 0000:00:00.0: Limiting direct PCI/PCI transfers
+[    1.378993] pci 0000:00:01.0: Activating ISA DMA hang workarounds
+[    1.379296] pci 0000:00:02.0: Video device with shadowed ROM at [mem 0x000c0000-0x000dffff]
+[    1.379537] PCI: CLS 0 bytes, default 64
+[    1.385473] Unpacking initramfs...
+[    1.394653] Initialise system trusted keyrings
+[    1.395898] workingset: timestamp_bits=56 max_order=15 bucket_order=0
+[    1.400517] Freeing initrd memory: 1896K
+[    1.409899] NFS: Registering the id_resolver key type
+[    1.410240] Key type id_resolver registered
+[    1.410358] Key type id_legacy registered
+[    1.436299] Key type asymmetric registered
+[    1.436505] Asymmetric key parser 'x509' registered
+[    1.436899] Block layer SCSI generic (bsg) driver version 0.4 loaded (major 251)
+[    1.437334] io scheduler mq-deadline registered
+[    1.437848] io scheduler kyber registered
+[    1.440723] input: Power Button as /devices/LNXSYSTM:00/LNXPWRBN:00/input/input0
+[    1.443386] ACPI: button: Power Button [PWRF]
+[    1.445654] Serial: 8250/16550 driver, 4 ports, IRQ sharing enabled
+[    1.447264] 00:04: ttyS0 at I/O 0x3f8 (irq = 4, base_baud = 115200) is a 16550A
+[    1.450740] Non-volatile memory driver v1.3
+[    1.451106] Linux agpgart interface v0.103
+[    1.467087] loop: module loaded
+[    1.474468] scsi host0: ata_piix
+[    1.476252] scsi host1: ata_piix
+[    1.476701] ata1: PATA max MWDMA2 cmd 0x1f0 ctl 0x3f6 bmdma 0xc040 irq 14
+[    1.476882] ata2: PATA max MWDMA2 cmd 0x170 ctl 0x376 bmdma 0xc048 irq 15
+[    1.481539] libphy: Fixed MDIO Bus: probed
+[    1.482188] e100: Intel(R) PRO/100 Network Driver
+[    1.482313] e100: Copyright(c) 1999-2006 Intel Corporation
+[    1.482507] e1000: Intel(R) PRO/1000 Network Driver
+[    1.482702] e1000: Copyright (c) 1999-2006 Intel Corporation.
+[    1.616439] ACPI: \_SB_.LNKC: Enabled at IRQ 11
+[    1.649465] ata2.00: ATAPI: QEMU DVD-ROM, 2.5+, max UDMA/100
+[    1.664135] scsi 1:0:0:0: CD-ROM            QEMU     QEMU DVD-ROM     2.5+ PQ: 0 ANSI: 5
+[    1.693021] sr 1:0:0:0: [sr0] scsi3-mmc drive: 4x/4x cd/rw xa/form2 tray
+[    1.693338] cdrom: Uniform CD-ROM driver Revision: 3.20
+[    1.723925] sr 1:0:0:0: Attached scsi generic sg0 type 5
+[    1.946674] e1000 0000:00:03.0 eth0: (PCI:33MHz:32-bit) 52:54:00:12:34:56
+[    1.947107] e1000 0000:00:03.0 eth0: Intel(R) PRO/1000 Network Connection
+[    1.947650] e1000e: Intel(R) PRO/1000 Network Driver
+[    1.947749] e1000e: Copyright(c) 1999 - 2015 Intel Corporation.
