“Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work.” – Al Sweigart, author of Automate the ...

Unlike typical AI tools, NotebookLM is designed to help you interact with sources you upload to notebooks. This means the best way to use NotebookLM efficiently is by populating your notebooks with ...

Microsoft Visual Studio Code is a flexible, cross-platform editor that can be transformed into a full-blown IDE for most any language or workflow. Over the past few years, it has exploded in ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

If you spend a lot of time working with numbers, you might have tried several apps and programs to process data, only to realize that Microsoft Excel is the undisputed king. There are lots of factors ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

If you’re in the field of computational fluid dynamics testing or studies, you already know how much time and effort it takes to complete the tasks involved. Hours upon hours are spent on geometry ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...