python-tutorials 开源项目推荐（119 个）

codebasics /py

用于存储 Python 学习示例程序的仓库

chiphuyen /python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

x4nth055 /pythoncode-tutorials

The Python Code Tutorials

bangoc123 /learn-machine-learning-in-two-months

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

areed1192 /sigma_coding_youtube

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

business-science /free-ai-tips

Free AI-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized Python AI for Business tutorials every week. Sign up here:

4GeeksAcademy /python-beginner-programming-exercises

通过这套交互式、自动评分的习题来练习 Python 编程技能。

jassics /python-for-cybersecurity

Python for cybersecurity with the basic concepts, easy to understand code examples, lab exercises, real-world examples, different security scripts covering web security, network security, defensive security, crypto examples, exploits etc...

milaan9 /91_Python_Mini_Projects

该项目在 GitHub 上没有填写描述

milaan9 /01_Python_Introduction

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。

milaan9 /07_Python_Advanced_Topics

You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

milaan9 /10_Python_Pandas_Module

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.

milaan9 /02_Python_Datatypes

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.

stephenh67 /python-resources-2019

Updated 8/8/2022 A curated list of Python 3 resources, books, websites, tutorials, code challenges

milaan9 /09_Python_NumPy_Module

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.

milaan9 /03_Python_Flow_Control

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

milaan9 /05_Python_Files

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 …

milaan9 /11_Python_Matplotlib_Module

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 …

milaan9 /08_Python_Date_Time_Module

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…

milaan9 /92_Python_Games

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.