There are over 5,000 libraries in Python, but today we're going to use a real-world project to discover the 22 most commonly used libraries for solving a real office problem. Let's see if you know what each one does.
Video Sections:
0:00 Introduction
0:07 NumPy
0:31 Pandas
0:53 Matplotlib
1:11 Seaborn
1:28 SciPy
1:48 RPY
2:19 Requests
2:40 Beautiful Soup
2:57 Scrapy
3:21 Selenium
3:53 Scikit-learn
4:14 TensorFlow
4:27 PyTorch
4:50 Keras
5:08 OpenCV
5:29 NLTK
5:54 Django
6:12 Flask
6:26 FastAPI
6:41 Asyncio
7:06 SQLite
7:20 Kivy
7:33 Pygame
7:53 Pyglet
8:09 Conclusion
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