+[    1.947947] sky2: driver version 1.30
+[    1.948805] ehci_hcd: USB 2.0 'Enhanced' Host Controller (EHCI) Driver
+[    1.948993] ehci-pci: EHCI PCI platform driver
+[    1.949218] ohci_hcd: USB 1.1 'Open' Host Controller (OHCI) Driver
+[    1.949394] ohci-pci: OHCI PCI platform driver
+[    1.949636] uhci_hcd: USB Universal Host Controller Interface driver
+[    1.950082] usbcore: registered new interface driver usblp
+[    1.950302] usbcore: registered new interface driver usb-storage
+[    1.951012] i8042: PNP: PS/2 Controller [PNP0303:KBD,PNP0f13:MOU] at 0x60,0x64 irq 1,12
+[    1.954333] serio: i8042 KBD port at 0x60,0x64 irq 1
+[    1.954634] serio: i8042 AUX port at 0x60,0x64 irq 12
+[    1.957984] input: AT Translated Set 2 keyboard as /devices/platform/i8042/serio0/input/input1
+[    1.960071] rtc_cmos 00:05: RTC can wake from S4
+[    1.964738] rtc_cmos 00:05: registered as rtc0
+[    1.965357] rtc_cmos 00:05: alarms up to one day, y3k, 242 bytes nvram, hpet irqs
+[    1.966676] device-mapper: ioctl: 4.45.0-ioctl (2021-03-22) initialised: dm-devel@redhat.com
+[    1.967364] hid: raw HID events driver (C) Jiri Kosina
+[    1.968571] usbcore: registered new interface driver usbhid
+[    1.968750] usbhid: USB HID core driver
+[    1.974818] Initializing XFRM netlink socket
+[    1.975673] NET: Registered PF_INET6 protocol family
+[    1.981212] Segment Routing with IPv6
+[    1.981421] In-situ OAM (IOAM) with IPv6
+[    1.982292] sit: IPv6, IPv4 and MPLS over IPv4 tunneling driver
+[    1.984278] NET: Registered PF_PACKET protocol family
+[    1.984857] Key type dns_resolver registered
+[    1.985989] IPI shorthand broadcast: enabled
+[    1.986261] sched_clock: Marking stable (1999028700, -13430834)->(1985937339, -339473)
+[    1.987965] registered taskstats version 1
+[    1.988095] Loading compiled-in X.509 certificates
+[    1.991283] PM:   Magic number: 1:335:305
+[    1.991523] tty tty34: hash matches
+[    1.991951] printk: console [netcon0] enabled
+[    1.992067] netconsole: network logging started
+[    1.994549] cfg80211: Loading compiled-in X.509 certificates for regulatory database
+[    2.004972] kworker/u2:2 (64) used greatest stack depth: 14856 bytes left
+[    2.012521] cfg80211: Loaded X.509 cert 'sforshee: 00b28ddf47aef9cea7'
+[    2.013924] platform regulatory.0: Direct firmware load for regulatory.db failed with error -2
+[    2.014318] cfg80211: failed to load regulatory.db
+[    2.016106] ALSA device list:
+[    2.016329]   No soundcards found.
+[    2.053176] Freeing unused kernel image (initmem) memory: 1368K
+[    2.056095] Write protecting the kernel read-only data: 20480k
+[    2.058248] Freeing unused kernel image (text/rodata gap) memory: 2032K
+[    2.058811] Freeing unused kernel image (rodata/data gap) memory: 500K
+[    2.059164] Run /init as init process
+Hello from Golang
+[    2.386879] tsc: Refined TSC clocksource calibration: 3192.032 MHz
+[    2.387114] clocksource: tsc: mask: 0xffffffffffffffff max_cycles: 0x2e02e31fa14, max_idle_ns: 440795264947 ns
+[    2.387380] clocksource: Switched to clocksource tsc
+[    2.587895] input: ImExPS/2 Generic Explorer Mouse as /devices/platform/i8042/serio1/input/input3
+Hello from Golang
+Hello from Golang
+Hello from Golang
diff --git a/static/pid1/unikernels.png b/static/pid1/unikernels.png
new file mode 100644
index 0000000..16026ed
--- /dev/null
+++ b/static/pid1/unikernels.png
diff --git a/static/pid1/unikernels.svg b/static/pid1/unikernels.svg
new file mode 100644
index 0000000..460fb94
--- /dev/null
+++ b/static/pid1/unikernels.svg
@@ -0,0 +1,128 @@
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diff --git a/static/profile-bind-error/error.jpg b/static/profile-bind-error/error.jpg
new file mode 100644
index 0000000..c2e4e8f
--- /dev/null
+++ b/static/profile-bind-error/error.jpg
diff --git a/static/python-profiling/kcachegrind.png b/static/python-profiling/kcachegrind.png
new file mode 100644
index 0000000..0dc48ab
--- /dev/null
+++ b/static/python-profiling/kcachegrind.png
diff --git a/static/python-profiling/profiling-viewer.png b/static/python-profiling/profiling-viewer.png
new file mode 100644
