Many a times, websites do not make their APIs public and use them privately on their webpages.
In this video, learn how to discover and explore those web APIs and use them in your Python programs. We take GeeksforGeeks IDE as an example.

Code: https://…

Removing the single point of failure from your JupyterHub infrastructure with traefik, etcd and Outreachy

How to add tests, CI, code coverage, and more

Python 3 GUI apps with asynchronous functionality

In this guide you will learn how to apply Holistically-Nested Edge Detection (HED) with OpenCV and Deep Learning. We'll then compare the results of HED with Canny edge detection.

In this article I will be describing what it means to apply an affine transformation to an image and how to do it in Python. First I will demonstrate the low le...

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A brief look at some of the plumbing behind Data Science

Many problems in machine learning deal with the idea of making two probability distributions to be as close as possible. In the simpler case where we only have observed variables $\mathbf{x}$ (say, images of cats) coming from an unknown distribution $p(\mathbf{x})$…

Let’s say that you have a Python string, and want to grab a substring from it. The best way to do so is with a “slice”: >>> s = 'abcdefghij'>>> print(s[3:8])defgh In the above code, we’ve defined a string. We’ve then asked for the string to be returned, starting…

Library to scrape and clean web pages to create massive datasets. - chiphuyen/lazynlp

A redis clone in Python 3 to disprove some falsehoods about performance. - boramalper/pydis

A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy. - spacetimeengineer/spacetimeengine

Learn how to write high-quality, readable code by using the Python style guidelines laid out in PEP 8. Following these guidelines helps you make a great impression when sharing your work with potential employers and collaborators. This course outlines the…

How to add tests, CI, code coverage, and more

Learn how to detect liveness with OpenCV, Deep Learning, and Keras. You'll learn how to detect fake faces and perform anti-face spoofing in face recognition systems with OpenCV.

Learn how to use pyenv to manage multiple Python versions, prevent conflicts, and keep your projects compatible and development smooth.