Chaos Engineering Toolkit & Orchestration for Developers - chaostoolkit/chaostoolkit

Search the best feature subset for you classification mode - renatoosousa/GeneticAlgorithmForFeatureSelection

Automatic question generation by using NLP. Contribute to indrajithi/genquest development by creating an account on GitHub.

cinembers - Generating numbers from movies, one movie at a time.

In this three-part tutorial series, you'll create a RESTful API from scratch to keep track of people and notes using the Flask web framework. You'll also test your API with Swagger UI API documentation. In part one, you'll build the foundation of your note…

Learn the basics of Kafka and write a sample distributed application in Python.

ReportLab is the primary toolkit that I use for generating PDFs from scratch. However, I have found that there is another one called fpdf2. The fpdf2 package is actually a port of the “Free”-PDF package that was written in PHP. Note: PyFPDF is now dead. This…

If you use Python, there's a good chance you have heard of IPython, which provides an enhanced read-eval-print
loop (REPL) for Python. But there is more to IPython than just a more
convenient REPL. Today's IPython comes with integrated libraries that turn…

Awesome to have you here. Let's code. 🖥️ 🎧 Learn how to create a video game AI using a convolutional neural network to play Google's Dinosaur run and other v...

Choose between threads and processes for your experiments

The following is a step-by-step walkthrough of how to set up a basic CRUD app with Vue and Flask.

Advancing your skills is an important part of being a data scientist. When starting out, you mostly focus on learning a programming language, proper use

Master Python's itertools module by building practical examples with batched(), pairwise(), groupby(), and more, and learn to think iteratively.

Computational photography is about enhancing the photographic process with computation. While we normally tend to think that this applies only to post-processing the end result (similar to photo editing), the possibilities are much richer since computation…

From matrix factorization to deep learning

We’re going to create a simple cryptocoin price ticker page using Django 2.0, Celery, Redis and Channels. You don’t need experience with…

Let’s start with time series: they're everywhere. From stock markets, to weekly company sales, to speech recognition. But what are they?

At the PyCon 2018 conference, I presented a tutorial called "Using pandas for Better (and Worse) Data Science". Through a series of exercises, I demonstrated best practices with pandas to help students become more fluent at using pandas to answer data science…