Perfect for (unexperienced) developers who just need a complete, working, fast and secure API — You have a great python program that you want to make available to the world. With FastAPI you can speedily create a superfast API that’ll allow you to make your Python code available for other users. In this article we’re going to create an API in 5 lines of code…

A deep dive into Python virtual environments, pip and avoiding entangled dependencies — If you work on a lot of different projects then you’ll recognize the dependency-hell of multiple projects requiring multiple versions, of multiple packages. You can’t just install all packages globally, how do you keep track? Also what happens when projectA needs PackageX_version1 and ProjectB needs PackageX_version2? How do you stay…

Manage your infrastructure in the same ways you manage your applications — Docker is a fantastic tool that makes our lives much easier offering us standardization, productivity, efficiency, maintainability and compatibility of our code. It allows us to continuously and rapidly deploy and test our code and it is platform-independent. If you are unsure of what Docker is, what to use it…

Speed up your program by doing multiple things simultaneously — When your program has a lot of tasks that involve waiting you can speed up your program by executing those tasks simultaneously instead of one by one. When making breakfast you don’t wait for the coffee machine to finish before cooking an egg. Instead you flick on the coffee maker…

Learn how to detect motion, process and analyze images by coding your own security camera — Analyzing and mining images and video streams for data can be extremely useful for many cases. In this article we’ll focus on a very basic technique: detecting motion in streams so that we can isolate the moving things and apply further analysis and/or detection. The goal is to learn how…

Clean up your code by creating your own custom exceptions — There’s a big difference between exceptions and errors; exceptions are deliberate while errors are unexpected. This article focusses on creating your own exceptiosn and how using them cleans up your code, resulting in a less error-prone program, a better flow and faster debugging. Let’s code! The dirty way To demonstrate how the custom…

With this ORM you can create a table, insert, read, delete and update data without writing a single line of SQL — There are numerous advantages to using SQLAlchemy’s ORM over executing raw SQL. In this article we’ll demonstrate the basics of using the ORM. After reading this article you’ll be able to create tables, insert, select, update, and delete data. Understanding the ORM will save you many errors and a lot…

Creating a database engine and execute SQL from Python — SqlAlchemy is a simple and quick way to allow Python to work with data from databases. It’s very simple to create a connection to your database with an engine. In addition its very easy to query your database and retrieve data with the engine and ORM. In this article we’ll…

Register cleanup functions that run after your script ends or errors — In this article I’ll show you how to register functions that execute when your program exits with python’s built-in module atexit. This means that you can run code after your code exits (due to an error of when it’s finished), providing you with all kinds of essential tools to execute…