index 0000000..a450513
--- /dev/null
+++ b/static/python-profiling/profiling-viewer.png
diff --git a/static/python-profiling/snakeviz.png b/static/python-profiling/snakeviz.png
new file mode 100644
index 0000000..5bab395
--- /dev/null
+++ b/static/python-profiling/snakeviz.png
diff --git a/static/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb b/static/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb
new file mode 100644
index 0000000..e2a85c4
--- /dev/null
+++ b/static/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb
@@ -0,0 +1,588 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2.0.0-beta1\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
+     ]
+    }
+   ],
+   "source": [
+    "import tensorflow as tf\n",
+    "from tensorflow import keras\n",
+    "\n",
+    "# Helper libraries\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "print(tf.__version__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from numpy import genfromtxt\n",
+    "data = genfromtxt('data.csv', delimiter=',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_input = data[:,0:3]\n",
+    "data_labels = data[:,3]\n",
+    "\n",
+    "#data_input = np.transpose(data_input)\n",
+    "#data_labels = np.transpose(data_labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(600, 3)\n",
+      "[1.e-01 1.e+00 3.e+02]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(np.shape(data_input))\n",
+    "print(data_input[2])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "print(len(data_input))\n",
+    "print(len(data_labels))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(500, 3)\n",
+      "(100, 3)\n",
+      "(500,)\n",
+      "(100,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "data_input_train = data_input[0:500,:]\n",
+    "data_input_test = data_input[500:,:]\n",
+    "\n",
+    "data_labels_train = data_labels[0:500]\n",
+    "data_labels_test = data_labels[500:]\n",
+    "\n",
+    "print(np.shape(data_input_train))\n",
+    "print(np.shape(data_input_test))\n",
+    "\n",
+    "print(np.shape(data_labels_train))\n",
+    "print(np.shape(data_labels_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = keras.Sequential([\n",
+    "    keras.layers.Dense(128, activation='relu', input_shape=[3]),\n",
+    "    keras.layers.Dense(512, activation='relu'),\n",
+    "    keras.layers.Dense(512, activation='relu'),\n",
+    "    keras.layers.Dense(512, activation='relu'),\n",
+    "    keras.layers.Dense(128, activation='relu'),\n",
+    "    keras.layers.Dense(1)\n",
+    "])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "optimizer = tf.keras.optimizers.RMSprop(0.001)\n",
+    "model.compile(loss='mse',\n",
+    "                optimizer=optimizer,\n",
+    "                metrics=['accuracy'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on 500 samples\n",
+      "Epoch 1/100\n",
+      "500/500 [==============================] - 0s 399us/sample - loss: 247.2794 - accuracy: 0.0040\n",
+      "Epoch 2/100\n",
+      "500/500 [==============================] - 0s 121us/sample - loss: 4.2495 - accuracy: 0.0060\n",
+      "Epoch 3/100\n",
+      "500/500 [==============================] - 0s 131us/sample - loss: 1.8787 - accuracy: 0.0040\n",
+      "Epoch 4/100\n",
+      "500/500 [==============================] - 0s 121us/sample - loss: 0.4284 - accuracy: 0.0060\n",
+      "Epoch 5/100\n",
+      "500/500 [==============================] - 0s 107us/sample - loss: 4.7904 - accuracy: 0.0080\n",
+      "Epoch 6/100\n",
+      "500/500 [==============================] - 0s 113us/sample - loss: 0.0819 - accuracy: 0.0040\n",
+      "Epoch 7/100\n",
+      "500/500 [==============================] - 0s 108us/sample - loss: 1.6904 - accuracy: 0.0040\n",
+      "Epoch 8/100\n",
+      "500/500 [==============================] - 0s 116us/sample - loss: 0.1761 - accuracy: 0.0040\n",
+      "Epoch 9/100\n",
+      "500/500 [==============================] - 0s 142us/sample - loss: 0.1135 - accuracy: 0.0040\n",
+      "Epoch 10/100\n",
+      "500/500 [==============================] - 0s 124us/sample - loss: 0.4387 - accuracy: 0.0040\n",
+      "Epoch 11/100\n",
