Список рекомендованных источников
1. Лутц М. Изучаем Python. – 5-е изд. – СПб.: Питер, 2020.
2. Downey A. Think Python: How to Think Like a Computer Scientist. – 2nd ed. – O’Reilly Media, 2015.
3. VanderPlas J. Python Data Science Handbook. – O’Reilly Media, 2016.
4. McKinney W. Python for Data Analysis. – 3rd ed. – O’Reilly Media, 2022.
5. Harris C. R. et al. Array programming with NumPy // Nature. – 2020. – Vol. 585. – P. 357–362.
6. The Pandas Development Team. Pandas Documentation. – https://pandas.pydata.org/
7. The NumPy Developers. NumPy Documentation. – https://numpy.org/
8. Matplotlib Development Team. Matplotlib Documentation. – https://matplotlib.org/
9. Python Software Foundation. Python 3 Documentation. – https://docs.python.org/3/
10. Friedl J. Mastering Regular Expressions. – 3rd ed. – O’Reilly Media, 2006.