Building Robust Object-Oriented Python Applications and Libraries

Gain insights into object-oriented programming with Python. Delve into classes, inheritance, and concurrency. Discover how to build robust applications and advance your Python development career.
4.5
228 Lessons
45h
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This course explores object-oriented programming (OOP) with Python, using objects to design and build applications. By taking this course, learners will discover Python’s power, clean syntax, and robust libraries for OOP-based software development. You’ll start with an introduction to object-oriented design, exploring objects, classes, and the attributes and behaviors that define them. You’ll learn the basic concepts and advanced design patterns using Python’s OOP capabilities. You’ll learn about type hints, inheritance, exceptions, properties, abstract base classes, data structures, and functional programming. Next, you’ll learn string manipulation, serialization, file paths, the iterator pattern, and testing OOP programs. The course concludes with a deep dive into concurrency in Python. Completing this course ensures a solid grasp of OOP principles and the ability to design and implement complex applications in Python. This knowledge will lead you to Python development roles and career advancement.
This course explores object-oriented programming (OOP) with Python, using objects to design and build applications. By taking th...Show More

WHAT YOU'LL LEARN

Proficiency in object-oriented design principles and Python syntax
Understanding of advanced Python concepts like concurrency, exceptions, and operator overloading
Hands-on experience in creating complex programs using Python’s built-in data structures
Working knowledge of Python’s support for functional programming
Mastery of Python’s standard library for string manipulation, file paths, and serialization
Proficiency in object-oriented design principles and Python syntax

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Author NameBuilding Robust Object-Oriented PythonApplications and Libraries

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