These are the ten most rated questions at Stack Overflow last week. Between brackets: [ question score / answers count] Build date: 2018...

In this hands-on tutorial, you'll learn the basics of using pdb, Python's interactive source code debugger. Pdb is a great tool for tracking down hard-to-find bugs and allows you to fix faulty code more quickly.

A Brand-new feature in Python 3.7 is “Data Classes”. Data classes are a way of automating the generation of boiler-plate code for classes which store multiple properties.

This article explores Python modules and Python packages, two mechanisms that facilitate modular programming.

Python's pathlib module enables you to handle file and folder paths in a modern way. This built-in module provides intuitive semantics that work the same way on different operating systems. In this tutorial, you'll get to know pathlib and explore common tasks…

Serious question: do you like PEP 572—Assignment Expressions: new ':=' operator in Python 3.8? Please read the PEP before voting.

Python 2.7.15 released -- the last 2.7 release! https://t.co/3VNiKJLAYr

Pipenv is a packaging tool for Python that solves some common problems associated with the typical workflow using pip, virtualenv, and the good old requirements.txt. This guide goes over what problems Pipenv solves and how to manage your Python dependencies…

Learn what Python bytecode is, how Python uses it to execute your code, and how knowing what it does can help you.

Data classes are one of the new features of Python 3.7. With data classes you do not have to write boilerplate code to get proper initialization, representation and comparisons for your objects.

Over the last few years, Google and Coursera have regularly teamed up to launch a number of online courses for developers and IT pros. Among those was the Machine Learning Crash course, which provides developers with an introduction to machine learning. Now…

The pros and cons of each, and why you should consider Python for embedded programming.

What is Rust? Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. Featuring zero-cost abstractions move semantics guaranteed memory

Master Python's itertools module by constructing practical examples. You'll start out simple and then gradually tackle more complex challenges, encouraging you to "think iteratively."

Choose between threads and processes for your experiments

When programming for data science, most people switch between a prototype mindset and a production mindset. Learn more here.