+      "500/500 [==============================] - 0s 112us/sample - loss: 0.0815 - accuracy: 0.0040\n",
+      "Epoch 12/100\n",
+      "500/500 [==============================] - 0s 117us/sample - loss: 0.1725 - accuracy: 0.0040\n",
+      "Epoch 13/100\n",
+      "500/500 [==============================] - 0s 119us/sample - loss: 0.1487 - accuracy: 0.0040\n",
+      "Epoch 14/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.0720 - accuracy: 0.0040\n",
+      "Epoch 15/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.3110 - accuracy: 0.0040\n",
+      "Epoch 16/100\n",
+      "500/500 [==============================] - 0s 128us/sample - loss: 0.0947 - accuracy: 0.0040\n",
+      "Epoch 17/100\n",
+      "500/500 [==============================] - 0s 133us/sample - loss: 0.0739 - accuracy: 0.0040\n",
+      "Epoch 18/100\n",
+      "500/500 [==============================] - 0s 131us/sample - loss: 0.1353 - accuracy: 0.0060\n",
+      "Epoch 19/100\n",
+      "500/500 [==============================] - 0s 135us/sample - loss: 0.0837 - accuracy: 0.0040\n",
+      "Epoch 20/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0754 - accuracy: 0.0040\n",
+      "Epoch 21/100\n",
+      "500/500 [==============================] - 0s 118us/sample - loss: 0.0840 - accuracy: 0.0040\n",
+      "Epoch 22/100\n",
+      "500/500 [==============================] - 0s 115us/sample - loss: 0.1105 - accuracy: 0.0040\n",
+      "Epoch 23/100\n",
+      "500/500 [==============================] - 0s 116us/sample - loss: 0.0651 - accuracy: 0.0040\n",
+      "Epoch 24/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0615 - accuracy: 0.0040\n",
+      "Epoch 25/100\n",
+      "500/500 [==============================] - 0s 118us/sample - loss: 0.0656 - accuracy: 0.0040\n",
+      "Epoch 26/100\n",
+      "500/500 [==============================] - 0s 113us/sample - loss: 0.0695 - accuracy: 0.0040\n",
+      "Epoch 27/100\n",
+      "500/500 [==============================] - 0s 116us/sample - loss: 0.0585 - accuracy: 0.0040\n",
+      "Epoch 28/100\n",
+      "500/500 [==============================] - 0s 118us/sample - loss: 0.1300 - accuracy: 0.0040\n",
+      "Epoch 29/100\n",
+      "500/500 [==============================] - 0s 112us/sample - loss: 0.0567 - accuracy: 0.0040\n",
+      "Epoch 30/100\n",
+      "500/500 [==============================] - 0s 137us/sample - loss: 0.0647 - accuracy: 0.0040\n",
+      "Epoch 31/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0559 - accuracy: 0.0040\n",
+      "Epoch 32/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0576 - accuracy: 0.0040\n",
+      "Epoch 33/100\n",
+      "500/500 [==============================] - 0s 128us/sample - loss: 0.0578 - accuracy: 0.0040\n",
+      "Epoch 34/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0512 - accuracy: 0.0040\n",
+      "Epoch 35/100\n",
+      "500/500 [==============================] - 0s 114us/sample - loss: 0.0601 - accuracy: 0.0040\n",
+      "Epoch 36/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.0531 - accuracy: 0.0040\n",
+      "Epoch 37/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0532 - accuracy: 0.0040\n",
+      "Epoch 38/100\n",
+      "500/500 [==============================] - 0s 131us/sample - loss: 0.0480 - accuracy: 0.0040\n",
+      "Epoch 39/100\n",
+      "500/500 [==============================] - 0s 136us/sample - loss: 0.0503 - accuracy: 0.0040\n",
+      "Epoch 40/100\n",
+      "500/500 [==============================] - 0s 134us/sample - loss: 0.0468 - accuracy: 0.0040\n",
+      "Epoch 41/100\n",
+      "500/500 [==============================] - 0s 115us/sample - loss: 0.0509 - accuracy: 0.0040\n",
+      "Epoch 42/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0453 - accuracy: 0.0040\n",
+      "Epoch 43/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.0484 - accuracy: 0.0040\n",
+      "Epoch 44/100\n",
+      "500/500 [==============================] - 0s 104us/sample - loss: 0.0458 - accuracy: 0.0040\n",
+      "Epoch 45/100\n",
+      "500/500 [==============================] - 0s 110us/sample - loss: 0.0481 - accuracy: 0.0040\n",
