Python | Mosh的python入门视频教程

Mosh的python入门视频教程

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Mosh Hamedani

主讲人Mosh Hamedani，是一位软件工程师，拥有20年的专业经验，拥有软件工程理学学士学位和网络系统理学硕士学位。

Mosh Hamedani，有一个自建的编程教学网站：
http://codewithmosh.com

其中教程：Complete Python Mastery

Part1- Getting Started (32m)

• 1- What is Python (3:21)

• 2- Installing Python (1:52)

• 3- Python Interpreter (1:55)

• 4- Code Editors (1:19)

• 5- Your First Python Program (3:36)

• 6- Python Extension (2:52)

• 7- Linting Python Code (4:14)

• 8- Formatting Python Code (3:54)

• 9- Running Python Code (2:59)

• 10- Python Implementations (2:28)

• 11- How Python Code is Executed (2:46)

• 12- Quiz (1:37)

Part2- Primitive Types (34m)

• 1- Variables (3:04)

• 2- Variable Names (3:02)

• 3- Strings (5:30)

• 4- Escape Sequences (2:40)

• 5- Formatted Strings (2:08)

• 6- String Methods (5:54)

• 7- Numbers (2:46)

• 8- Working with Numbers (2:09)

• 9- Type Conversion (5:04)

• 10- Quiz (2:43)

Part3- Control Flow (37m)

• 1- Comparison Operators (2:04)

• 2- Conditional Statements (4:09)

• 3- Ternary Operator (2:09)

• 4- Logical Operators (4:02)

• 5- Short-circuit Evaluation (2:06)

• 6- Chaining Comparison Operators (1:22)

• 7- Quiz (1:43)

• 8- For Loops (3:38)

• 9- For..Else (2:46)

• 10- Nested Loops (2:44)

• 11- Iterables (3:08)

• 12- While Loops (4:59)

• 13- Infinite Loops (1:37)

• 14- Exercise (2:05)

Part4- Functions (41m)

• 1- Defining Functions (2:24)

• 2- Arguments (2:20)

• 3- Types of Functions (4:02)

• 4- Keyword Arguments (2:00)

• 5- Default Arguments (1:35)

• 6- xargs (4:15)

• 7- xxargs (2:20)

• 8- Scope (5:09)

• 9- Debugging (6:50)

• 10- VSCode Coding Tricks - Windows (2:21)

• 11- VSCode Coding Tricks - Mac (1:49)

• 12- Exercise (1:29)

• 13- Solution (4:41)

• A Quick Note

Part5- Data Structures (1h20m)

• 1- Lists (3:54)

• 2- Accessing Items (3:13)

• 3- List Unpacking (3:51)

• 4- Looping over Lists (2:54)

• 5- Adding or Removing Items (2:56)

• 6- Finding Items (1:28)

• 7- Sorting Lists (4:35)

• 8- Lambda Functions (1:49)

• 9- Map Function (3:25)

• 10- Filter Function (2:05)

• 11- List Comprehensions (3:10)

• 12- Zip Function (1:49)

• 13- Stacks (4:24)

• 14- Queues (2:50)

• 15- Tuples (4:02)

• 16- Swapping Variables (2:37)

• 17- Arrays (3:11)

• 18- Sets (4:03)

• 19- Dictionaries (5:24)

• 20- Dictionary Comprehensions (3:19)

• 21- Generator Expressions (3:51)

• 22- Unpacking Operator (4:05)

• 23- Exercise (6:21)

Part6- Exceptions (20m)

• 1- Exceptions (2:16)

• 2- Handling Exceptions (4:10)

• 3- Handling Different Exceptions (3:05)

• 4- Cleaning Up (1:57)

• 5- The With Statement (3:07)

• 6- Raising Exceptions (3:21)

• 7- Cost of Raising Exceptions (4:41)

Part7- Classes (1h25m)

• 1- Classes (2:35)

• 2- Creating Classes (3:45)

• 3- Constructors (4:37)

• 4- Class vs Instance Attributes (3:58)

• 5- Class vs Instance Methods (4:05)

• 6- Magic Methods (3:13)

• 7- Comparing Objects (3:11)

• 8- Performing Arithmetic Operations (1:31)

• 9- Making Custom Containers (6:55)

• 10- Private Members (3:40)

• 11- Properties (7:30)

• 12- Inheritance (4:23)

• 13- The Object Class (2:23)

• 14- Method Overriding (3:14)

• 15- Multi-level Inheritance (2:42)

• 16- Multiple Inheritance (3:22)

• 17- A Good Example of Inheritance (4:31)

• 18- Abstract Base Classes (4:50)

• 19- Polymorphism (3:56)

• 20- Duck Typing (2:50)

• 21- Extending Built-in Types (2:26)

• 22- Data Classes (4:36)

Part8- Modules (20m)

• 1- Creating Modules (4:16)

