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Python’s standard library is one of its greatest strengths, but many developers only scratch the surface. In this video, we explore 10 powerful and sometimes overlooked modules that can simplify your code, improve performance, and eliminate unnecessary dependencies.
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🔖 Chapters:
0:00 Intro
0:37 Dataclasses – Less Boilerplate, More Clarity
2:32 Pathlib – Modern File Paths
3:49 Functools – Caching and Higher-Order Functions
5:57 Tomllib – Parsing TOML Configs
7:00 Graphlib – Topological Sorting for Dependencies
8:06 Heapq – Dynamic Priority Queues in Action
10:04 Secrets – Cryptographically Secure Random Numbers
11:12 Shutil – High-Level File Operations
12:39 Textwrap – Formatting Text Neatly
13:29 Itertools – Powerful Iterators and Combinations
15:20 Final Thoughts
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