+      "Epoch 46/100\n",
+      "500/500 [==============================] - 0s 114us/sample - loss: 0.0468 - accuracy: 0.0060\n",
+      "Epoch 47/100\n",
+      "500/500 [==============================] - 0s 124us/sample - loss: 0.0473 - accuracy: 0.0060\n",
+      "Epoch 48/100\n",
+      "500/500 [==============================] - 0s 137us/sample - loss: 0.0455 - accuracy: 0.0040\n",
+      "Epoch 49/100\n",
+      "500/500 [==============================] - 0s 125us/sample - loss: 0.0431 - accuracy: 0.0060\n",
+      "Epoch 50/100\n",
+      "500/500 [==============================] - 0s 132us/sample - loss: 0.0432 - accuracy: 0.0060\n",
+      "Epoch 51/100\n",
+      "500/500 [==============================] - 0s 116us/sample - loss: 0.0484 - accuracy: 0.0060\n",
+      "Epoch 52/100\n",
+      "500/500 [==============================] - 0s 112us/sample - loss: 0.0482 - accuracy: 0.0040\n",
+      "Epoch 53/100\n",
+      "500/500 [==============================] - 0s 117us/sample - loss: 0.0444 - accuracy: 0.0060\n",
+      "Epoch 54/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0469 - accuracy: 0.0060\n",
+      "Epoch 55/100\n",
+      "500/500 [==============================] - 0s 106us/sample - loss: 0.0427 - accuracy: 0.0040\n",
+      "Epoch 56/100\n",
+      "500/500 [==============================] - 0s 110us/sample - loss: 0.0433 - accuracy: 0.0040\n",
+      "Epoch 57/100\n",
+      "500/500 [==============================] - 0s 102us/sample - loss: 0.0437 - accuracy: 0.0060\n",
+      "Epoch 58/100\n",
+      "500/500 [==============================] - 0s 117us/sample - loss: 0.0425 - accuracy: 0.0040\n",
+      "Epoch 59/100\n",
+      "500/500 [==============================] - 0s 105us/sample - loss: 0.0418 - accuracy: 0.0040\n",
+      "Epoch 60/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0397 - accuracy: 0.0040\n",
+      "Epoch 61/100\n",
+      "500/500 [==============================] - 0s 119us/sample - loss: 0.0507 - accuracy: 0.0040\n",
+      "Epoch 62/100\n",
+      "500/500 [==============================] - 0s 112us/sample - loss: 0.0402 - accuracy: 0.0060\n",
+      "Epoch 63/100\n",
+      "500/500 [==============================] - 0s 133us/sample - loss: 0.0397 - accuracy: 0.0040\n",
+      "Epoch 64/100\n",
+      "500/500 [==============================] - 0s 132us/sample - loss: 0.0427 - accuracy: 0.0060\n",
+      "Epoch 65/100\n",
+      "500/500 [==============================] - 0s 138us/sample - loss: 0.0398 - accuracy: 0.0040\n",
+      "Epoch 66/100\n",
+      "500/500 [==============================] - 0s 145us/sample - loss: 0.0375 - accuracy: 0.0060\n",
+      "Epoch 67/100\n",
+      "500/500 [==============================] - 0s 138us/sample - loss: 0.0402 - accuracy: 0.0060\n",
+      "Epoch 68/100\n",
+      "500/500 [==============================] - 0s 132us/sample - loss: 0.0388 - accuracy: 0.0080\n",
+      "Epoch 69/100\n",
+      "500/500 [==============================] - 0s 115us/sample - loss: 0.0375 - accuracy: 0.0080\n",
+      "Epoch 70/100\n",
+      "500/500 [==============================] - 0s 113us/sample - loss: 0.0384 - accuracy: 0.0040\n",
+      "Epoch 71/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0360 - accuracy: 0.0080\n",
+      "Epoch 72/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.0350 - accuracy: 0.0080\n",
+      "Epoch 73/100\n",
+      "500/500 [==============================] - 0s 118us/sample - loss: 0.0370 - accuracy: 0.0060\n",
+      "Epoch 74/100\n",
+      "500/500 [==============================] - 0s 95us/sample - loss: 0.0354 - accuracy: 0.0080\n",
+      "Epoch 75/100\n",
+      "500/500 [==============================] - 0s 102us/sample - loss: 0.0376 - accuracy: 0.0060\n",
+      "Epoch 76/100\n",
+      "500/500 [==============================] - 0s 106us/sample - loss: 0.0371 - accuracy: 0.0080\n",
+      "Epoch 77/100\n",
+      "500/500 [==============================] - 0s 100us/sample - loss: 0.0369 - accuracy: 0.0060\n",
+      "Epoch 78/100\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "500/500 [==============================] - 0s 98us/sample - loss: 0.0315 - accuracy: 0.0060\n",
