Hello! Welcome to the 27th session of the Python Master Course. In the previous Lesson 26, we learned about generators and lazy evaluation. This time, it's decorators. "I want to measure the execution ...

This package provides a Python decorator to save on disk and reuse the results of functions that are long to execute. This can be referred to as persistent memoization. The result of a decorated ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...

Did you know it’s now possible to build blockchain applications, known also as decentralized applications (or “dApps” for short) in native Python? Blockchain development has traditionally required ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

sbedecoder is a simple python package for parsing SBE encoded data. sbedecoder dynamically generates an SBE parser from an xml description of the format. This is accomplished by creating an instance ...