python-tutorial

所属分类:NumPy
开发工具:Jupyter Notebook
文件大小:7216KB
下载次数:0
上传日期:2023-03-05 02:02:03
上 传 者sh-1993
说明:  Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数据科学,Flask,爬虫开发教程。 ,
(Python tutorial, a practical tutorial for Python, including Python basics, advanced Python features, object-oriented programming, multithreading, databases, data science, Flask, and crawler development tutorials,)

文件列表:
01_base (0, 2023-03-05)
01_base\01_字符串类型_str.ipynb (3835, 2023-03-05)
01_base\02_列表类型_list.ipynb (14786, 2023-03-05)
01_base\03_元组类型_tuple.ipynb (3299, 2023-03-05)
01_base\04_字典类型_dict.ipynb (15504, 2023-03-05)
01_base\05_集合类型_set.ipynb (11565, 2023-03-05)
01_base\06_条件判断_if.ipynb (3417, 2023-03-05)
01_base\07_列表推导式.ipynb (7037, 2023-03-05)
01_base\08_循环结构_loop.ipynb (4484, 2023-03-05)
01_base\09_函数和模块.ipynb (15532, 2023-03-05)
01_base\10_文件和异常.ipynb (12105, 2023-03-05)
01_base\11_线程和进程.ipynb (10120, 2023-03-05)
01_base\multi_process.py (1120, 2023-03-05)
01_base\练习 (0, 2023-03-05)
01_base\练习\九九乘法表.py (773, 2023-03-05)
01_base\练习\冒泡排序.py (331, 2023-03-05)
01_base\练习\商余问题.py (551, 2023-03-05)
01_base\练习\大数分解.py (368, 2023-03-05)
01_base\练习\平方和问题.py (156, 2023-03-05)
01_base\练习\抽奖.py (1308, 2023-03-05)
01_base\练习\数羊问题.py (844, 2023-03-05)
01_base\练习\时钟问题.py (215, 2023-03-05)
01_base\练习\查无此人-列表版.py (1120, 2023-03-05)
01_base\练习\每次抽走奇数.py (204, 2023-03-05)
02_advanced (0, 2023-03-05)
02_advanced\01_系统交互_os.ipynb (20158, 2023-03-05)
02_advanced\02_数据库_sql.ipynb (7628, 2023-03-05)
02_advanced\03_高阶函数.ipynb (12574, 2023-03-05)
02_advanced\04_迭代器与生成器.ipynb (15268, 2023-03-05)
02_advanced\05_上下文管理器.ipynb (5367, 2023-03-05)
02_advanced\06_装饰器.ipynb (13347, 2023-03-05)
02_advanced\07_面向对象编程.ipynb (19862, 2023-03-05)
02_advanced\练习 (0, 2023-03-05)
02_advanced\练习\TheStrayLibrary (0, 2023-03-05)
02_advanced\练习\TheStrayLibrary\StrayLibrary.py (150, 2023-03-05)
... ...