+      "Epoch 79/100\n",
+      "500/500 [==============================] - 0s 97us/sample - loss: 0.0355 - accuracy: 0.0060\n",
+      "Epoch 80/100\n",
+      "500/500 [==============================] - 0s 100us/sample - loss: 0.0278 - accuracy: 0.0080\n",
+      "Epoch 81/100\n",
+      "500/500 [==============================] - 0s 99us/sample - loss: 0.0320 - accuracy: 0.0080\n",
+      "Epoch 82/100\n",
+      "500/500 [==============================] - 0s 99us/sample - loss: 0.0321 - accuracy: 0.0080\n",
+      "Epoch 83/100\n",
+      "500/500 [==============================] - 0s 94us/sample - loss: 0.0332 - accuracy: 0.0060\n",
+      "Epoch 84/100\n",
+      "500/500 [==============================] - 0s 106us/sample - loss: 0.0317 - accuracy: 0.0060\n",
+      "Epoch 85/100\n",
+      "500/500 [==============================] - 0s 103us/sample - loss: 0.0293 - accuracy: 0.0080\n",
+      "Epoch 86/100\n",
+      "500/500 [==============================] - 0s 107us/sample - loss: 0.0304 - accuracy: 0.0060\n",
+      "Epoch 87/100\n",
+      "500/500 [==============================] - 0s 101us/sample - loss: 0.0327 - accuracy: 0.0040\n",
+      "Epoch 88/100\n",
+      "500/500 [==============================] - 0s 100us/sample - loss: 0.0290 - accuracy: 0.0080\n",
+      "Epoch 89/100\n",
+      "500/500 [==============================] - 0s 123us/sample - loss: 0.0293 - accuracy: 0.0060\n",
+      "Epoch 90/100\n",
+      "500/500 [==============================] - 0s 104us/sample - loss: 0.0246 - accuracy: 0.0060\n",
+      "Epoch 91/100\n",
+      "500/500 [==============================] - 0s 124us/sample - loss: 0.0303 - accuracy: 0.0060\n",
+      "Epoch 92/100\n",
+      "500/500 [==============================] - 0s 129us/sample - loss: 0.0376 - accuracy: 0.0080\n",
+      "Epoch 93/100\n",
+      "500/500 [==============================] - 0s 122us/sample - loss: 0.0264 - accuracy: 0.0080\n",
+      "Epoch 94/100\n",
+      "500/500 [==============================] - 0s 102us/sample - loss: 0.0265 - accuracy: 0.0080\n",
+      "Epoch 95/100\n",
+      "500/500 [==============================] - 0s 108us/sample - loss: 0.0291 - accuracy: 0.0080\n",
+      "Epoch 96/100\n",
+      "500/500 [==============================] - 0s 101us/sample - loss: 0.0314 - accuracy: 0.0080\n",
+      "Epoch 97/100\n",
+      "500/500 [==============================] - 0s 95us/sample - loss: 0.0257 - accuracy: 0.0060\n",
+      "Epoch 98/100\n",
+      "500/500 [==============================] - 0s 100us/sample - loss: 0.0248 - accuracy: 0.0080\n",
+      "Epoch 99/100\n",
+      "500/500 [==============================] - 0s 94us/sample - loss: 0.0250 - accuracy: 0.0040\n",
+      "Epoch 100/100\n",
+      "500/500 [==============================] - 0s 106us/sample - loss: 0.0312 - accuracy: 0.0060\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<tensorflow.python.keras.callbacks.History at 0x7f55a3853f60>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#model.fit(data_input_train, data_labels_train, validation_data=(data_input_test, data_labels_test), epochs=100)\n",
+    "model.fit(data_input_train, data_labels_train, epochs=100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100/100 - 0s - loss: 0.0470 - accuracy: 0.0100\n",
+      "\n",
+      "Test accuracy: 0.01\n"
+     ]
+    }
+   ],
+   "source": [
+    "test_loss, test_acc = model.evaluate(data_input_test,  data_labels_test, verbose=2)\n",
+    "\n",
+    "print('\\nTest accuracy:', test_acc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[0.3141548]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "input = np.array([0.46,2,136])\n",
+    "input.shape = (1,3)\n",
+    "\n",
+    "prediction = model.predict(input)\n",
+    "print(prediction)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = model.predict(data_input_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib qt \n",
+    "plt.plot(predictions)\n",
+    "plt.plot(data_labels_test, 'r')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib qt\n",
+    "a = data_labels_test - predictions\n",