• 2- Compiled Python Files (2:19)

• 3- Module Search Path (1:35)

• 4- Packages (2:27)

• 5- Sub-packages (1:01)

• 6- Intra-package References (1:36)

• 7- The dir Function (1:39)

• 8- Executing Modules as Scripts (2:55)

Part9- Python Standard Library (1h)

• 1- Python Standard Library (0:51)

• 2- Working With Paths (4:48)

• 3- Working with Directories (4:14)

• 4- Working with Files (3:59)

• 5- Working with Zip Files (3:15)

• 6- Working with CSV Files (4:50)

• 7- Working with JSON Files (3:57)

• 8- Working with a SQLite Database (9:10)

• 9- Working with Timestamps (2:24)

• 10- Working with DateTimes (5:05)

• 11- Working with Time Deltas (2:41)

• 12- Generating Random Values (4:09)

• 13- Opening the Browser (1:12)

• 14- Sending Emails (6:48)

• 15- Templates (4:53)

• 16- Command-line Arguments (1:54)

• 17- Running External Programs (8:06)

Part10- Python Package Index (1h30m)

• 1- Pypi (1:49)

• 2- Pip (6:23)

• 3- Virtual Environments (4:04)

• 4- Pipenv (3:40)

• 5- Virtual Environments in VSCode (3:49)

• 6- Pipfile (4:48)

• 7- Managing Dependencies (3:28)

• 8- Publishing Packages (8:22)

• 9- Docstrings (5:48)

• 10- Pydoc (4:06)

Part11- Popular Python Packages (1h30m)

• 1- Introduction (1:41)

• 2- What are APIs (2:36)

• 3- Yelp API (2:51)

• 4- Searching for Businesses (9:54)

• 5- Hiding API Keys (2:05)

• 6- Sending Text Messages (6:02)

• 7- Web Scraping (9:06)

• 8- Browser Automation (11:28)

• 9- Working with PDFs (6:18)

• 10- Working with Excel Spreadsheets (9:52)

• 11- Command Query Separation Principle (4:39)

• 12- NumPy (9:05)

Part12- Building Web Applications with Django (30m)

• 1- Introduction (1:43)

• 2- Your First Django Project (4:11)

• 3- Your First App (3:41)

• 4- Views (7:59)

• 5- Models (4:57)

• 6- Migrations (8:00)

• 7- Changing the Models (5:38)

• 8- Admin (4:29)

• 9- Customizing the Admin (6:55)

• 10- Database Abstraction API (3:52)

• 11- Templates (10:23)

• 12- Adding Bootstrap (4:19)

• 13- Customizing the Layout (2:23)

• 14- Sharing a Template Across Multiple Apps (3:48)

• 15- Url Parameters (4:37)

• 16- Getting a Single Object (3:48)

• 17- Raising 404 Errors (3:51)

• 18- Referencing Urls (3:47)

• 19- Creating APIs (9:26)

• 20- Adding the Homepage (4:27)

• 21- Getting Ready to Deploy (9:44)

• 22- Deployment (7:59)

Part13- Machine Learning with Python (30m)

• 1- What is Machine Learning (1:58)

• 2- Machine Learning in Action (2:47)

• 3- Libraries and Tools (4:54)

• 4- Importing a Data Set (6:21)

• 5- Jupyter Shortcuts (5:26)

• 6- A Real Machine Learning Problem (3:17)

• 7- Preparing the Data (3:05)

• 8- Learning and Predicting (4:04)

• 9- Calculating the Accuracy (6:20)

• 10- Persisting Models (3:14)

• 11- Visualizing a Decision Tree (6:26)

• 12- What to Learn Next

• 13- Thank You

最喜欢Mosh的教学逻辑，随着课程的深入，小白除了能了解怎么用，还可以了解到为什么这么用。

b站的up主悄悄搬运过去，并且基本上都附上了机翻字幕：
https://www.bilibili.com/video/BV1ng4y1i7Uk?p=1

b站

6小时完成“python基础——进阶——创建网站——自动化——机器学习”，满满的干货。是比较好的Python入门学习视频。

教程目录：

• P1 1- 入门Getting Started (32m)
• P2 2- 基本类型Primitive Types (34m)
• P3 3- 控制流Control Flow (37m)
• P4 4- 功能Functions (41m)
• P5 5- 数据结构Data Structures (1h20m)
• P6 6- 例外情况Exceptions (20m)
• P7 7- 类Classes (1h25m)
• P8 8- 模块Modules (20m)
• P9 9- Python标准库Python Standard Library (1h)
• P10 10- Python包索引Python Package Index (1h30m)
• P11 11- 流行的Python软件包Popular Python Packages (1
• P12 12- 使用Django构建Web应用程序
• P13 13- 使用Python进行机器学习

注：

1、撰写内容来源于个人收集的文献，属学术探究范畴。
2、版权属于时进军个人，转载需注明。