This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you’ll advance your Python programming skills with a deep dive into essential concepts and practical applications. You will learn how to work with multi-module applications, explore performance measurement techniques, and master advanced function concepts like default arguments and lambda functions. The course focuses on optimizing your code and ensuring that it’s both readable and efficient. As you move forward, you’ll explore the power of Python's random module, develop applications that interact with external data through APIs, and handle file operations and exceptions gracefully. From mastering JSON data handling to understanding advanced file I/O, you'll develop the skills necessary to create robust and optimized Python applications for real-world scenarios. This course is perfect for those who have a basic understanding of Python and want to take their skills to the next level. It’s designed to provide hands-on practice with projects that involve web data, file manipulation, and API interactions, making it ideal for aspiring developers and data scientists. By the end of the course, you will be able to design complex Python applications using advanced features like multi-module structures, manage and manipulate JSON data, interact with external APIs, and handle errors and exceptions effectively in your programs.
