About the Course
Description
This advanced Python course covers advanced topics on Python required to learn data science and machine learning. In this course, learners will learn about decorators, metaclasses, and other advanced programming techniques. You'll also explore concurrency, object-oriented programming concepts, functional programming, and design patterns. The course also includes testing strategies, database interaction, web development, and best practices for writing clean and efficient Python code. What will you learn?
Decorators and Metaprogramming
Metaclasses
Concurrency and Parallelism
Threading and multiprocessing.
Asynchronous programming with async/await.in python
Global Interpreter Lock
Advanced OOP Concepts
Multiple inheritance
Method resolution order (MRO)
Abstract base classes (ABCs)
Mixins and composition
Higher-order functions
Lambda functions and closures
Map, filter, and reduce
Database Interaction(Object-Relational Mapping (ORM) with libraries like SQLAlchemy, MongoDB)
Skills You Will Develop
Additional projects
Advanced programming techniques
Conceptual skill
Testing Strategies
Eligibility Criteria
Concept of Advanced Python course
Good knowledge of Object Oriented programming system
Multiple inheritance
Your Instructor
Mechatron
With years of hands-on experience in technology, education, and industry applications, your instructor brings a passion for making complex topics simple and accessible. From programming fundamentals to advanced AI systems, each course is designed to be practical, engaging, and beginner-friendly. Whether you're just starting out or looking to level up your skills, you’ll gain real-world knowledge, guided by someone who’s been there and knows how to help you get where you want to go.