BIOGRAPHY

A team (PhD) specialized in teaching Data Science (including artificial intelligence, machine learning, and optimization) for the energy sector (investments, economics, etc.). Visit the official website of the Energy Data Science Academy to find online courses about data science applications in the Energy Sector. Visit www [dot] energydatascience [dot] com.

THE COURSE IS UPDATED EVERY 6-12 MONTHS. VISIT OFTEN! 

The content (videos/code) is updated every 6-12 months (e.g. new publications become available for download). Come back often! 

ANYTIME YOU NEED HELP, SEND A PRIVATE MESSAGE OR USE THE Q&A FORUM. YOU WILL GET A REPLY WITHIN HOURS FROM THE INSTRUCTOR!

You can send a private message or write your question in the Q&A forum inside the course!

FIND HUNDREDS OF COURSES 

Visit www [dot] energydatascience [dot] com and explore hundreds of specialized courses!

WHAT THIS COURSE IS ABOUT

1. Learn how to model advanced object-oriented principles in Python, which are extremely valuable when developing large programs and models. I will show you exactly how they are used in practice.

2. Specifically, learn what metaclasses are and why they are so important, through real-world applications. 

3. You will explore how to use metaclasses and dataclasses in different real-world scenarios, learning strategies for their application in practical projects to solve complex programming challenges.

4. Additionally, you will enhance your debugging skills by identifying and resolving common modeling issues that arise when working with metaclasses and dataclasses, ensuring that your code is both reliable and maintainable.

Who this course is for:

• Python developers looking to deepen their understanding of advanced Python features like metaclasses and dataclasses, which are essential for building robust and efficient Python applications.
• Software engineers who want to optimize their object-oriented programming skills in Python will find this course invaluable, particularly in mastering inheritance and class structures at a more advanced level.
• Data scientists will benefit from this course by learning how to manage and manipulate complex data structures using metaclasses and dataclasses, which can lead to more efficient data processing and analysis pipelines.
• Researchers who work with Python for data modeling or simulation will find this course helpful in implementing metaclasses and dataclasses to manage and organize data more effectively, thus enhancing the scalability and maintainability of their code.
• Students pursuing a degree in computer science who have a basic understanding of Python can use this course to get ahead in their studies by mastering advanced topics that are crucial for their academic and professional growth.