Data science learning path on python

Basic

1. NumPy - NumPy is the fundamental package for scientific computing with Python
2. pandas - pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
3. matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms
4. seaborn - Statistical data visualization using matplotlib

Further

1. Statsmodels - Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
2. scikit-learn - Machine Learning in Python
3. theano - Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently

Practice

• kaggle

Resources

• https://github.com/shenwei356/awesome/blob/master/python.md
• awesome-python