Picture this: you spend hours developing the math for a problem you are trying to solve; you write code; your code works; you feel great; you share the code with your colleagues; and your dependencies don’t work.

How many times have we heard (or said) “ but it works on my laptop! ”? I'm going to take a wild guess and assume more than once. Even if you wrote the code, a couple of months later the project that worked perfectly last time you ran it might now fail on import. You install the missing package, and something else breaks. You update a library for a new project, only to discover that an older project depends on the previous version.

Suddenly, you’re debugging your Python installation instead of solving the problem you originally sat down to solve. Environment problems take far more time than programmers care to admit.

Python’s flexibility makes it easy to install libraries and start experimenting.…