I've been working on data science projects quite a bit lately, and figured I'd share my notes and make some short tutorials on the most important and helpful library in Python for data science. So, here I'm. :)
Hopefully it's helpful for you!
- http://pandas.pydata.org/pandas-docs/stable/10min.html
- https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python
- http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/
- https://www.dataquest.io/blog/pandas-python-tutorial/
- https://drive.google.com/file/d/0ByIrJAE4KMTtTUtiVExiUGVkRkE/view
- https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y
- https://seaborn.pydata.org/
- https://www.datacamp.com/community/tutorials/seaborn-python-tutorial
P.S. Feel free to drop any suggestions/comments at pradeepsingh7890@live.com. You can find me at pradeepsingh.xyz OR LinedkIn