+    "plt.plot(a[0])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 207,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib qt\n",
+    "a = data_labels_test - predictions\n",
+    "plt.plot(predictions)\n",
+    "plt.plot(data_labels_test, 'r')\n",
+    "plt.plot(a[0], 'g')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.08489150602276586"
+      ]
+     },
+     "execution_count": 180,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.average(a[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_13\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "dense_38 (Dense)             (None, 128)               512       \n",
+      "_________________________________________________________________\n",
+      "dense_39 (Dense)             (None, 512)               66048     \n",
+      "_________________________________________________________________\n",
+      "dense_40 (Dense)             (None, 512)               262656    \n",
+      "_________________________________________________________________\n",
+      "dense_41 (Dense)             (None, 512)               262656    \n",
+      "_________________________________________________________________\n",
+      "dense_42 (Dense)             (None, 128)               65664     \n",
+      "_________________________________________________________________\n",
+      "dense_43 (Dense)             (None, 1)                 129       \n",
+      "=================================================================\n",
+      "Total params: 657,665\n",
+      "Trainable params: 657,665\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    }
+   ],
+   "source": [
+    "model.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.save('my_model.h5')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/static/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb b/static/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
new file mode 100644
index 0000000..2c0934c
--- /dev/null
+++ b/static/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
@@ -0,0 +1,170 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sentiment analysis of Guardian World News articles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Get articles from a website"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install rss parser dependency"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install feedparser"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Parsing RSS feed for world news"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import feedparser\n",
+    "feed_url = \"https://www.theguardian.com/world/rss\"\n",
+    "feed = feedparser.parse(feed_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "for item in feed.entries:\n",
+    "    # sanitize html\n",
+    "    item.description = re.sub('<[^<]+?>', '', item.description)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Vader Sentiment library and perform sentiment analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install vaderSentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "analyser = SentimentIntensityAnalyzer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sentiment_results = []\n",
+    "for item in feed.entries:\n",
+    "    sentiment_title = analyser.polarity_scores(item.title)\n",
+    "    sentiment_description = analyser.polarity_scores(item.description)\n",
+    "    sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Matplotlib and visualize compound score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install matplotlib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.rcParams['figure.figsize'] = (15, 3)\n",
+    "plt.plot(sentiment_results, drawstyle='steps')\n",
+    "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
+    "plt.legend(['title', 'description'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/static/sentiment-analysis/guardian-sa-title-desc-relationship.png b/static/sentiment-analysis/guardian-sa-title-desc-relationship.png
new file mode 100644
index 0000000..7195bbf
--- /dev/null
+++ b/static/sentiment-analysis/guardian-sa-title-desc-relationship.png
diff --git a/static/sentiment-analysis/sentiment-analysis.ipynb b/static/sentiment-analysis/sentiment-analysis.ipynb
