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Over the past several years, Convolutional Neural Networks (CNNs) have established themselves as a state-of-the-art computer vision tool…

The very first time when I use grid paper can be dated back three years ago when I was in BCG as a PTA. I found it’s very useful to draft…

Pytest and Factory Boy make a rad combo for testing Django Applications.

Using python's pathlib module.

This article was written by Denny Britz.
In this post we will implement a simple 3-layer neural network from scratch. We won’t derive all the math that’s requi…

Python has evolved since <a href="https://github.com/pallets/flask" target="_blank">Flask</a> was first released around 8 years ago, particularly with the introduction of asyncio. Asyncio has allowed for the development of libraries such as <a href="http…

My aim here is to test my understanding of Karpathy’s great blog post “Hacker’s guide to Neural Networks” as well as of Python, to get a hang of which I rece...

Sharing our new approach to using Rust in Python.

This post is on a project exploring an audio dataset in two dimensions. I cover some interesting algorithms such as NSynth, UMAP, t-SNE…

Mobile application development on Android and iOS wasn’t Python’s strong suit in the past—but things might be changing…

Functional programming tools for the shell. Contribute to sharkdp/shell-functools development by creating an account on GitHub.

Use this link to sign up for the "Automate the Boring Stuff with Python" Udemy online course:...

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A Visual Guide to Evolution Strategies

Evolving Stable Strategies

In this Python regex tutorial, learn how to use regular expressions and the pandas library to manage large data sets during data analysis.

A visual guide to Connectionist Temporal Classification, an algorithm used to train deep neural networks in speech recognition, handwriting recognition and other sequence problems.