Every Django project may encounter a steady increase in a number of migrations over time. One way to lower their quantity is to use squashing. Squashing amounts to taking contents of few migrations...

One suboptimal database query can effectively paralyse whole application. Tracking down such bottleneck is one thing but speeding it up is not a trivial task. This article is intended to show how o...

Protocols are asyncio's primitives supplied as convenient base classes to quickly set up clients or servers using TCP/UDP (+ subprocesses). These are especially helpful when we need to implement lo...

Let's roll with something practical, namely a simple chat application using Sanic framework mentioned in previous post. Sanic supports websockets out of the box thanks to the websockets library. It...

Few days ago while I was reading fullstackpython.com I came across new pythonic micro web framework based on asyncio - Sanic. Coolest thing about Sanic is that it leverages asyncio providing better...

All examples were tested under Python 3.6. The only asyncio rule After reading part 1 you should already know, that a heart of asyncio is an event loop. There is exactly one rule - do not block the...

Concurrency was not seriously taken into account in Python when it was designed. Until 3.4 version, there were two options: threading multiprocessing Although these two modules provided programme...

On 23. December 2016 new minor version of Python was released - 3.6. It brings few enhancements and syntax features. In my opinion the most notable one is introduction of formatted string literals....

Celery is a widely recognized distributed task queue for pythonic projects. Its sole purpose is to reduce load of web servers by delegating time-consuming tasks to separate processes. Our web serve...