Data Analysis using Python
Data Analysis using Python and Pandas
Scope
- Using notebooks for data analysis pipeline
- Introduction to pandas
- Loading data
- Using it like Excel
- Plotting data using pandas, matplotlib, and seaborn.
- Presenting the results.
Dependencies
- Python >3.5 - using Anaconda
- Jupyter notebook - comes in anaconda package
- pandas, matplotlib, numpy, seaborn - comes in anaconda package
- pandas-datareader
Install using conda install pandas-datareader seaborn
Documentation
- Pandas: http://pandas.pydata.org/pandas-docs/stable/index.html
- Seaborn: http://seaborn.pydata.org/index.html
Useful resources:
- Official pandas introduction: http://pandas.pydata.org/pandas-docs/version/0.19.2/10min.html
- Detailed intro to pandas: http://nbviewer.jupyter.org/gist/TomAugspurger/2457b5debf072ac0318d3d14e63145d5
- Lots of exercises to practice pandas: https://github.com/guipsamora/pandas_exercises