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python4beginner 开源项目推荐(20 个)
python4beginner 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。
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GitHub 共 20 个仓库,已全部展示学习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。
The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your own.
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here …
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …
Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and dateti…
该项目在 GitHub 上没有填写描述
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
Python could learn most effectively by using practice examples. The repository includes examples of fundamental Python ideas. It is encouraged you use the examples as references and test the concepts on your own.
Non-Safe Keylogger which is able to control itself without being touched
Based off of lessons from Dr. Chuck Severance's Py4e course on Coursera. Repo will be updated as I progress through the specialization.
该项目在 GitHub 上没有填写描述
Fast, customizable terminal directory tree viewer with ignore patterns and depth control. See files and directories at a glance in any project.
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/python4beginner。
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- 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 4010 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
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