English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 12 lectures (3h 7m) | 1.30 GB
Dive into Object Oriented Programming and software engineering in Python, simplified.
This course offers a deep dive into advanced Python concepts that are crucial for developers looking to take their skills to the next level. By mastering metaclasses and dataclasses, programmers can unlock powerful techniques for creating more flexible, efficient, and maintainable code. These advanced features are particularly valuable in large-scale projects and complex software architectures, where they can significantly reduce code duplication and enhance overall design.
Understanding metaclasses provides developers with the ability to customize the class creation process, enabling powerful abstractions and framework-level programming. This knowledge is essential for those who want to contribute to or create sophisticated Python libraries and frameworks. Similarly, proficiency in dataclasses can lead to cleaner, more intuitive code when dealing with data-heavy applications, making it an invaluable skill in fields such as data science, web development, and systems programming.
The course’s accessibility to beginners, combined with its focus on advanced topics, makes it an excellent resource for Python developers at all levels who want to expand their expertise. Regular updates ensure that the content remains relevant in the ever-evolving Python ecosystem, providing long-term value to students who revisit the material.
What you’ll learn
- Learn the concept of metaclasses, their roles in Python, and how to create and apply them effectively in projects.
- Learn how inheritance works in the context of metaclasses and be able to design complex class hierarchies using these advanced features.
- Learn how to make classes iterable by leveraging metaclasses, enhancing the functionality of their Python classes.
- Learn Python’s dataclasses and how to create, manage, and manipulate data structures more effectively.
Table of Contents
Introduction
1 Introduction to Metaclasses
2 Algorithmic
Metaclass and Superclass
3 Metaclasses and Superclasses
4 Algorithmic
Metaclasses in Detail
5 The power of the metaclass
6 Algorithms
7 Deep Dive into metaclasses
Metaclasses and Inheritance
8 How inheritance works with metaclasses
9 Inspect and verify class relations
Metaclasses and iterables
10 Creating iterables of classes
Dataclasses
11 How to use dataclasses
Concluding remarks
12 Overview
Resolve the captcha to access the links!