Python 3零基础完全入门与提高 from Udemy

大家好，欢迎大家学习Python3零基础完全入门课程。我是这门课程的讲师肖鹏，作为一名Cisco的网络开发工程师，我对Python的开发有10年的经验，热爱分享，2009-2014年，我在新浪博客“麦兜搞IT”上发表了150篇Python Blog，总阅读人数超过了100万人次。2015年，我的第一本译著《Python3面向对象编程》出版。今天，我把我的经验在Udemy上分享给大家，希望能给大家带来一些帮助，也欢迎大家和我交流，一起学习进步。

Python 是一个高层次的结合了解释性、编译性、互动性和面向对象的脚本语言。

Python 的设计具有很强的可读性，相比其他语言经常使用英文关键字，其他语言的一些标点符号，它具有比其他语言更有特色语法结构。

Python 是一个高层次的结合了解释性、编译性、互动性和面向对象的脚本语言。

Python 的设计具有很强的可读性，相比其他语言经常使用英文关键字，其他语言的一些标点符号，它具有比其他语言更有特色语法结构。

Python 是一种解释型语言：这意味着开发过程中没有了编译这个环节。类似于PHP和Perl语言。
Python 是交互式语言：这意味着，您可以在一个Python提示符，直接互动执行写你的程序。
Python 是面向对象语言: 这意味着Python支持面向对象的风格或代码封装在对象的编程技术。
Python 是初学者的语言：Python 对初级程序员而言，是一种伟大的语言，它支持广泛的应用程序开发，从简单的文字处理到 WWW 浏览器再到游戏。

本课程，让我们一起从零开始学习Python，认识Python。

•第一章课程介绍和开发环境搭建

•第二章基本数据类型

•第三章列表和元组

•第四章字典和集合

•第五章条件语句和循环语句

•第六章函数第七章面向对象基础

第八章模块和包

第九章输入输出和文件

第十章函数式编程

第十一章异常和处理

第十二章调试和测试

第十三章 Logging日志

第十四章 Collection模块

第十五章深入认识class和object

第十六章深入理解python的Namespace

What's inside

Syllabus

Introduction

课程源码和注意事项

视频播放器设置

课程的PPT下载

关于Python版本的介绍和选择

Python的下载和安装

Pycharm的安装配置和基本使用

大家如果感兴趣的话可以看一下。

必看！不用安装任何软件，随时随地学Python

(Optional可选) Windows环境下使用VS Code作为Python 开发环境

基本数据类型

Python的基本语法

整数和浮点数

關於Python number的幾個問題

字符串及其基本操作

字符串格式化

Python Strings

布尔值和空值

Python的整数和浮点数练习

列表和元组

列表的创建和访问

延伸阅读：为什么列表List元素从后往前访问时index是从-1开始的？

列表的基本操作

元组的创建和访问

Questions about Python list

元组的基本操作

列表和元组的对比

列表和元组练习1

字典和集合

字典的创建和访问

字典的基本操作

python dictionary

集合的创建和访问

集合的基本操作

条件语句和循环语句

if条件语句

請判斷True or False

while循环

for循环

break和continue

练习

Python Control Structures

函数

函数的定义和调用

命名空间和范围

可变参数*args

可变参数**wargs

参数默认值

递归的实现

面向对象

类和对象的基本概念

私有属性和受保护属性

类的property怎么用

继承和多态

type和isinstance的使用

类属性和实例属性

类方法和实例方法

关于类方法和实例方法的补充

模块和包

什么是模块

什么是包

sys.path的用处

Python的内置模块

第三方模块和包

关于import语句

关于虚拟环境

if __name__ == "__main__"

关于pypi

附加内容：使用VS Code作为Python的开发IDE

输入输出和文件

input和print

文件的写操作

文件的读取

内置模块os

https://docs.python.org/3/library/pathlib.html

读写二进制文件

序列化Python对象

函数式编程

高阶函数

lambda匿名函数

列表解析

高阶函数map和reduce

高阶函数filter

装饰器

带参数的装饰器

完善装饰器

异常和处理

什么是异常

try-except处理异常

用户自定义异常

assert, else和finally

大家通过实验，自己学习认识在try-except语句中如何正确的使用return

调试和测试

通过print调试

通过pdb来debug

Pycharm的debug模式

测试之doc test

什么是单元测试

单元测试的写法演示

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Peng Xiao, who are recognized for their work in Python

Develops skills used in web dev, data science, and AI

Teaches foundational material on Python syntax

Covers intermediate material, such as object oriented programming

Uses examples to illustrate how to use tools

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python 3零基础完全入门与提高 with these activities:

Python Programming: An Introduction to Computer Science

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Provides a strong foundation in Python programming concepts, which will be essential for success in this course.

View Python Programming: An Introduction to Computer... on Amazon

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Read Chapters 1-3 to gain an understanding of the basics of Python programming.
Work through the exercises at the end of each chapter to reinforce your understanding.
Complete the practice problems at the end of each chapter to test your knowledge.

