► 8. MATHEMATICAL FUNCTIONS | Numpy Course.

Опубликовано: 23 Апрель 2026
на канале: Сергей Дубинин
1,125
42

✅ Numpy course with problems: https://stepik.org/a/180256?utm_sourc...
✅ Telegram: https://t.me/numpy_for_you
✅ Numpy playlist:    • ► КУРС по Numpy от Дубинина Сергея  

► Pandas course with problems: https://stepik.org/a/122126?utm_sourc...
► Telegram: https://t.me/pandas_for_you
► Pandas playlist:    • ► КУРС по Pandas от Дубинина Сергея.  

⚡ Get a 10% discount for channel subscribers with promo code: NUMPY-FOR-YOU
Follow the link and enter the promo code.

► Mathematical Functions in Numpy: https://numpy.org/doc/stable/referenc...

Hello, friends. I'm pleased to welcome you to the Numpy library course.

Numpy is one of the most popular data science packages in Python. It provides a powerful set of tools for working with matrices and multidimensional objects. It allows you to effectively solve problems in various fields, such as data science, machine learning, and image analysis.

The main advantages of Numpy:
✅ High performance
✅ Flexibility
✅ Wide range of functions
✅ Integration with other packages
✅ Support for parallel computing.

In this video, you will learn how to perform mathematical operations with arrays and also get acquainted with array translation.

Timecodes:
00:00 - Introduction.
00:25 - Basic mathematical methods.
00:55 - Mathematical functions.
02:15 - Application of mathematical functions by axes.
06:15 - Examples of application of mathematical functions by axes.
11:00 - Mathematical statistics functions.
11:15 - Random number generation. The random module. Tags: #numpy #array #reshape #resize
●●●●●●●●●●●●●●●●●●●●●●
► Support the author: