MultiTasking is a lightweight Python library that lets you convert your Python methods into asynchronous, non-blocking methods simply by using a decorator. Perfect for I/O-bound tasks, API calls, web ...

A practical roadmap for data science beginners, covering fundamentals, key libraries, projects, and advanced skills. It focuses on real-world learning, avoiding common mistakes, and building job-ready ...

In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

当写 Python 程序时，经常会遇到一种场景：一个函数本身的逻辑很简单，但在它执行前后，需要附加一些额外的功能。比如打印日志、计算耗时、做权限校验、添加缓存。如果没有装饰器，往往只能在函数里手动加上这些重复的代码，不仅冗余，而且破坏了函数 ...

An MCP Server is a simple program that lets AI models securely access data and tools using the Model Context Protocol (MCP). FastMCP is a Python framework that helps you build MCP servers and clients.

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 ...

A superset of Python that compiles to C, Cython combines the ease of Python with the speed of native code. Here's a quick guide to making the most of Cython in your Python programs. Python has a ...