In the previous tutorial in this series, you learned how to perform sophisticated pattern matching using regular expressions, or regexes, in Python. This tutorial explores more regex tools and techniques that are available in Python.

In this tutorial, we'll be reading and writing Excel files in Python with Pandas, including examples of using DataFrames and file handling.

News and announcements from the Python community for the week of Jun 5th, 2020

This tutorial is about running a Docker container with your dev box being the "host" machine, and setting you up for further development by ensuring you're able to debug code on that machine.

In this tutorial, you'll learn how to work with Python dictionaries to help you process data more efficiently. You'll learn how to create dictionaries, access their keys and values, update dictionaries, and more.

Quickly add Stripe to accept payments on a Django/Python website.

Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework. Follow our step-by-step tutorial with code examples today!

The article explains why you should use more enums in Python and what Python provides to you.

4 different ways to check for internet connectivity

By Goran Aviani I recently got myself a “new” laptop – a Lenovo x270 (yay)! And once again I needed to set up a Python virtual environment. So of course I Googled for a solution, just to find my previously written article on the same topic! So in thi...

In this article we’re going to learn how to recognize the text from a picture using Python and orc.space API. OCR (Optical character recognition) is the process by which the computer recognizes the text from an image. ocr.space is an OCR engine that offers…

In this tutorial, we'll be going over examples and practical usage of the any() and all() convenience functions in Python.

Python keywords are the fundamental building blocks of any Python program. In this tutorial, you'll learn the basic syntax and usage of each of Python's thirty-five keywords and four soft keywords so you can write more efficient and readable code.

Debugging Python out-of-memory crashes can be tricky. Learn how the Fil memory profiler can help you find where your memory use is happening.

This article details how to make Celery work nicely with Django Database Transactions.

In this tutorial, you'll learn about views and copies in NumPy and pandas. You'll see why the SettingWithCopyWarning occurs in pandas and how to properly write code that avoids it.

In this tutorial, we'll learn how to compute the mean, median, and mode in Python from scratch and with the Python statistics module.