Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

There's a lot of people out there who "aren't math people," but they just might be computer science people Language aptitude explained almost 20% of the difference in how quickly people learned Python ...

There’s lots to do in this edition of the Python Report: Do more than one thing with Python’s async. Do the math faster in Python with NumPy. Do Python in Visual Studio Code, and do it the ...

The introduction of graphics processing units (GPUs) for general-purpose computing is perhaps the most important recent development for computing, and if you want to develop some new Python skills ...

This paper proposes a systematic approach to organizing these theorems using SymPy, a symbolic mathematics library in Python, and develops an innovative Python module that leverages SymPy. It covers ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in ...

Modern languages, including Java and Python, implement this requirement in the form of an import statement. This forms the backbone of all modern enterprise code. However, in Python, there is a danger ...

And there are reasons to believe that this decline will become more pronounced in the next few years, particularly in the world of Python. Developed by Google, TensorFlow might have been one of ...