https://github.com/labex-labs/the-advanced-python-mastery
The Advanced Python Mastery | This repo collects 51 of programming labs exercises for The Advanced Python Mastery. This course is designed by David Beazley, author of the Python Cookbook, released under a Creative Commons license. The goal of this course is to provide an intermediate-level introd...
https://github.com/labex-labs/the-advanced-python-mastery
challenges course exercises hands-on labex labs linux playgroud programming python
Last synced: 26 days ago
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The Advanced Python Mastery | This repo collects 51 of programming labs exercises for The Advanced Python Mastery. This course is designed by David Beazley, author of the Python Cookbook, released under a Creative Commons license. The goal of this course is to provide an intermediate-level introd...
- Host: GitHub
- URL: https://github.com/labex-labs/the-advanced-python-mastery
- Owner: labex-labs
- Created: 2024-05-22T07:13:47.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-01-01T01:53:00.000Z (about 1 year ago)
- Last Synced: 2025-04-29T13:05:05.641Z (9 months ago)
- Topics: challenges, course, exercises, hands-on, labex, labs, linux, playgroud, programming, python
- Homepage: https://labex.io/courses/the-advanced-python-mastery
- Size: 33.2 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# The Advanced Python Mastery
## Languages
๐จ๐ณ [็ฎไฝไธญๆ](README_zh.md) ๐ช๐ธ [Espaรฑol](README_es.md) ๐ซ๐ท [Franรงais](README_fr.md) ๐ฉ๐ช [Deutsch](README_de.md) ๐ฏ๐ต [ๆฅๆฌ่ช](README_ja.md) ๐ท๐บ [ะ ัััะบะธะน](README_ru.md) ๐ฐ๐ท [ํ๊ตญ์ด](README_ko.md) ๐ง๐ท [Portuguรชs](README_pt.md) ๐บ๐ธ [English](README.md)
[](https://labex.io/courses/the-advanced-python-mastery)
[](https://labex.io/courses/the-advanced-python-mastery)
This course is designed by David Beazley, author of the Python Cookbook, released under a Creative Commons license. The goal of this course is to provide an intermediate-level introduction to Python that goes beyond the basics of Python syntax and provides an opportunity to apply Python to a variety of intermediate-level problems.
## Exercises
| Index | Name | Difficulty | Practice |
|---------|-------------------------------------------------------------|--------------|-------------------------------------------------------------------------------------------------------------------------------|
| 01 | ๐ ๐ Run a Small Program | Intermediate | Start Lab |
| 02 | ๐ ๐ Manipulate Various Built-in Python Objects | Beginner | Start Lab |
| 03 | ๐ ๐ Review Basic File I/O | Beginner | Start Lab |
| 04 | ๐ ๐ Review Simple Functions Exception Handling | Beginner | Start Lab |
| 05 | ๐ ๐ Define a Simple Object | Beginner | Start Lab |
| 06 | ๐ ๐ Defining and Importing Python Modules | Beginner | Start Lab |
| 07 | ๐ ๐ Different Ways of Representing Records | Intermediate | Start Lab |
| 08 | ๐ ๐ Various Data Analysis Problems | Intermediate | Start Lab |
| 09 | ๐ ๐ Iterate Like a Pro | Beginner | Start Lab |
| 10 | ๐ ๐ Make a New Primitive Type | Beginner | Start Lab |
| 11 | ๐ ๐ Make a Custom Container | Beginner | Start Lab |
| 12 | ๐ ๐ Exploring Python's First-Class Objects Memory Mode... | Intermediate | Start Lab |
| 13 | ๐ ๐ Define a Simple Class | Beginner | Start Lab |
| 14 | ๐ ๐ Attribute Access and Bound Methods | Beginner | Start Lab |
| 15 | ๐ ๐ Class Variables and Class Methods | Beginner | Start Lab |
