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via Udemy |
Go to Course: https://www.udemy.com/course/intermediate-python-memory-decorator-async-cython-more/
Certainly! Here's a detailed review and recommendation of the Coursera course on Python, updated to cover Python 3.12: --- **Course Review: Advanced Python Programming (Coursera)** If you're looking to elevate your Python skills beyond the basics and dive into more sophisticated techniques, this course is an excellent choice. Updated to include the latest features of Python 3.12, it offers a comprehensive exploration of intermediate to advanced Python programming concepts suitable for learners who already have foundational knowledge. **Course Content & Topics** This course is well-structured and dense with valuable content. It begins with essential topics like memory management, mutable and immutable data types, and copying techniques. It then advances into the correct usage of containers such as lists, dictionaries, and sets, before moving into more complex areas like string formatting with f-strings, object-oriented programming (OOP) including inheritance and special Dunder methods, and data structures like Dataclasses, Enums, and NamedTuples. A standout feature is the integration of performance optimization tools like Cython, PyBind11, Numba, and Mypyc, which are crucial for writing fast, efficient Python code. The course also covers concurrency and parallelism with modules on multiprocessing, multithreading, and understanding the Global Interpreter Lock (GIL), along with asynchronous programming—apt for harnessing modern hardware effectively. **Prerequisites & Tools** The course is designed for learners who have already mastered the basics of Python: variables, control flow, functions, and classes. It specifies the use of Visual Studio Code (VSCode) as the IDE, which is a free, versatile editor compatible with all operating systems, making it accessible for most students. Python 3.8 or newer is required, and the course recommends installing Python via Anaconda for convenience, though alternative installation options are also provided. **Strengths** - Up-to-date content aligned with Python 3.12 features - Practical focus on creating efficient and maintainable code - Covers both core and advanced topics, including performance optimization - Hands-on approach with real-world examples - Suitable for developers looking to deepen their Python expertise and understand its internal workings **Recommendations** I highly recommend this course for intermediate to advanced Python programmers seeking to sharpen their skills and understand cutting-edge features. The curriculum’s depth and breadth are impressive, and it’s particularly beneficial for those working on performance-critical applications, data science, or system automation. Whether you're aiming to improve your coding environment setup, learn new Python features, or explore integration with C/C++ via tools like Cython and PyBind11, this course will equip you with the knowledge and confidence to succeed. **Final Verdict** This course is a valuable investment for anyone committed to mastering Python at a professional level. Its comprehensive coverage of modern Python programming techniques, combined with practical labs and real-world applications, makes it a must-take for those aspiring to become Python pros and stay ahead in the rapidly evolving tech landscape. --- **See you in class!**
The course was updated and covers topics from Python Version 3.12!Course Description:The course covers intermediate to advanced Python programming techniques.This means that the course is not aimed at programming beginners.This course is compact, instructive, and useful. You learn not only how to use Python well, but also more abstract concepts that are transferable to other languages, as well as how to create a good programming environment.Prerequisites: Creating and using variables If-statements, loops and logical expressions Implementing your own functions and classes Importing from external packages In the course we will use Visual Studio Code (VSCode) as the IDE which is free for all operating systems.I assume that you have already Python 3.8 or newer on your system, if not you could install it via Anaconda for example.This course consists of the following topics:Memory management of variables in Python Mutable and Immutable TypesShallow and Deep CopiesThe correct use of containers (list, dict, set etc.)f-Strings formattingFunctions and Decoratorsargs and kwargs ArgumentsObject orientation and inheritance Special Dunder MethodsDataclass, Enum and NamedTupleThe integration of Cython Using the Python C API (CPython)Using PyBind11 (introductory example)Using Numba and MypycUsing multiprocessing and multithreadingGlobal Interpreter Lock (GIL) in PythonUsing asynchronous programmingBecome a pro today, in the technology of tomorrow!See you in class!Note:In the course, Python is installed via Anaconda. If this is not possible for you, you can also install Python from other sources.