Follow Python Tutorials on Real Python

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Complements the course material by providing additional resources and perspectives on Python concepts.

Browse courses on Python

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Identify topics in the course that you want to reinforce or expand your knowledge on.
Search for related tutorials on Real Python.
Follow the tutorials step-by-step and experiment with the code examples.

Join a Python Study Group

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Provides opportunities to engage with fellow learners, ask questions, and share insights, enhancing your understanding of the course material.

Browse courses on Python

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Find or create a Python study group with other students who are enrolled in the same or similar courses.
Meet regularly to discuss course topics, work on assignments, and prepare for exams.
Share resources, knowledge, and tips with other group members to collectively improve understanding.

Five other activities

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Solve Python Coding Problems on LeetCode

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Develops problem-solving and coding skills essential for success in this course.

Browse courses on Python

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Identify easy-difficulty problems on LeetCode related to Python concepts covered in the course.
Attempt to solve the problems independently.
Review solutions and explanations to reinforce your understanding.

Attend a Python Workshop

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Provides a focused and immersive environment to learn advanced Python techniques and concepts that complement the course material.

Browse courses on Python

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Identify Python workshops offered by local universities, bootcamps, or online platforms.
Attend a workshop that aligns with your interests and learning goals.
Actively participate in the workshop, ask questions, and network with other participants.

Build a Simple Python Project

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Provides hands-on experience in applying Python concepts and solidifies your understanding.

Browse courses on Python

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Identify a simple project idea that aligns with your interests and the course concepts.
Plan and design the project, including the functionality and user interface.
Implement the project using Python, following best practices and design principles.
Test and debug your project to ensure it meets the desired requirements.

Participate in a Python Coding Competition

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Tests your Python skills, encourages problem-solving, and provides motivation to expand your knowledge.

Browse courses on Python

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Find Python coding competitions online or in your local area.
Register for a competition and prepare by practicing Python problems and reviewing course material.
Participate in the competition and try to solve as many problems as possible.

Become a Python Mentor

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Reinforces your understanding of Python concepts by explaining them to others and solidifies your knowledge.

Browse courses on Python

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Identify opportunities to mentor other students or beginners interested in learning Python.
Share your knowledge, answer questions, and provide guidance to help others in their Python journey.
Reflect on your own understanding of Python as you explain concepts to others.

Career center

Learners who complete Python 3零基础完全入门与提高 will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst takes raw data, transforms it so that it is easier to analyze, and then extracts insights from it to help businesses make better decisions. For example, they might use their skills to analyze customer data and identify trends that can help a company improve its marketing campaigns.

See salaries and explore the career path for Data Analyst

Software Engineer

A Software Engineer is a generalist who works as part of a team to design, develop, test and implement software solutions. They may also be responsible for the maintenance and support of software systems.

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Data Scientist

A Data Scientist builds predictive models, develops algorithms, and designs machine learning solutions. They need to have a strong understanding of math and statistics.

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Machine Learning Engineer

A Machine Learning Engineer is responsible for developing, deploying, and maintaining machine learning models. They work closely with data scientists to ensure that models are accurate and aligned with business needs.

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Web Developer

A Web Developer is responsible for the design and development of websites. They work closely with designers to create websites that are visually appealing and user-friendly.

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Business Analyst

A Business Analyst is responsible for understanding the business needs of an organization and translating those needs into technical requirements. They work closely with stakeholders to gather requirements and ensure that software solutions meet the needs of the business.

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Data Engineer

A Data Engineer is responsible for the design, development, and maintenance of data pipelines. They work closely with data scientists to ensure that data is clean, accessible, and ready for analysis.

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Full-Stack Developer

A Full Stack Developer is capable of working on both the front-end and back-end of a website or application. They have a strong understanding of both web development and computer science.

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Project Manager

A Project Manager is responsible for planning, executing, and closing projects. They work closely with stakeholders to ensure that projects are completed on time and within budget.

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Systems Engineer

A Systems Engineer is responsible for the design, development, and maintenance of computer systems. They work closely with other engineers to ensure that systems are reliable and efficient.

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Network Engineer

A Network Engineer is responsible for the design, development, and maintenance of computer networks. They work closely with other engineers to ensure that networks are reliable and secure.

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Database Administrator

A Database Administrator is responsible for the design, development, and maintenance of databases. They work closely with other engineers to ensure that databases are reliable and efficient.

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Technical Writer

A Technical Writer is responsible for writing technical documentation, such as user manuals, white papers, and training materials. They work closely with engineers and other subject matter experts to ensure that documentation is accurate and easy to understand.

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Technical Support Engineer

A Technical Support Engineer is responsible for providing technical support to users of software or hardware. They work closely with customers to troubleshoot problems and provide solutions.

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Quality Assurance Engineer

A Quality Assurance Engineer is responsible for testing software to ensure that it meets quality standards. They work closely with developers to identify and fix bugs.

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