| 16 | ๐ ๐ Private Attributes and Properties | Intermediate | Start Lab |
| 17 | ๐ ๐ Practical Use of Inheritance | Beginner | Start Lab |
| 18 | ๐ ๐ Redefining Special Methods | Intermediate | Start Lab |
| 19 | ๐ ๐ Type Checking and Interfaces | Beginner | Start Lab |
| 20 | ๐ ๐ Mixin Classes and Cooperative Inheritance | Beginner | Start Lab |
| 21 | ๐ ๐ How Objects Are Represented | Beginner | Start Lab |
| 22 | ๐ ๐ Behavior of Inheritance | Beginner | Start Lab |
| 23 | ๐ ๐ Learn About Descriptors | Beginner | Start Lab |
| 24 | ๐ ๐ Customizing Attribute Access | Beginner | Start Lab |
| 25 | ๐ ๐ Definitional Aspects of Functions | Beginner | Start Lab |
| 26 | ๐ ๐ Returning Values From Functions | Beginner | Start Lab |
| 27 | ๐ ๐ Python's Higher Functions | Beginner | Start Lab |
| 28 | ๐ ๐ Learn More About Closures | Beginner | Start Lab |
| 29 | ๐ ๐ Exception Handling and Logging | Beginner | Start Lab |
| 30 | ๐ ๐ Python Unittest Module | Beginner | Start Lab |
| 31 | ๐ ๐ Function Argument Passing Conventions | Beginner | Start Lab |
| 32 | ๐ ๐ Scoping Rules and Tricks | Beginner | Start Lab |
| 33 | ๐ ๐ Inspect the Internals of Functions | Beginner | Start Lab |
| 34 | ๐ ๐ Create Code with Exec | Beginner | Start Lab |
| 35 | ๐ ๐ Define a Proper Callable Object | Beginner | Start Lab |
| 36 | ๐ ๐ Define a Simple Decorator Functions | Beginner | Start Lab |
| 37 | ๐ ๐ Decorator Chaining and Parameterized Decorators | Beginner | Start Lab |
| 38 | ๐ ๐ Learn About Class Decorators | Beginner | Start Lab |
| 39 | ๐ ๐ Low-Level of Class Creation | Beginner | Start Lab |
| 40 | ๐ ๐ Create Your First Metaclass | Beginner | Start Lab |
| 41 | ๐ ๐ Metaclasses in Action | Beginner | Start Lab |
| 42 | ๐ ๐ Customize Iteration Using Generators | Beginner | Start Lab |
| 43 | ๐ ๐ Utilize Generators For Stocksim Pipelines | Beginner | Start Lab |
| 44 | ๐ ๐ Coroutine-Powered Data Processing | Beginner | Start Lab |
| 45 | ๐ ๐ Yield Statement Management in Python | Beginner | Start Lab |
| 46 | ๐ ๐ Learn About Managed Generators | Beginner | Start Lab |
| 47 | ๐ ๐ Learn About Delegating Generators | Beginner | Start Lab |
| 48 | ๐ ๐ A Review of Module Basics | Beginner | Start Lab |
| 49 | ๐ ๐ Create a Python Package | Beginner | Start Lab |
| 50 | ๐ ๐ Controlling Symbols and Combining Submodules | Intermediate | Start Lab |
| 51 | ๐ ๐ Circular and Dynamic Module Imports | Beginner | Start Lab |
## Environment
LabEx is an interactive, hands-on learning platform dedicated to coding and technology. It combines labs, AI assistance, and virtual machines to provide a no-video, practical learning experience.
- A strict "Learn by Doing" approach with exclusive hands-on labs and no videos.
- Interactive online environments within the browser, with automated step-by-step checks.
- A structured content organization with the Skill Tree based learning system.
- A growing learning resource of 30 Skill Trees and over 6,000 Labs.
- The learning assistant Labby, built on lastest AI models, providing a conversational learning experience.
Learn more about [LabEx VM](https://support.labex.io/using-labex/virtual-machine).
## More
- ๐ [Python Programming Courses](https://github.com/labex-labs/awesome-programming-courses)
- ๐ [Python Programming Projects](https://github.com/labex-labs/awesome-programming-projects)
- ๐ [Python Free Tutorials](https://github.com/labex-labs/python-free-tutorials)