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? …

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…

3 steps (+examples) to connect to MS SQL Server, MySQL, Oracle and many other databases — With Python we can automate writing and executing SQL. But for this to work we need Python to be able to communicate with the database. In this article we’ll focus on using a package called pyodbc to communicate with relational databases using the ODBC protocol. After reading this article you’ll…

How your Python script can communicate with your Postgres database — Having Python connect to your database and exchanging information is a very basic skill but creating the actual connection might be a bit weird at first. In this article we’ll check out how to create and use a connection in an efficient an safe way. We’ll use a package called…

Understand the WITH statement with lightsabers — You are definitely familiar with context managers—they use the with statement: with open('somefile.text', 'r') as file: data = file.read() In this article we’ll focus on what happens when we call a context manager: What is a context manager? How does it work? What are its advantages? Creating your own context…

Implementing rotating file handlers — After a few weeks of logging that poor single logging file becomes pretty huge. In this short and simple article we’ll create a special file handler that writes to a file until a certain file size is exceeded. Then it stores the file and writes the logs to a new…

Printing colored messages to the console — Logging is an essential part of developing applications and lead to quick debugging and a broader understanding of what’s going on in your app. In this easy and short article we’re going to make our console logs a bit clearer by adding some color. Let’s code! Preparations We first need to…

Get your logs to where they are needed to debug your code — Including logging into your Python app is essential for knowing what your program does and quick debugging. It allows you to solve an error as quickly and easily as possible. Your program can be logging out useful information but how can it notify you when something goes wrong? We cannot…