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.