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https://github.com/labex-labs/the-advanced-python-mastery
[The Advanced Python Mastery] This repository collects 51 of programming scenarios (labs and challenges) 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 in...
https://github.com/labex-labs/the-advanced-python-mastery
List: the-advanced-python-mastery
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[The Advanced Python Mastery] This repository collects 51 of programming scenarios (labs and challenges) 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 in...
- Host: GitHub
- URL: https://github.com/labex-labs/the-advanced-python-mastery
- Owner: labex-labs
- Created: 2024-05-22T07:13:47.000Z (6 months ago)
- Default Branch: master
- Last Pushed: 2024-08-01T01:27:00.000Z (4 months ago)
- Last Synced: 2024-08-02T04:22:47.392Z (4 months ago)
- Topics: awesome, awesome-list, challenges, course, education, hands-on, labex, labs, linux, programming, python
- Homepage: https://labex.io/skilltrees/python
- Size: 15.6 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# The Advanced Python Mastery
[](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.
## 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 AI learning assistant Labby, built on ChatGPT, providing a conversational learning experience.
Learn more about [LabEx VM](https://support.labex.io/using-labex/virtual-machine).
## Exercises
| Index | Name | Difficulty | Practice |
|---------|---------------------------------------------------------|--------------|--------------------------------------------------------------------------------------------------------------------------------------|
| 01 | 📖 Run a Small Program | ★☆☆ | Start Lab |
| 02 | 📖 Manipulate Various Built-in Python Objects | ★☆☆ | Start Lab |
| 03 | 📖 Review Basic File I/O | ★☆☆ | Start Lab |
| 04 | 📖 Review Simple Functions Exception Handling | ★☆☆ | Start Lab |
| 05 | 📖 Define a Simple Object | ★☆☆ | Start Lab |
| 06 | 📖 Defining and Importing Python Modules | ★☆☆ | Start Lab |
| 07 | 📖 Different Ways of Representing Records | ★☆☆ | Start Lab |
| 08 | 📖 Various Data Analysis Problems | ★☆☆ | Start Lab |
| 09 | 📖 Iterate Like a Pro | ★☆☆ | Start Lab |
| 10 | 📖 Make a New Primitive Type | ★☆☆ | Start Lab |
| 11 | 📖 Make a Custom Container | ★☆☆ | Start Lab |
| 12 | 📖 Exploring Python's First-Class Objects Memory Mode... | ★☆☆ | Start Lab |
| 13 | 📖 Define a Simple Class | ★☆☆ | Start Lab |
| 14 | 📖 Attribute Access and Bound Methods | ★☆☆ | Start Lab |
| 15 | 📖 Class Variables and Class Methods | ★☆☆ | Start Lab |
| 16 | 📖 Private Attributes and Properties | ★☆☆ | Start Lab |
| 17 | 📖 Practical Use of Inheritance | ★☆☆ | Start Lab |
| 18 | 📖 Redefining Special Methods | ★☆☆ | Start Lab |
| 19 | 📖 Type Checking and Interfaces | ★☆☆ | Start Lab |
| 20 | 📖 Mixin Classes and Cooperative Inheritance | ★☆☆ | Start Lab |
| 21 | 📖 How Objects Are Represented | ★☆☆ | Start Lab |
| 22 | 📖 Behavior of Inheritance | ★☆☆ | Start Lab |
| 23 | 📖 Learn About Descriptors | ★☆☆ | Start Lab |
| 24 | 📖 Customizing Attribute Access | ★☆☆ | Start Lab |
| 25 | 📖 Definitional Aspects of Functions | ★☆☆ | Start Lab |
| 26 | 📖 Returning Values From Functions | ★☆☆ | Start Lab |
| 27 | 📖 Python's Higher Functions | ★☆☆ | Start Lab |
| 28 | 📖 Learn More About Closures | ★☆☆ | Start Lab |
| 29 | 📖 Exception Handling and Logging | ★☆☆ | Start Lab |
| 30 | 📖 Python Unittest Module | ★☆☆ | Start Lab |
| 31 | 📖 Function Argument Passing Conventions | ★☆☆ | Start Lab |
| 32 | 📖 Scoping Rules and Tricks | ★☆☆ | Start Lab |
| 33 | 📖 Inspect the Internals of Functions | ★☆☆ | Start Lab |
| 34 | 📖 Create Code with Exec | ★☆☆ | Start Lab |
| 35 | 📖 Define a Proper Callable Object | ★☆☆ | Start Lab |
| 36 | 📖 Define a Simple Decorator Functions | ★☆☆ | Start Lab |
| 37 | 📖 Decorator Chaining and Parameterized Decorators | ★☆☆ | Start Lab |
| 38 | 📖 Learn About Class Decorators | ★☆☆ | Start Lab |
| 39 | 📖 Low-Level of Class Creation | ★☆☆ | Start Lab |
| 40 | 📖 Create Your First Metaclass | ★☆☆ | Start Lab |
| 41 | 📖 Metaclasses in Action | ★☆☆ | Start Lab |
| 42 | 📖 Customize Iteration Using Generators | ★☆☆ | Start Lab |
| 43 | 📖 Utilize Generators For Stocksim Pipelines | ★☆☆ | Start Lab |
| 44 | 📖 Coroutine-Powered Data Processing | ★☆☆ | Start Lab |
| 45 | 📖 Yield Statement Management in Python | ★☆☆ | Start Lab |
| 46 | 📖 Learn About Managed Generators | ★☆☆ | Start Lab |
| 47 | 📖 Learn About Delegating Generators | ★☆☆ | Start Lab |
| 48 | 📖 A Review of Module Basics | ★☆☆ | Start Lab |
| 49 | 📖 Create a Python Package | ★☆☆ | Start Lab |
| 50 | 📖 Controlling Symbols and Combining Submodules | ★☆☆ | Start Lab |
| 51 | 📖 Circular and Dynamic Module Imports | ★☆☆ | Start Lab |
## More
- 🔗 [Python Programming Courses](https://github.com/labex-labs/awesome-programming-courses)
- 🔗 [Python Programming Projects](https://github.com/labex-labs/awesome-programming-projects)
- 🔗 [Python Free Tutorials](https://github.com/labex-labs/python-free-tutorials)