Assume MyClass._dangerous(self) is a private method. We could have implemented the same functionality without a private method as follows:

• Define a class InnerClass with the same __init__ as MyClass
• Define InnerClass.dangerous(self) with the same logic of MyClass._dangerous
• Make MyClass into a wrapper class over InnerClass …

We would like Twisted to support contextvars -- this would allow cross-async libraries, like eliot to do fancy things.

Klein is almost ready to be used as-is. Glyph has the good branch which adds

• CSRF protection
• Forms
• Sessions
• Authentication

But it is too big, and we need to break it to …

We started out the conversation with talking about writing good Dockerfiles. There is no list of "best practices" yet. Hynek reiterated for us "ship applications, not build environments". Moshe summarized it as "don't put gcc in the deployed image."

We discussed a little bit what we are trying to achieve …

Announcment: My book, from python import better, has been published. This post is based on one of the chapters from it.

When Python started out, one of the oft-touted benefits was "batteries included!". Gone were the days of searching for which XML parsing library was the best -- just use the …

(Thanks to Glyph Lefkowitz for some of the inspiration for this port, and to Mahmoud Hashemi for helpful comments and suggestions. All mistakes and issues that remain are mine alone.)

The Python REPL has always been touted as one of Python's greatest strengths. With Jupyter, Jupyter Lab in its latest …

(Thanks to Paul Ganssle for his suggestions and improvements. All mistakes that remain are mine.)

When exposing a Python program as a command-line application, there are several ways to get the Python code to run. The oldest way, and the one people usually learn in tutorials, is to run python …

In today's edition of Pi day post, we will imagine we have a pie. (If you lack imagination, go out and get a pie.) (Even if you do not lack imagination, go out and get a pie.)

As is traditional, we got a round pie. Since pies are important, we …

I have written before about Python tooling. However, as all software, things have changed -- and I wanted to write a new post, with my current understanding of best practices.

Jupyter is a tool that came out of the data science community. In science, being able to replicate experiments is of the utmost importance -- so a tool where you can "show your work" is helpful. However, being able to show your work -- have colleagues validate what you have done, repeat …

Ten tricks to level up your Python.