[![python_vesion](https://img.shields.io/badge/Python-3.5%2B-green.svg)](requirements.txt) [![License Apache 2.0](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE) [![GitHub issues](https://img.shields.io/github/issues/shibing624/python-tutorial.svg)](https://github.com/shibing624/python-tutorial/issues) [![Wechat Group](http://vlog.sfyc.ltd/wechat_everyday/wxgroup_logo.png?imageView2/0/w/60/h/20)](#Contact) # python-tutorial Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数据科学,Flask,爬虫开发教程。 在本Python教程包含了一些范例,涵盖了大多数Python日常脚本任务,是入门Python的学习资料,也可以作为工作中编写Python脚本的参考实现。 以下所有实现均在python3环境下测试。 **Guide** - [Tutorial](#python-tutorial的例子清单) - [Get Started](#get-started) - [Contact](#Contact) - [Cite](#Cite) - [Reference](#reference) # python-tutorial的例子清单 - 目录说明 | **目录** | **主题** | 简要说明 | | --------------------- | -------------------------------------------- | ---------------------------- | | [01_base](01_base) | Python基础 | 提供了数据类型、字符串、list、条件判断、循环、函数、文件、多进程的使用例子。 | | [02_advanced](02_advanced) | Python高级特性 | 提供了数据库、高阶函数、迭代器、面向对象编程的使用例子。 | | [03_data_science](03_data_science) | 数据科学 | 提供了常用数据科学库(numpy、scipy、scikit-learn、pandas)的使用例子。 | | [04_flask](04_flask) | Flask开发 | 提供了Web框架Flask的使用例子。 | | [05_spider](05_spider) | 爬虫 | 提供了网络爬虫的实现例子。| | [06_tool](06_tool) | 实用工具 | 提供了常用的实用工具,包括参数解析、日志工具等例子。| - Notebook教程说明 | Notebook | Description | | |:----------|:-------------|------:| | [01_base/01_字符串类型_str.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/01_字符串类型_str.ipynb) | Python字符串类型 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/01_字符串类型_str.ipynb) | | [01_base/02_列表类型_list.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/02_列表类型_list.ipynb) | Python列表类型 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/02_列表类型_list.ipynb) | | [01_base/03_元组类型_tuple.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/03_元组类型_tuple.ipynb) | Python元组 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/03_元组类型_tuple.ipynb) | | [01_base/04_字典类型_dict.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/04_字典类型_dict.ipynb) | Python字典 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/04_字典类型_dict.ipynb) | | [01_base/05_集合类型_set.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/05_集合类型_set.ipynb) | Python集合 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/05_集合类型_set.ipynb) | | [01_base/06_条件判断_if.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/06_条件判断_if.ipynb) | Python条件判断 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/06_条件判断_if.ipynb) | | [01_base/07_列表推导式.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/07_列表推导式.ipynb) | Python列表推导式 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/07_列表推导式.ipynb) | | [01_base/08_循环结构_loop.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/08_循环结构_loop.ipynb) | Python循环 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/08_循环结构_loop.ipynb) | | [01_base/09_函数和模块.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/09_函数和模块.ipynb) | Python函数 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/09_函数和模块.ipynb) | | [01_base/10_文件和异常.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/10_文件和异常.ipynb) | Python文件和异常 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/10_文件和异常.ipynb) | | [01_base/11_线程和进程.ipynb](https://github.com/shibing624/python-tutorial/blob/master/01_base/11_线程和进程.ipynb) | Python多线程和多进程 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/11_线程和进程.ipynb) | | [02_advanced/01_系统交互_os.ipynb](https://github.com/shibing624/python-tutorial/blob/master/02_advanced/01_系统交互_os.ipynb) | Python系统交互操作 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/02_advanced/01_系统交互_os.ipynb) | | [02_advanced/02_数据库_sql.ipynb](https://github.com/shibing624/python-tutorial/blob/master/02_advanced/02_数据库_sql.ipynb) | Python操作mysql数据库 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/02_advanced/02_数据库_sql.ipynb) | | [02_advanced/03_高阶函数.ipynb](https://github.com/shibing624/python-tutorial/blob/master/02_advanced/03_高阶函数.ipynb) | map、filter、lambda高阶函数 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/02_advanced/03_高阶函数.ipynb) | | [02_advanced/04_迭代器与生成器.ipynb](https://github.com/shibing624/python-tutorial/blob/master/02_advanced/04_迭代器与生成器.ipynb) | 迭代器和yield生成器 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/02_advanced/04_迭代器与生成器.ipynb) | | [02_advanced/05_上下文管理器.ipynb](https://github.com/shibing624/python-tutorial/blob/master/02_advanced/05_上下文管理器.ipynb) | with语句 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/02_advanced/05_上下文管理器.ipynb) | | [02_advanced/06_装饰器.ipynb](https://github.com/shibing624/python-tutorial/blob/master/02_advanced/06_装饰器.ipynb) | Decorator装饰器 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/02_advanced/06_装饰器.ipynb) | | [02_advanced/07_面向对象编程.ipynb](https://github.com/shibing624/python-tutorial/blob/master/02_advanced/07_面向对象编程.ipynb) | Python类 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/02_advanced/07_面向对象编程.ipynb) | | [03_data_science/01_Numpy数组.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/01_Numpy数组.ipynb) | Numpy array数组 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/01_Numpy数组.ipynb) | | [03_data_science/02_Numpy索引.