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.

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

Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the Python’s libraries that…

This article describes two classic design patterns: Abstract Factory and Strategy, with the clear real-life examples. It also includes Python code examples which implement these patterns and links to the coding challenges that will help to consolidate the…

What does Python 3.7 bring to the table? Learn about some of the biggest changes and see you how you can best make use of them.

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A guide to all the Magic Methods in Python