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Python Programming

In this track, you'll build on the concepts and skills covered in the Python Programming Fundamentals skill track! Enhance your custom functions by leveraging context managers and decorators, and learn how to improve the efficiency of your code. As your skills develop, you’ll then gain an understanding of software engineering concepts, including modularity, documentation, and automated testing using pytest. By the end of the track, you'll be using your object-oriented programming (OOP) skills to read, reuse, and maintain your code. Start this track to continue on your Python programming journey. Next, you’ll get hands-on experience as you learn how to write functions following best practices, such as how to write documentation and use context managers and decorators. As your Python skills develop, you’ll then gain an understanding of software engineering concepts, including modularity, documentation, and automated testing, before diving in to learn unit-testing skills like debugging code, Test Driven Development (TDD), and using fixtures and mocking. Along the way, you'll use packages like pandas, NumPy, setuptools, pytest, and pycodestyle to practice Python programming. By the end of the track, you'll be using your object-oriented programming (OOP) skills to read, reuse, and maintain your code. Start this track to continue on your Python programming journey.

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Python
Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

4 hours

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Logan Thomas

Scientific Software Technical Trainer, Enthought

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