This course is designed for experienced Python developers looking to master advanced concepts. It covers topics like multithreading, multiprocessing, asynchronous programming, advanced data structures, metaprogramming, and design patterns. You’ll also dive into performance optimization, testing strategies, and advanced usage of libraries such as NumPy and Pandas. By the end of the course, you’ll be prepared to build high-performance, scalable, and professional-grade Python applications.
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This course is designed for experienced Python developers looking to master advanced concepts. It covers topics like multithreading, multiprocessing, asynchronous programming, advanced data structures, metaprogramming, and design patterns. You'll also dive into performance optimization, testing strategies, and advanced usage of libraries such as NumPy and Pandas. By the end of the course, you'll be prepared to build high-performance, scalable, and professional-grade Python applications.
4 Modules in this Course
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Introduction to PyCharm
Module 1 Duration: 8 hoursWhat includes:3 Lessons
3 Videos
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Data Structures: More About Lists
Module 2 Duration: 6 hoursWhat includes:3 Lessons
3 Videos
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Strings
Module 3 Duration: 6 hoursWhat includes:2 Lessons
2 Videos
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Data Structures: Tuples
Module 4 Duration: 6 hoursWhat includes:2 Lessons
2 Videos