Intermediate Python: Memory, Decorator, Async, Cython & more

🚀 Course Title: Intermediate Python: Memory, Decorator, Async, Cython & more 🐍

Stand out from the mass. Become a Python expert! 🎓🌟

Updated for Python Version 3.12 in November 2023!

Course Description:

Dive into the world of intermediate to advanced Python programming with this comprehensive course designed to elevate your Python skills. Tailored for those who already have a grasp on Python basics, this course promises a deep dive into Python's powerful features and abstract concepts that are applicable across various programming languages. It also emphasizes setting up a solid programming environment. 🛠️

Prerequisites:

Before jumping into this advanced course, ensure you have:

• Experience in creating and using variables
• A strong understanding of if-statements, loops, and logical expressions
• Proficiency in implementing your own functions and classes
• Knowledge of importing from external packages

We'll be using Visual Studio Code (VSCode) as our Integrated Development Environment (IDE), which is freely available across all operating systems. Make sure you have Python 3.8 or newer installed on your system; if not, consider installing it via Anaconda for a seamless experience. 💻

Course Topics:

This course is packed with valuable content that will enhance your Python expertise:

• Memory Management: Understand how variables are managed in Python and the difference between mutable and immutable types. Learn about shallow and deep copies to manipulate objects without causing unexpected side effects.
• Containers Mastery: Master the use of lists, dictionaries, sets, and other container types effectively.
• String Formatting with f-Strings: Enhance your code with clean and readable formatted strings.
• Functions & Decorators: Explore the powerful concept of functions, including first-class functions, lambda functions, and decorators that can modify their behavior without changing their code.
• Advanced Argument Passing: Learn about args and kwargs, which allow for more flexible function definitions.
• Object Orientation & Inheritance: Deepen your understanding of object orientation with Python's classes, inheritance, and special Dunder methods.
• Type Introspection: Discover the power of dataclasses, enums, and namedtuples for type annotation and introspection.
• Performance Optimization with Cython: Integrate Cython into your Python code to boost performance by allowing C-code within Python.
• Python C API & PyBind11: Utilize the Python C API for direct interaction with the interpreter and get an introductory look at PyBind11, a library that allows you to write native extensions for Python using C++.
• Static Typing with Numba & Mypyc: Leverage tools like Numba and Mypyc for static typing which can improve performance and detect errors early in the development process.
• Concurrency & Multiprocessing: Understand how to use multiprocessing, multithreading, and asynchronous programming to harness the full power of your machine.
• The Global Interpreter Lock (GIL): Learn about the GIL and how it affects Python's concurrency model.

Become a Pro Today, in the Technology of Tomorrow! 🕰️🚀

This course is your gateway to becoming a proficient Python developer with a deep understanding of both its core functionalities and advanced capabilities. By exploring the intricacies of Python memory management, leveraging decorators, mastering asynchronous programming, and understanding the underpinnings of Cython, you'll be well-equipped to tackle complex problems and innovate in the dynamic field of software development.

See you in class! Let's embark on this journey together to become Python experts! 🧠✨