This book shows how to level up from writing Python code to designing Python applications. Ronald Mak provides intuitive “before” and “after” examples of improved code, so readers can learn to plan ...

This resource includes a comprehensive lesson plan, starter activities, and exercises designed to enhance Python programming skills while exploring key computer science concepts. There are 4 lessons ...

Learn how to program by taking a trip through the world of computer science! This hands-on course will teach you the fundamentals of writing code through tackling problems from a variety of different ...

Python has become one of the most popular programming languages in data science because it combines simplicity, flexibility, and powerful analytical capabilities. Professionals use Python to collect, ...

Learn how to use asynchronous programming in Python 3.13 and higher. Get more done in less time, without the wait. NumPy is number-crunching at scale made easy. See how this staple of Python data ...

Process managers are a higher level way of sharing data between processes. They make sharing data easy and extend the whole concept of a process that Python can make use of to include processes ...

How to boost Python program performance with Zig Zig is being touted as the next big thing for C-style programming. Because Zig exposes a C-like interface, you can wrap Zig in Python and get speed and ...

Comprehensive Guide to Developing a Python Program for an A Level Computer Science NEA Project This detailed resource provides step-by-step guidance for students undertaking their A Level Computer ...

What do you think there are more of: professional computer programmers or computer users who do a little programming? It’s the second group. There are millions of so-called end-user programmers.

For decades, if you wanted to do heavy data lifting in Excel, your options were nested formulas, VBA macros, or a trip into the Power Query Editor. But with Python now accessible directly from Excel ...