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⏱ 2h 36m📚 26 lessons
Python Standard Library in Practice: Building with Functions and OOP
Master Python's built-in modules to write clean, efficient code using object-oriented programming and structured functions through text-based exercises.
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About this course
To write clean and efficient Python code, you do not need to rely heavily on external packages. The Python Standard Library contains a wealth of built-in tools that can solve complex programming challenges if you know how to leverage them properly. This text-based course guides you through the most essential modules of the Python Standard Library while reinforcing your core programming skills. You will read detailed explanations, analyze clear code snippets, and practice writing robust functions and object-oriented classes to solve practical problems. What you'll learn: Understand foundational Python modules for file handling, math, and data serialization; Apply object-oriented programming principles to structure reusable classes; Implement type hints and dataclasses to write self-documenting, modern Python code; Manage dates, times, and complex data structures using built-in library utilities; Create functional code blocks and algorithms to solve diverse programming challenges; Organize your projects using modern virtual environments and clean code practices. The course starts with essential terminology and the basics of built-in modules before progressing to advanced OOP integrations and modern Python practices. You will build your understanding step-by-step through reading comprehensive written guides and working through practical text-based exercises. This course is designed for beginner Python developers who want to deepen their understanding of the standard library and object-oriented programming. No advanced prerequisites are required. Start reading today to unlock the full potential of Python's built-in capabilities.
What you'll get
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⚡Short & focused 2h 36m of practical content
Certificate of completion
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Python Standard Library in Practice: Building with Functions and OOP