new file mode 100644
index 0000000..2c0934c
--- /dev/null
+++ b/static/sentiment-analysis/sentiment-analysis.ipynb
@@ -0,0 +1,170 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sentiment analysis of Guardian World News articles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Get articles from a website"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install rss parser dependency"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install feedparser"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Parsing RSS feed for world news"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import feedparser\n",
+    "feed_url = \"https://www.theguardian.com/world/rss\"\n",
+    "feed = feedparser.parse(feed_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "for item in feed.entries:\n",
+    "    # sanitize html\n",
+    "    item.description = re.sub('<[^<]+?>', '', item.description)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Vader Sentiment library and perform sentiment analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install vaderSentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "analyser = SentimentIntensityAnalyzer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sentiment_results = []\n",
+    "for item in feed.entries:\n",
+    "    sentiment_title = analyser.polarity_scores(item.title)\n",
+    "    sentiment_description = analyser.polarity_scores(item.description)\n",
+    "    sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Matplotlib and visualize compound score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install matplotlib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.rcParams['figure.figsize'] = (15, 3)\n",
+    "plt.plot(sentiment_results, drawstyle='steps')\n",
+    "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
+    "plt.legend(['title', 'description'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/static/simple-pubsub-server/caniuse.png b/static/simple-pubsub-server/caniuse.png
new file mode 100644
index 0000000..90f7883
--- /dev/null
+++ b/static/simple-pubsub-server/caniuse.png
diff --git a/static/simple-pubsub-server/chrome-debugging.png b/static/simple-pubsub-server/chrome-debugging.png
new file mode 100644
index 0000000..1bdc448
--- /dev/null
+++ b/static/simple-pubsub-server/chrome-debugging.png
diff --git a/static/simple-pubsub-server/clients.mp4 b/static/simple-pubsub-server/clients.mp4
new file mode 100644
index 0000000..62a3bcf
--- /dev/null
+++ b/static/simple-pubsub-server/clients.mp4
diff --git a/static/simple-pubsub-server/pubsub-overview.png b/static/simple-pubsub-server/pubsub-overview.png
new file mode 100644
index 0000000..0279ec3
--- /dev/null
+++ b/static/simple-pubsub-server/pubsub-overview.png
diff --git a/static/simple-pubsub-server/sse-pubsub-server.zip b/static/simple-pubsub-server/sse-pubsub-server.zip
new file mode 100644
index 0000000..898b290
--- /dev/null
+++ b/static/simple-pubsub-server/sse-pubsub-server.zip
diff --git a/static/wap/emulator.mp4 b/static/wap/emulator.mp4
new file mode 100644
index 0000000..e4f59aa
--- /dev/null
+++ b/static/wap/emulator.mp4
diff --git a/static/wap/phones.gif b/static/wap/phones.gif
new file mode 100644
index 0000000..15f99e2
--- /dev/null
+++ b/static/wap/phones.gif
diff --git a/static/world-clock/enclosure.stl b/static/world-clock/enclosure.stl
new file mode 100644
index 0000000..99f3d1a
--- /dev/null
+++ b/static/world-clock/enclosure.stl
diff --git a/static/world-clock/hardware.jpg b/static/world-clock/hardware.jpg
new file mode 100644
index 0000000..315a04d
--- /dev/null
+++ b/static/world-clock/hardware.jpg
diff --git a/static/world-clock/world-clock.jpg b/static/world-clock/world-clock.jpg
new file mode 100644
index 0000000..afdb6e2
--- /dev/null
+++ b/static/world-clock/world-clock.jpg
diff --git a/static/yapyap/hello.png b/static/yapyap/hello.png
new file mode 100644
index 0000000..d141cd3
--- /dev/null
+++ b/static/yapyap/hello.png
diff --git a/static/yapyap/pid1.jpg b/static/yapyap/pid1.jpg
new file mode 100644
index 0000000..99bc1d8
--- /dev/null
+++ b/static/yapyap/pid1.jpg