In Python, virtual environments are used to isolate projects from each other (if they require different versions of the same library, for example). They let you install and manage packages without administrative privileges, and without conflicting with the system package manager. They also allow to quickly create an environment somewhere else with the same dependencies.

Virtual environments are a crucial tool for any Python developer. And at that, a very simple tool to work with.

Pipenv is a Python packaging tool that does one thing reasonably well — application dependency management. However, it is also plagued by issues, limitations and a break-neck development process. In the past, Pipenv’s promotional material was highly misleading as to its purpose and backers.

In this post, I will explore the problems with Pipenv. Was it really recommended by Can everyone — or at least, the vast majority of people — benefit from it?

I used up 0.99 GB out of my 1 GB allowance. So, I had to buy some more. My (former) operator, Orange, sells a 1GB package for an ultra-low price (not really) of 15 PLN. (You can get the same package for less money, even half of that price, with other carriers.)

How to turn that on? You can send a text message or call a robot. I’ll give them a call then.

Gynvael Coldwind is a security researcher at Google, who hosts weekly livestreams about security and programming in Polish and English). As part of the streams, he gives out missions — basically, CTF-style reverse engineering tasks. Yesterday’s mission was about Elvish — I mean Paint — I mean Python programming and bytecode.

Setting up Python is usually simple, but there are some places where newcomers (and experienced users) need to be careful. What versions are there? What’s the difference between Python, CPython, Anaconda, PyPy? Those and many other questions may stump new developers, or people wanting to use Python.