Transfer learning is a powerful technique for training deep neural networks that allows one to take knowledge learned about one deep learning problem and apply...

What Softmax is, how it's used, and how to implement it in Python.

To speed-up memory operations and reduce fragmentation Python uses a special manager on top of the general-purpose allocator, called PyMalloc.

Here we will learn how to make scatter plots, adding trend lines, text, rotating the labels, changing color, and markers, among other things.

Data Visualization can be a great tool for mathematical exploration and experimentation. In this article, I show you an example using Matplotlib and Python.

Learn how to write a python script to create a quadtree based filter for stylizing photos

This blog post is an introduction into unit testing in Django. It offers an explanation on what are faker and factories and code examples illustrating them.

Creating a organized work environment when starting out with data science

In this detailed Python tutorial, you'll explore the CPython source code. By following this step-by-step walkthrough, you'll take a deep dive into how the CPython compiler works and how your Python code gets executed.

Introduction
Functions should have only a single entry point. We all agree on that. But some
people also argue that functions should have a single exit that returns the
value. More people don't seem t

In this step-by-step course, you'll learn about Python lambda functions. You'll see how they compare with regular functions and how you can use them in accordance with best practices.

Have you ever needed to mock out a third party service for use in a large testing environment? I recently did, and I used Starlette, a new async Python web framework, to do it. See what Starlette offers!

Reed Hastings (CEO, Netflix) sold $15M of his shares 2 days before a class action lawsuit hit the company and the stock crashed

In this step-by-step tutorial, you'll learn how to handle spreadsheets in Python using the openpyxl package. You'll learn how to manipulate Excel spreadsheets, extract information from spreadsheets, create simple or more complex spreadsheets, including adding…

Use SMOTE and the Python package, imbalanced-learn, to bring harmony to an imbalanced dataset.