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 stars91.06%
- 4 stars7.02%
- 3 stars0.95%
- 2 stars0.34%
- 1 star0.60%
TOP REVIEWS FROM AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 2)
A very elegant yet fun way to explain python. I have used the skills learned here and build very useful scripts and python-based micro-services in my current company that have enabled many use cases.
I loved this course! Really learned a lot, and had a great time doing it. Thanks to all the instructors! Would highly recommend this course to anyone who wants to start learning Python.
Excellent course! I learnt skills and built up confidence in coding through this course, Thanks for the professors putting this course together--especially Scott and Joe:)
Instructors were superb just as they were in Part 1. I enjoyed the class material and feel like it really enhanced my programming knowledge. I would recommend the course to future students.
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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