Posts

  • Execute a function until a specific value is returned

    I had barely no idea that the iter function could do that in Python. You can call it with two arguments, a function and a stop value, and have your function being executed until the stop value is returned. It can have some interesting usages, as shown in the article. I would not use it all over the place because it looks like a bit dark magic but still a nice tool to keep in mind.

  • 8 versions of UUID and when to use them

    I’m used to UUID v4 to generates random globally unique IDs whenever I need it in places where I can not benefit from a database with an auto numbering column. Actually, this is just the tree hiding the forest of UUIDs. This great article list the 8 versions of UUID and explain what they are about and when to use them.

  • 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).

  • 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.

  • 10 Python programming optimisation techniques.

    In this article, the author provide some interesting techniques for optimising Python code, in particular, memory consumption for cases where memory is critical or resources are limited. I would personally not apply all those techniques by default and reserve them for specific use cases, preferring readability in a first place. Still, those techniques are interesting to have in mind.

  • 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.

  • 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.

  • Testing Python code integration with an Azure Eventhub

    On one of my project I needed to create a simple API allowing clients to publish some messages into an Azure EventHub. Because authentication is ensured by a JWT we could not rely on our clients to directly publish messages to the Eventhub (and by the way I prefer abstracting this away through a HTTP API).

  • Debugger doesn't stop at breakpoints with pytest if pytest-cov is used

    Recently, while trying to debug some of my pytest tests using VSCode, I discovered that my breakpoints were completely ignored and the tests never stopped. After nearly breaking my keyboard in frustration, I stumbled upon this GitHub issue.

  • 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.

  • One way to fix Python circular imports

    I’ve already encountered issues regarding circular imports, most of the time it was related to typings only (two modules referencing types from each others) and is easily resolved using a if TYPE_CHECKING: block. For other cases I try my best to shape my modules in a way that it does not require circular imports. In the following article I discovered another way to overcome circular imports that I could not have think about simply by defering imported names lookup.

  • The first software jobs AI will replace are...

    An interesting short video of Dave Farley, interviewing Birgitta Böckeler, and discussing which software related jobs A.I may replace first. The interesting point is that both have a different opinion, what is your?

  • Software needs to be more expensive

    In this article the author make an interesting statement: most companies actively use open source code for free to create products for making profit. Read this article to discover why this should change and how.

  • Don't use Python's property (for bad reasons)

    I recently stumbled upon a code from one of my coworker who is rather new to Python. He is coming from a Java/Scala background and used python’s property decorator to mimic Java Getters/Setters. Let’s see why you should not do this.

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