Running Python unit tests every time before publishing changes is difficult. Automating it through a CI pipeline help save a lot of effort. GitHub Actions does it well.
Most data scientists are comfortable with SQL than pandas data operations. But you can query pandas data frames as you do with SQL databases.
A handy Python package to save a ton of coding time and improve readability with shell-styled pipe operations
Run bash or batch files inside a Python script. Prefer subprocess method over os module.
While there are many ways to download YouTube videos, using Python is one of the easiest.
You can build installable web apps with Python web frameworks. Here’s a guide to creating one with Django.
Python has mature frameworks to build GUIs for every use case. In this guide, we recommend 5 tools and their basic applications.
Maintain clean Python code by automatically running flake8 and isort before you commit changes to git.
Deep learning has several advantages over other machine learning methods. But not always.
Here are the best practices for a manageable, scalable, and easily understandable python project structure.