Ipython

General

• One should format his notebook names like this (date)-(developer)-(2-word-desc)
• IPython Notebook best practices for data science](https://www.youtube.com/watch?v=JI1HWUAyJHE
• Make Jupyter/IPython Notebook even more magical with cell magic extensions https://www.youtube.com/watch?v=zxkdO07L29Q)

User interaction

• https://github.com/ipython/ipywidgets

Analytics

• create pivottables on dataframe using https://github.com/nicolaskruchten/pivottable
• Declarative statistical visualization library for Python using https://github.com/altair-viz/altair
• Convert the data to dataframe and use excel like features on the data using https://github.com/quantopian/qgrid

notebook enhancement And tools

• adding more power into notebooks https://github.com/ipython-contrib/jupyter_contrib_nbextensions
• make ipython notebook into slides using https://www.youtube.com/watch?v=sZBKruEh0jI
• Turn a GitHub repo into a collection of interactive notebooks using http://mybinder.org/

Profiling

• timing every ipyhthon cell using https://github.com/cpcloud/ipython-autotime
• profiling ipython notebook cell https://github.com/jiffyclub/snakeviz

Aquiring Data

• aquire data from db supported by sqlalchemy using https://github.com/catherinedevlin/ipython-sql
• aquire data from neo4j using https://github.com/versae/ipython-cypher
• aquire data from website using https://github.com/Psycojoker/ipython-beautifulsoup
• aquire data from salesforce using https://github.com/eyaltrabelsi/salesforce_magic

Snippets

• Print DataFrame from notebook using https://gist.github.com/eyaltrabelsi/6bca1cdcf574e16681daf91aa2da0529.pibb
• how to write class which is represented nicely in notebook using https://gist.github.com/eyaltrabelsi/79ea4b212f02386f0c32ab90856684b9.pibb