One of the main appeals of using Python’s asyncio is being able to fire off many coroutines and run them concurrently. How many ways do you know for waiting for their results?

Some projects have the policy that all tests must have an explanatory comment – including all of mine. At first, I found that baffling. If that’s you right now, this article is for you.

GitHub’s own CI called GitHub Actions has been out of closed beta for a while and offers generous free quotas and a seamless integration with the rest of the site. Let’s have a look at how to use it for an open source Python package.

I’m missing a key part from the public Python discourse and I would like to help to change that.

Since this topic keeps coming up, I’d like to briefly share my thoughts on Python package metadata because it’s – as always – more complex than it seems.

People always ask for book recommendations, so here’s my list of books that changed my life in one way or another. None of them is related to tech or programming, but all affect how I think and work.

Since the acquisition of Travis CI, the future of their free offering is unclear. Azure Pipelines has a generous free tier, but the examples I found are discouragingly complex and take advantage of features like templating that most projects don’t need. To close that gap, this article shows you how to move a Python project with simple CI needs from Travis CI to Azure Pipelines.

There are many good reasons to not go to every talk possible when attending conferences. However increasingly it became hip to boast about avoiding going to talks – encouraging others to follow suit. As a speaker, that rubs me the wrong way and I’ll try to explain why.

We have more ways to manage dependencies in Python applications than ever. But how do they fare in production? Unfortunately this topic turned out to be quite polarizing and was at the center of a lot of heated debates. This is my attempt at an opinionated review through a DevOps lens.

Most Python programmers don’t spend a lot of time thinking about how equality and hashing works. It usually just works. However there’s quite a bit of gotchas and edge cases that can lead to subtle and frustrating bugs once one starts to customize their behavior – especially if the rules on how they interact aren’t understood.

Proper cleanup when terminating your application isn’t less important when it’s running inside of a Docker container. Although it only comes down to making sure signals reach your application and handling them, there’s a bunch of things that can go wrong.

I’ve seen quite a bit of the world thanks to being invited to speak at conferences. Since some people are under the impression that serial conference speakers possess some special talents, I’d like to demystify my process by walking you through my latest talk from start to finish.

The Python standard library is full of underappreciated gems. One of them allows for simple and elegant function dispatching based on argument types. This makes it perfect for serialization of arbitrary objects – for example to JSON in web APIs and structured logs.

If your Python decorator unintentionally changes the signatures of my callables or doesn’t work with class methods, it’s broken and should be fixed. Sadly most decorators are broken because the web is full of bad advice.

My completely anecdotal view on the state of Python 3 in 2016. Based on my own recent experience, observations, and exchanges with other members of the Python community.

Don’t use Python’s hasattr() unless you’re writing Python 3-only code and understand how it works.

Why “Use bcrypt.” is not the best recommendation (anymore).

How to ensure that your tests run code that you think they are running, and how to measure your coverage over multiple tox runs (in parallel!).

Setting up Python to the point to be able install packages from PyPI can be annoying and time-intensive. Even worse are OS-provided installations that start throwing cryptic error messages. Especially desktops are prone to that but it’s possible to break the whole toolchain of a server by installing some shiny package you heard about on reddit.

Apple ships a patched version of OpenSSL with macOS. If no precautions are taken, their changes rob you of the power to choose your trusted CAs, and break the semantics of a callback that can be used for custom checks and verifications in client software.

A completely incomplete guide to packaging a Python module and sharing it with the world on PyPI.

Google killed its Reader and my beloved Reeder for Mac and iPad officially won’t get updated in time. I think to have found an adequate setup to replace both.

In web development, we have a unfortunate double meaning for the word models and as obvious as the separation of those two seems to seasoned developers, it shows again and again that it’s not as obvious to beginners.

This one falls under: “I knew there has to be an easy way!”

Speed, reproducibility, easy rollbacks, and predictability is what we strive for when deploying our diverse Python applications. And that’s what we achieved by leveraging virtual environments and Linux system packages.

I never did a retrospective but 2011 deserves one.

There is this common notion, that asynchronous IO is hard and that writing a custom connection pool is even harder. The nice thing however is, that in reality asynchronous IO is just “weird” in the beginning – and that a connection pool using async IO is so simple it hurts.

After switching to the Mac, I had one big itch that spoiled all the bliss: MacVim sometimes simply refused to cooperate with the system clipboard. As you can imagine, an editor that can’t exchange text with other software is a rather painful thing.

So you want quick offline access to your mails using mutt to fully exploit your SSD and yet still have everything nicely working in Google’s web interface? Additionally, you would like to have access to your Google Contacts just like in your phone and everywhere else? I’ll show you how!

There’s one thing hackers are opinionated about as about the right editor: The right color scheme.

Mostly a note to myself as I forget it regularly.

I’d thought something like this is a FAQ but the database docs on postgres don’t write a bit about forcing Django to connect using SSL to the database server.

There are few people that influenced me more than Tim Ferris. He was the one who gave me the last nudge to the low carb diet and he was also the one from whom I learned about the “Information Diet”.

It took me a while to figure it out, so I decided to share.

After a few months of use my Kindle started to freeze randomly. At first I blamed the cold as it happened to be winter in that moment. Fortunately, it turned out to be something different.

The perception of LDAP (Lightweight Directory Access Protocol) is ambivalent. On the one hand, it is widely supported as a common authentication backend. On the other hand, there’s very little and poor documentation that is mostly targeted towards a special case (e.g. replacing NIS by LDAP).

Sounds harder than it is – especially when reading the official docs. But if you want to synchronize two DBs, just tell the “master” to write a log and slave to read it.

While developing a network sniffer I had to find a way to write pcap logs. However the docs I found were rather fragmented. I try to do a short roundup here. In fact, the format is pretty plain and it’s a pity that there seems not to be a quick’n’easy doc for it.