5 files changed, 8 insertions, 8 deletions

diff --git a/src/experiments/encoding-binary-data-into-dna-sequence.md b/src/experiments/encoding-binary-data-into-dna-sequence.md
index cdff15f..bfcf710 100644
--- a/src/experiments/encoding-binary-data-into-dna-sequence.md
+++ b/src/experiments/encoding-binary-data-into-dna-sequence.md
@@ -1,7 +1,7 @@
 title: Encoding binary data into DNA sequence
 description: Imagine a world where you could go outside and take a leaf from a tree and put it through your personal DNA sequencer and get data like music, videos or computer programs from it
 date: 2019-01-03
-tags: experiment
+type: post
 hide: false
 ----
 
diff --git a/src/experiments/profiling-python-web-applications-with-visual-tools.md b/src/experiments/profiling-python-web-applications-with-visual-tools.md
index 58d85bf..cf7164c 100644
--- a/src/experiments/profiling-python-web-applications-with-visual-tools.md
+++ b/src/experiments/profiling-python-web-applications-with-visual-tools.md
@@ -1,7 +1,7 @@
 title: Profiling Python web applications with visual tools
 description: Missing link when debugging and profiling python web application
 date: 2017-04-21
-tags: experiment
+type: post
 hide: false
 ----
 
@@ -16,7 +16,7 @@ Before we begin there are some requirements. We will need to:
 
 If you are using MacOS you should check out [Profiling Viewer](http://www.profilingviewer.com/) or [MacCallGrind](http://www.maccallgrind.com/).
 
-![KCachegrind](/files/kcachegrind.png)
+![KCachegrind](/files/python-profiling/kcachegrind.png)
 
 We will be dividing this post into two main categories:
 
@@ -135,7 +135,7 @@ $ pyprof2calltree -i awesome_random_number.prof
 
 This file can be opened with visualizing tools listed above. In this case we will be using Profilling Viewer under MacOS. You can open image in new tab. As you can see from this example there is hierarchy of execution order  of your code.
 
-![Profilling Viewer](/files/profiling-viewer.png)
+![Profilling Viewer](/files/python-profiling/profiling-viewer.png)
 
 > Make sure you  convert output of the cProfile output every time you want to refresh and take a look at your possible optimizations because cProfile updates .prof  file every time browser hits the function.
 
@@ -158,7 +158,7 @@ $ snakeviz awesome_random_number.prof
 # shows visualized profile
 ```
 
-![SnakeViz](/files/snakeviz.png)
+![SnakeViz](/files/python-profiling/snakeviz.png)
 
 Reddit user [ccharles](https://www.reddit.com/user/ccharles) suggested a better way for installing pip software by targeting user level instead of using sudo.
 
diff --git a/src/experiments/simple-iot-application.md b/src/experiments/simple-iot-application.md
index 1543e52..c7f59cf 100644
--- a/src/experiments/simple-iot-application.md
+++ b/src/experiments/simple-iot-application.md
@@ -1,7 +1,7 @@
 title: Simple IOT application supported by real-time monitoring and data history
 description: Develop simple IOT application with Arduino MKR1000 and Python
 date: 2017-08-11
-tags: experiment
+type: post
 hide: false
 ----
 
diff --git a/src/experiments/using-digitalocean-spaces-object-storage-with-fuse.md b/src/experiments/using-digitalocean-spaces-object-storage-with-fuse.md
index ab0079f..1d3fe48 100644
--- a/src/experiments/using-digitalocean-spaces-object-storage-with-fuse.md
+++ b/src/experiments/using-digitalocean-spaces-object-storage-with-fuse.md
@@ -1,7 +1,7 @@
 title: Using DigitalOcean Spaces Object Storage with FUSE
 description: Using DigitalOcean Spaces Object Storage with FUSE
 date: 2018-01-16
-tags: experiment
+type: post
 hide: false
 ----
 
diff --git a/src/experiments/using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md b/src/experiments/using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md
index 1f9d400..ad0362b 100644
--- a/src/experiments/using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md
+++ b/src/experiments/using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md
@@ -1,7 +1,7 @@
 title: Using sentiment analysis for click‑bait detection in RSS feeds
 description: Using Python with sentiment analysis to detect if titles in RSS feeds are click-bait
 date: 2019-10-19
-tags: experiment
+type: post
 hide: false
 ----