Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

The core value of functions lies in encapsulating repetitive computational logic into independent modules, achieving ...

Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast. That's about to change in Python 3.11, ...

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...

In Python, a SyntaxError happens when the interpreter finds code that does not conform to the rules of the Python language.

Written in Rust, the PyApp utility wraps up Python programs into self-contained click-to-run executables. It might be the easiest Python packager yet. Every developer knows how hard it is to ...

Available as both an IDA plugin and a Python script, Nimfilt helps to reverse engineer binaries compiled with the Nim programming language compiler by demangling package and function names, and ...