jd:/dev/blog

Many Python developers are unaware of the extent to which you can use functional programming in Python, which is a shame: with few exceptions, functional programming allows you to write more concise and efficient code.

A few months ago, we've seen how to write a filtering syntax tree in Python.

When writing Python applications, caching is important.

Logging is one of the most underrated features.

Today I'm glad to announce that my new book, Serious Python, has been released.

I don't write a lot about database management.

A few weeks ago, Tobias Macey contacted me as he wanted to talk about Gnocchi, the time series database I've been working on for the last few years.

A while ago, we've seen how to write a simple filtering syntax tree with Python.

In the last blog post about coding style, we dissected what the state of the art was regarding coding style check in Python.

The more you use computers, the more you see the potentials for automating everything.

After starting your first Python project, you might realize that it is actually not that obvious to be consistent with the way you write Python code.

Whatever your programs are doing, they often have to deal with vast amounts of data.

This new release minor release of Gnocchi has been a bit longer than usual, but here it is!

There's a gap between learning the syntax of the Python programming language and being able to build a project from scratch.

It's been a while since I moved all my projects to GitHub.

If there's something that I hate, it's doing things manually when I know I could automate them.

Working on various pieces of software those last years, I noticed that there's always a feature that requires implementing some DSL.

I've recently been using Cloudflare as an HTTP frontend for some applications, and getting things working correctly with WSGI was unobvious.

This post is the second and final episode of Lessons from OpenStack Telemetry.

It was mostly around that time in 2012 that I and a couple of fellow open-source enthusiasts started working on Ceilometer, the first piece of software from the OpenStack Telemetry project.

A few weeks ago, one of my followers, Morteza, reached out and asked me the following: I develop projects mostly with Python, but I am scared that Python is not a good choice for enterprise projects.

Software speed is relative.

I've started my first Web page in 1998 and one could say that it evolved quite a bit in the meantime.

This article is the final one of the series I wrote about scaling a large number of connections in a Python application.

This article is a follow-up of my previous blog post about scaling a large number of connections.

The time of the release arrived.

A few weeks ago, Alon contacted me and asked me the following: It so happened that I'm currently working on scaling some Python app.

When the Gnocchi project decided to move to GitHub, we developers had to move from a Gerrit based workflow to a GitHub pull-request one.

I am proud to announce today the immediate release of Scaling Python, my second book about Python!

The release date for Scaling Python is now very close!

A few months ago, my friend Dimitri Fontaine and I discussed writing books and sharing our knowledge.

We did it again.

A few days ago, I've recently been contacted by Godson Rapture from Cool Python codes to answer a few questions about what I work on in open source.

It has been a long time since I have tested Gnocchi performances.

The French edition of the annual Python conference, PyCon FR, will happen in Toulouse from 21st to 24th September.

The realm of time series database keeps expanding those last years.

I've recently started to look into Docker to build images ready to be used with Gnocchi in it.

After more than 10 years of writing Python, there's something I always have been annoyed with: logging.

Finally!

I've always been frustrated by the GitHub workflow.

The first OpenStack Summit of 2017 was last week, in Boston, MA, USA.

Three years have passed since I started working on Gnocchi.

A couple of years ago, I wrote about the Python retrying library.

As I wrote a few weeks ago in my post about Gnocchi 3.1 being released, one of the new feature available in this version it the S3 driver.

Knowing that collectd is a daemon that collects system and applications metrics and that Gnocchi is a scalable timeseries database, it sounds like a good idea to combine them together.

Last week-end, I was in Brussels, Belgium for the 2017 edition of the FOSDEM, one of the greatest open source developer conference.

It's always difficult to know when to release, and we really wanted to do it earlier.

My day-to-day activities are still evolving around the Python programming language, as I continue working on the OpenStack project as part of my job at Red Hat.

Packaging Python has been a painful experience for long.

For the last time in 2016, I flew out to the OpenStack Summit in Barcelona, where I had the chance to meet (again) a lot of my fellow OpenStack contributors there.