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Use this code at checkout to buy the course AND get 1 of my books & 10 publications: 0BD6DEF 1F372715153BE (remove the space in the middle)
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You will learn advanced object oriended principles in Python and concepts like metaclasses, advanced inheritance and dataclasses.
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Included: all the Python code, and many publication - all available to download in the course! Also: I reply to your questions within hours!
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The course is regularly updated. Come back here every 6-12 months to download the updated code & publications!
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Basic knowledge of Python programming is mandatory.
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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.
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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.
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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.
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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.
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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.
BIOGRAPHY
PhD in Energy Economics (Imperial College London). I specialize in applying data science, machine learning, and optimization to real-world energy challenges. I’ve authored multiple books and publications in this field and have extensive hands-on industry experience.
I’m also the founder of The Energy Data Science Academy, with over 100 online courses covering cutting-edge machine learning, analytics, and data science applications in the energy sector. I’m passionate about helping you harness these tools for impactful results.
THE COURSE IS UPDATED EVERY 6-12 MONTHS. VISIT OFTEN!
I update the content every 6-12 months. Come back often to download the updated content!
WHENEVER YOU NEED HELP, JUST MESSAGE ME. I REPLY WITHIN HOURS.
Send me a private message or write your question in the Q&A forum that is inside the course.
I HAVE DEVELOPED 150 + ONLINE COURSES LIKE THIS ONE. INTERESTED?
Visit my academy at: www [dot] energydatascience [dot] com !
WHAT THIS COURSE IS ABOUT
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.
Specifically, learn what metaclasses are and why they are so important, through real-world applications.
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.
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.
Introduction to Metaclasses
Introduction to Metaclasses
A Presentation on Metaclasses
A Presentation on Metaclasses
A second presentation on Metaclasses
A second presentation on Metaclasses
Download the ebook: "Software Engineering at Google"
Download the ebook: "Software Engineering at Google"
Metaclasses and Superclasses
Metaclasses and Superclasses
The power of the metaclass
The power of the metaclass
Deep Dive into metaclasses
Deep Dive into metaclasses
How inheritance works with metaclasses
How inheritance works with metaclasses
Inspect and verify class relations
Inspect and verify class relations
Creating iterables of classes
Creating iterables of classes
How to use dataclasses
How to use dataclasses
Overview
Overview
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