Tech

When I first started writing Python scripts that interacted with networks or files, I noticed a common bottleneck: my programs spent a lot of time just waiting.

When I first started tackling heavy computational tasks in Python—like processing large datasets or running complex simulations—I quickly ran into a wall.

When I first started writing applications that needed to handle multiple network requests, I did it the simple, synchronous way.

When you're working on a Python application, your data—whether it's user settings, application state, or the results of a long computation—exists only in memory.

When I first started coding in Python, one of the most common mistakes I made was forgetting to close files after I opened them.

It's time to become a data scientist by exploring two of the most powerful packages in the Python ecosystem: NumPy and SciPy.

Handling times, dates, and numbers can seem simple, but time zones, leap years, and different formats make it a complex challenge.

Python is an excellent language for system administration, easily replacing tools like bash and AWK for many tasks.

Network programming is an exciting field, and this guide will show you how to build an FTP client and server in Python 3.

Understanding how to effectively use functions in Python 3 is crucial for writing clean, reusable, and organized code.

Moving to Python 3 is an essential step for any modern developer.

No matter how careful you are, you will make mistakes when writing code.

Computers don't understand human languages like Python or C.

Without loops, almost any programming task would become impossibly tedious.

To a computer, everything is a number.