Scott Rixner is a Professor of Computer Science at Rice University. His research focuses on systems software and computer architecture. He is well versed in the internals of the Python programming language, as he is currently developing a light-weight Python interpreter for embedded systems in his research. He has also taught many of the introductory computer science courses at Rice, including Computational Thinking, Algorithmic Thinking, Introduction to Program Design, and Introduction to Computer Systems. He is the chairman of the curriculum committees for both the Department of Computer Science and the School of Engineering at Rice. Prior to joining Rice, he received his Ph.D. from MIT.
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Discover the fundamentals of creating simple interactive applications with our introductory Python course. Designed for beginners, this two-part series provides an accessible pathway into coding, using Python—a popular, easy-to-learn computer language—and a cutting-edge browser-based programming environment that simplifies the development process.
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Dive into 'Principles of Computing (Part 1)' – an advanced course that builds upon your existing Python programming knowledge. This course will equip you with essential programming practices, critical thinking, and mathematical problem-solving skills crucial for larger scale computational projects.
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Dive into the world of Algorithmic Thinking with Part 1 of this foundational course offered by Coursera. Designed for those who want to simplify and optimize their approach to solving computational problems, this class will equip you with essential mathematical concepts and processes that underpin efficient algorithm design. Whether you're a beginner or looking to refine your skills, this course is an excellent starting point.
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Dive into Part 2 of 'Principles of Computing', a two-part course that builds upon basic concepts to introduce advanced topics in Computer Science. Learn through engaging content and practical projects using Python, gaining proficiency in problem-solving and efficient coding techniques.
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Discover the fundamentals of creating engaging interactive applications with our beginner-focused Python course. Designed for individuals new to computing, this two-part series introduces Python – an accessible high-level computer language used widely in various fields. Learn at your own pace through our user-friendly browser-based programming environment and start developing simple yet impactful applications today.
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Dive deeper into the world of Algorithmic Thinking in Part 2 of this insightful online course offered by Coursera. Designed for those who have already grasped the basics, this advanced class will train you in the mathematical concepts and processes that experienced computer scientists use to solve complex computational problems efficiently. Elevate your problem-solving skills and learn how to build more effective algorithms.
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Embark on a journey of data visualization mastery with our final course in the Python Specialization. This course builds upon essential programming skills, data representation, and analysis techniques to equip you with the ability to acquire, clean, process, analyze, and visualize data using Python. Enhance your practical programming abilities and create compelling visual representations of data.
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Discover the basics of Python programming with our beginner-friendly course. From expressions and variables to functions and conditionals, you'll gain essential skills needed to write effective Python programs. Explore Python modules and unlock the power of existing functionalities within the language.
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Expand your knowledge in Python programming by diving into essential data representations like strings, lists, tuples, and file handling. This course is designed for beginners who want to build a strong foundation in Python and learn how to efficiently work with data within their programs.