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/02_Numpy索引.ipynb) | Numpy index索引 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/02_Numpy索引.ipynb) | | [03_data_science/03_Numpy方法.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/03_Numpy方法.ipynb) | Numpy 方法 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/03_Numpy方法.ipynb) | | [03_data_science/04_Matpoltlib画图.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/04_Matpoltlib画图.ipynb) | Matpoltlib画图 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/04_Matpoltlib画图.ipynb) | | [03_data_science/05_SciPy统计分布.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/05_SciPy统计分布.ipynb) | Scipy统计分布 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/05_SciPy统计分布.ipynb) | | [03_data_science/06_SciPy曲线拟合.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/06_SciPy曲线拟合.ipynb) | Scipy曲线 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/06_SciPy曲线拟合.ipynb) | | [03_data_science/07_Pandas数据类型.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/07_Pandas数据类型.ipynb) | Pandas数据类型 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/07_Pandas数据类型.ipynb) | | [03_data_science/08_Pandas数据操作.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/08_Pandas数据操作.ipynb) | Pandas操作 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/08_Pandas数据操作.ipynb) | | [03_data_science/09_Scikit-Learn分类.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/09_Scikit-Learn分类.ipynb) | Scikit-Learn数据分类 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/09_Scikit-Learn分类.ipynb) | | [03_data_science/10_Scikit-Learn聚类.ipynb](https://github.com/shibing624/python-tutorial/blob/master/03_data_science/10_Scikit-Learn聚类.ipynb) | Scikit-Learn聚类 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/03_data_science/10_Scikit-Learn聚类.ipynb) | | [04_flask/01_Flask介绍.md](https://github.com/shibing624/python-tutorial/blob/master/04_flask/01_Flask介绍.md) | Flask介绍 | | | [04_flask/02_Flask模板.md](https://github.com/shibing624/python-tutorial/blob/master/04_flask/02_Flask模板.md) | Flask模板 | | | [04_flask/03_静态文件.md](https://github.com/shibing624/python-tutorial/blob/master/04_flask/03_静态文件.md) | Flask静态文件 | | | [04_flask/04_数据库.md](https://github.com/shibing624/python-tutorial/blob/master/04_flask/04_数据库.md) | Flask数据库 | | | [04_flask/05_模板优化.md](https://github.com/shibing624/python-tutorial/blob/master/04_flask/05_模板优化.md) | Flask模板优化 | | | [04_flask/06_表单.md](https://github.com/shibing624/python-tutorial/blob/master/04_flask/06_表单.md) | Flask表单 | | | [04_flask/07_用户认证.md](https://github.com/shibing624/python-tutorial/blob/master/04_flask/07_用户认证.md) | 用户认证 | | | [04_flask/08_Flask应用watchlist](https://github.com/shibing624/python-tutorial/blob/master/04_flask/watchlist) | Flask应用示例watchlist | | | [05_spider/01_爬虫介绍.ipynb](https://github.com/shibing624/python-tutorial/blob/master/05_spider/01_爬虫介绍.ipynb) | Python网络爬虫介绍 |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/05_spider/01_爬虫介绍.ipynb) | | [05_spider/02_网页解析和存储.ipynb](https://github.com/shibing624/python-tutorial/blob/master/05_spider/02_网页解析和存储.ipynb) | 网页工具requests、lxml、BeautifulSoup、Selenium |[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/05_spider/02_网页解析和存储.ipynb) | | [06_tool/argparse_demo.py](https://github.com/shibing624/python-tutorial/blob/master/06_tool/argparse_demo.py) | Python参数解析 | | | [06_tool/profiler工具.md](https://github.com/shibing624/python-tutorial/blob/master/06_tool/profiler工具.md) | Python性能监测工具 | | | [06_tool/logger.py](https://github.com/shibing624/python-tutorial/blob/master/06_tool/logger.py) | Python日志 | | | [06_tool/send_email.py](https://github.com/shibing624/python-tutorial/blob/master/06_tool/send_email.py) | Python发邮件 | | # Get Started 教程代码大多数为Notebook书写(文件后缀.ipynb),如下所示: ![notebook](./docs/imgs/readme_img.png) - 使用Colab学习教程: 点击各教程的[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/shibing624/python-tutorial/blob/master/01_base/01_字符串类型_str.ipynb)即可在Google Colab打开Notebook并运行。 - 使用Jupyter Notebook学习教程: 1. 下载Python:建议使用Anaconda,Python环境和包一键装好,[Python3.7 版本](https://www.anaconda.com/products/individual) 2. 下载本项目:可以使用`git clone`,或者下载zip文件,解压到电脑 3. 打开Jupyter Notebook:打开终端,`cd`到本项目所在的文件夹,执行:```jupyter notebook ```,浏览器打开`01_base/01_字符串类型.ipynb`,跟随介绍交互使用 # Contact - Issue(建议):[![GitHub issues](https://img.shields.io/github/issues/shibing624/python-tutorial.svg)](https://github.com/shibing624/python-tutorial/issues) - 邮件我:xuming: xuming624@qq.com - 微信我:加我*微信号:xuming624*,进Python-NLP交流群,备注:*姓名-公司名-NLP* # Citation 如果你在研究中使用了python-tutorial,请按如下格式引用: ```latex @misc{python-tutorial, title={python-tutorial: Python3 Tutorial for Beginners}, author={Ming Xu}, howpublished={https://github.com/shibing624/python-tutorial}, year={2021} } ``` # License 授权协议为 [The Apache License 2.0](/LICENSE),可免费用做商业用途。请在产品说明中附加python-tutorial的链接和授权协议。 # Contribute 项目代码还很粗糙,如果大家对代码有所改进,欢迎提交回本项目,在提交之前,注意以下两点: - 在本地进行单元测试 - 确保所有单测都是通过的 之后即可提交PR。 # Reference 1. [廖雪峰Python3教程](https://www.liaoxuefeng.com/wiki/1016959663602400) 2. [PythonDataScienceHandbook](https://github.com/jakevdp/PythonDataScienceHandbook) 3. [Python4DataScience.CH](https://github.com/catalystfrank/Python4DataScience.CH) 4. [Python-100-Days](https://github.com/jackfrued/Python-100-Days) 5. [flask-tutorial](https://github.com/greyli/flask-tutorial)

近期下载者

相关文件


收藏者