学习Python的基础知识。这些教程是为Python初学者准备的。所以即使你没有Python基础,理解这些教程也不会有困难。
python-introduction 开源项目推荐(32 个)
python-introduction 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 32 个仓库Python Tutorial - learn Python from scratch with 270+ Python tutorials for beginners & experienced. Explore Python features, syntax, python applications, python use-cases, python architecture, python projects and many more.
Python for students in humanities, NRU HSE, 2018-2019
This article is a step-by-step guide to assembling and publishing a small, open-source Python package; topics covered include directory structure, basic unit tests, basic continuous integration setup, and publication to a repository.
IT employee management application. The project uses almost all the knowledge from the 2 semesters of the bootcamp introducing to Python programming. Project done independently. I only helped myself with the OFFICIAL PYTHON 3.12.6 DOCUMENTATION.
An application that simulates the future of the PlayStation PS store for gamers. The application was written in Python
Python's built-in libraries include powerful tools for retrieving and operating over abstract syntax trees. This article provides an overview of how to use these features to analyze and transform Python code programmatically.
Python Basic to Core
In this repo, there are lecture notes of Global AI Hub - Python Training.
该项目在 GitHub 上没有填写描述
Solutions to the practice exercises, coding challenges, and other problems on HackerRank! www.hackerrank.com
Native syntactic support for type annotations was introduced in Python 3. This article provides an overview of this feature, reviews how it can be used to document information about expressions and functions in a structured way, and illustrates some of the advantages of leveraging it for applicable use cases.
Multiprocessing can be an effective way to speed up a time-consuming workflow via parallelization. This article illustrates how multiprocessing can be utilized in a concise way when implementing MapReduce-like workflows.
A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.
Both built-in and user-defined data structures in Python can be either mutable or immutable. This article explains why Python makes this distinction for built-in data structures and reviews some use cases within which you may want to define an immutable data structure of your own.
While built-in string methods and regular expressions have limitations, they can be leveraged in creative ways to implement scalable workflows that process and analyze text data. This article explores these tools and introduces a few useful peripheral techniques within the context of a use case involving a large text data corpus.
🐍 Kurze Einführung zu Python für die Vorlesung Nonlinear Optimization (Universität Mannheim, FSS 2020)
This repository contains a collection of Python exercises I've completed for the first part of a course on Data Science and Artifical Intelligence ('Diplomatura en Ciencias de Datos e Inteligencia Artificial' de la Universidad de San Martín)
Python comprehensions are a powerful language feature that can greatly improve the productivity of a programmer and the readability of code. This article explores how comprehensions can be used to build concise solutions for problems that require generating various kinds of combinations of all the elements from a finite (or infinite) set.
Voluntering course.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/python-introduction。
- 该话题在 GitHub 上共有 32 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 503 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。