Tutorial: Python NumPy For Data Science

This tutorial dives into the core features of NumPy that every data scientist should know. You'll learn how to create and manipulate arrays, perform vectorized operations, understand broadcasting, and apply essential functions for data analysis and wrangling. NumPy is a powerful and widely-used library with a vast ecosystem, and this video focuses on the tools and techniques most relevant for practical data science work. Whether you're working with numerical data, cleaning datasets, or optimizing performance, these NumPy fundamentals will help streamline your workflow and build a strong analytical foundation.

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For the full course, you can go here if you like:

https://www.udemy.com/course/python-numpy-for-data-science/?referralCode=AB85DA9C4099E79FAD9E

Видео Tutorial: Python NumPy For Data Science канала Quantitative Sciences