Other articles


  1. On the importance of naming in programming

    I heard about the importance of naming in programming a couple years ago while reading Uncle Bob's Clean Code book. But I found this article to provide interesting examples as well as some nice tips on how to help you actually naming things. It also emphasis on the fact that names heavily depends on context and can actually highlight "bad code" in some ways.

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  2. Modern good practices for Python development

    I should definitively write my own set of guidelines and practices for Python development. For the moment you can already find some in this article. I agree with most of the practices outlined expect maybe using TOML for configuration files (I prefer relying on environment variables and .env files). I would also recommend to opt for typer instead of argparse for more complex CLIs. Finally I would suggest using tools like uv or pdm to manage your project (packaging, dependencies, virtual environment).

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  3. Practices of reliable software design

    In the following article, the author discuss some interesting practices, not only tied to coding, for building and designing reliable softwares. There is one I particularly emphasis with is the Make testing easy which, in my opinion, is the cornerstone of good software design which is way too much overlooked in a lot of projects and companies.

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  4. Python packaging is great now, uv is all you need

    To facilitate managing my Python projects managing and packaging I'm using PDM. This tool is really great and has lot of very nice features that will really simplify your life for building either applications or libraries. Lastly the guys from Astral (creators of ruff) made lot of improvement to their own similar tool, uv. In this article, Juan Luis Cano Rodríguez quickly explain why uv is a serious contender in the Python project managing/packaging game.

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  5. Integrating Problem Details RFC with FastAPI

    During my past development projects, I built a lot of HTTP APIs using various langages (TypeScript, JavaScript, Python) and frameworks (fastify, FastAPI, flask, express). One thing I've noticed is that each of those frameworks have their own way of shaping HTTP error responses. This is actually not a big deal considering that most clients (i.e: HTTP clients) do not really rely on strict structure for such errors.

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  6. Three Laws of Software Complexity

    Lot of people think that building new softwares is complex. Actually, maintaining software is a lot more difficult than that. Just as for our universe, the entropy of all ours systems tend to increase more and more over time and thus, its complexity. This is where lies the challenge of our developers/ingeneers job.

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