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Python Project Structure | Modules and Imports
Python Advanced Concepts
course content

Course Content

Python Advanced Concepts

Python Advanced Concepts

1. Modules and Imports
2. Error Handling
3. File Handling
4. Pytest Framework
5. Unittest Framework
6. Iterators and Generators

bookPython Project Structure

Welcome to the first chapter of our journey through Python's advanced concepts! 🎉 Today, we're going to dive into the world of Python modules. Modules are incredibly powerful, allowing you to organize your Python code logically and reuse code efficiently. Let's get started and unravel the mysteries of modules together!

To provide a complete picture, let's discuss the differences between the project components. We will examine the distinctions and applications of each concept—module, package, library, and framework.

  • Module - each .py file is a module. This file can contain functions, classes, and variables. We can use a module or its individual components in another module using the import statement.

  • Package - is essentially a directory that contains a special file called __init__.py along with one or more modules (which are Python files) and possibly other sub-packages. Similarly, components of a package can be used with the import statement in another module within the same project.

  • Library - may have the structure of a package or simply be a folder with a collection of modules; less frequently, a library can be a single file, thus a module. We often use third-party libraries, so we install them via pip install. Built-in or custom libraries can simply be imported.

  • Framework - similar to libraries, Python frameworks are a collection of modules and packages that help programmers fast-track the development process. However, frameworks are usually more complex than libraries. To use a framework, you must download it, for example, using the pip install command.

Thanks for tuning in, and happy coding!

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Section 1. Chapter 1
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