Nicolas Fränkel

In my previous post Evolving your APIs, I mention the main API versioning approaches. During the talk of the same name, I sometimes get some questions on the subject. In this post, I’ll detail each of them. I assume readers know the reasons behind versioning, semantic versioning, and product lifecycle. If not, I encourage you to read a bit about these themes; in particular, chapter 24 of the excellent API Design Patterns book focuses on them. I’ll summarize the subject in a few wo

I got plenty of feedback on my post about Calling Rust from Python: Hacker News/r/python/r/rust Many comments mentioned pyo3, and I should use it instead of cooking my own. Thanks to the authors, I checked: in this post, I explain what it is and how I migrated my code. What is pyo3? Rust bindings for Python, including tools for creating native Python extension modules. Running and interacting with Python code from a Rust binary is also supported. — PyO3 user guide Indeed, pyo3

Let’s continue our exploration of Python’s magic methods in this second part of the series. This part will focus on numbers and containers, i.e., collections. You can read the first part here. Container-related methods Python provides the usual containers, e.g., lists, sets, and dictionaries. You can use the following methods when you want to implement your own. Common methods Containers have a size. Python defines two methods to implement to return the number of items in a con

Java was the first language I used professionally and is the scale by which I measure other languages I learned afterward. It’s an OOP statically-typed language. Hence, Python feels a bit weird because of its dynamic typing approach. For example, Object offers methods equals(), hashCode(), and toString(). Because all other classes inherit from Object, directly or indirectly, all objects have these methods by definition. Conversely, Python was not initially built on OOP principles and is

I recently watched GOTO conferences' talk Calling Functions Across Languages by Richard Feldman. I’m afraid I have to disagree with using the term 'language' in this context. It’s a no-brainer to call Java from Kotlin or Scala or to call Java from Kotlin. Hence, in the rest, I’ll use 'stack'. In the talk, the speaker cites two main reasons to go on this road: Gradual migration from one stack to the otherUsing a library that has no equivalent in one’s stack under the ass

As a web architect, one of the many issues is asset management. And the most significant issue in assets is images. A naive approach would be to set an image and let the browser resize the image via CSS: img { height: 100%; width: 100%; object-fit: contain; } However, it means that you download the original image. It entails two problems: the size of the original image and the suboptimal browser-based resizing. This post will cover two alternatives: traditional and brand-new s

My demo, Evolving your APIs, features a custom Apache APISIX plugin. I believe that the process of creating a custom plugin is relatively well-documented. However, I wanted to check the parameters of the _M.access(conf, ctx) function, especially the ctx one. The documentation states: The ctx parameter caches data information related to the request. You can use core.log.warn(core.json.encode(ctx, true)) to output it to error.log for viewing. Unfortunately, core.log ultimately depends on

The JVM is an excellent platform for monkey-patching. Monkey patching is a technique used to dynamically update the behavior of a piece of code at run-time. A monkey patch (also spelled monkey-patch, MonkeyPatch) is a way to extend or modify the runtime code of dynamic languages (e.g. Smalltalk, JavaScript, Objective-C, Ruby, Perl, Python, Groovy, etc.) without altering the original source code. — Wikipedia I want to demo several approaches for monkey-patching in Java in this post

Regular readers of this blog know that I started it a long time ago, namely in April 2008. I soon found my cruising speed: a post a week. It requires time and discipline, but I achieved this goal during all those years. However, while I still have enough of both, I start to miss good post ideas. There are several reasons for this. I’ve always told that working on real-world projects is a vast source of ideas. Moving to Developer Advocacy, I’ve widened the list of topics I’m fa