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.
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- A structured content organization with the Skill Tree based learning system.
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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 |