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Master Advanced Python Programming
Master Advanced Python, Build Real-World Projects & Explore Machine Learning Models with Hands-On Programming
5.09 reviews61 learners
- Expert
- 25h 59m video
- 139 lectures
- English
- Captions
- Updated 2026
Taught by Coding Hub
- 25h 59m of on-demand video
- 139 lectures across 32 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
32 sections139 lectures25h 59m total
- Introduction to Python4:27
- Installing Python and Setting the Integrated Development Environment5:00
- Thread Creation | Naming | Joining23:12
- Multi-Threading - Downloading Example9:52
- Daemon Thread13:27
- Thread Pool Executer10:06
- F-Strings - Basic Insertion9:24
- F-Strings - Quotes and Backslashes7:25
- F-String - Type Conversion11:08
- F-Strings and Lambda Functions3:42
- Existing and Wrapper Function7:29
- Decorating a Function1:49
- Passing Argument to a Decorator Function3:22
- Examples of Decorators11:55
- Directories12:37
- File Info and System Command10:21
- Walking10:54
- OS Path Join2:13
- Time Structures and Pausing Execution10:31
- Formatting Time16:54
- Performance Measurement11:49
About this course
Are you ready to take your Python skills beyond the basics and start writing advanced, professional-level Python programs? Master Advanced Python Programming is a practical, project-focused course designed for learners who already understand the fundamentals of Python and want to develop the skills required to build more sophisticated applications. This course goes beyond basic syntax and simple programming exercises. You'll explore advanced Python concepts and learn how experienced developers use Python to write …
Before you start
- Basics of Python or Any other Programming Language is Required
Who it’s for
- Python developers who already understand the fundamentals and want to progress to advanced Python programming.
- Programmers who want to write cleaner, more efficient, reusable, and professional Python code.
- Students who have completed a beginner Python course and want to challenge themselves with more advanced concepts.
- Developers who want to strengthen their understanding of OOP, decorators, generators, iterators, comprehensions, lambda functions, modules, and advanced Python techniques.
- Software developers who want to build more complex and practical Python applications.
- Programmers interested in using Python for automation, data processing, application development, and real-world programming projects.
- Students interested in combining advanced Python programming with machine learning and predictive applications.
- Developers who want to improve their problem-solving, debugging, code organization, and software-development skills.
- Anyone who already knows basic Python and wants to take the next step toward becoming a confident and professional Python developer.
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