This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.
About this Course
Skills you will gain
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
- 5 stars86.40%
- 4 stars10.02%
- 3 stars2.14%
- 2 stars0.31%
- 1 star1.10%
TOP REVIEWS FROM AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 1)
Was actually a very interesting class! I feel most computer programming classes should be structured like this. Learn a hell of a lot more actually programming rather than taking tests and quizzes.
This course its a little hard walk through in the programing basic concepts, although the concepts are very funny to learn they lead to a deep understanding of programming essentials
Best teachers ever! Content is suitable for both beginners and those who already have some experience in coding. I really enjoyed the lectures as well as the programming assignments.
I loved how this course teaches back-end as well as front-end design in unison; it helps the learner visualize their code in action and sets up a strong foundation for more advanced concepts!
About the Fundamentals of Computing Specialization
This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.
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