Learn how to use Cython, Numba, or PyPy to speed up your Python code for performance tuning; compare the benefits and drawbacks of these tools and techniques.

One way to speed up your Python programs is to write modules in the Zig language and use them in your Python code. Here's how to get started.

C is one of the fastest running programming language among all, you can easily write and compile C in Linux, Windows, and macOS.

Discover when compiling Python code is beneficial for enhancing speed without compromising on the ease of development.

Give your Python applications a rocket boost—here's everything you need to know to get started with Cython and its Python-to-C compiler.

Write your code into code.txt (which contains a sample program) and run compiler.py with Python 3. The resulting datapack will be put into the same directory as compiler.py.

How to compile a regex in Python? // plain Compiling a regular expression in Python is a process of converting a regular expression pattern into a regular expression object. This object can be used ...

The Cython compiler is the most widely used static compiler for Python. The code it generates is used in countless critical applications that process huge amounts of data world wide. Cython has two ...

Python developers push for Python-built applications running on mobile devices, but big obstacles remain.