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Exploring data efficiently with pandas
MP #33: Reimplementing an older project with modern tools.
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The importance of profiling
MP #32: NumPy to the rescue!
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You don't need to remember everything
MP #31: You'll remember what you use most often, and you can (usually) look up the rest.
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A small set of special integers
MP #30: An interesting optimization in the CPython interpreter.
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Settings that change, and settings that don't change
MP #29: Understanding subtle behaviors with "shared" objects.
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Grounding yourself as a programmer in the AI era, part 6
MP #28: Reflections on the impact of AI on programming and programmers.
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Grounding yourself as a programmer in the AI era, part 5
MP #27: Packaging a project and making it available on PyPI
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Grounding yourself as a programmer in the AI era, part 4
MP #26: Refactoring a small project, with AI assistance.
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The value of "small" contributions
MP #25: In appreciation of first-time open source contributors.
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Grounding yourself as a programmer in the AI era, part 3
MP #24: Refactoring a small project, without AI assistance.
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Grounding yourself as a programmer in the AI era, part 2
MP #23: Building a small utility program without AI assistance
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Grounding yourself as a programmer in the AI era
MP #22: Guiding questions for making sense of AI's impact on programmers and programming.
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Python Lists: A closer look, part 11
MP #21: Copying lists, and some final takeaways
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Python Lists: A closer look, part 10
MP #20: Two final list gotchas.
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Improving code blocks in Substack newsletters
MP #19: Using Python to prototype a different approach.
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Yes, you should still learn to code*
MP #18: Even with the new generations of AI tools that are coming out.