References:

1. Matthes, E. (2019). Python crash course: A hands-on, project-based introduction to programming (2nd ed.). No Starch Press.

2. Brown, M. C. (2018). Python: The complete reference (4th ed.). McGraw Hill Publishers.

3. Guttag, J. V. (2016). Introduction to computation and programming using Python: With applications to understanding data (2nd ed.). MIT Press.

4. McKinney, W. (2017). Python for data analysis: Data wrangling with pandas, NumPy, and IPython. Shroff/O'Reilly. 

E-resources:

1. Official Python Documentation – https://docs.python.org/3/

2. Python Tutorials – https://www.w3schools.com/python/

3. NumPy – https://numpy.org/doc/

4. SciPy – https://scipy.org/

5. Google’s Python class – https://developers.google.com/edu/python/