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
Learner Career Outcomes
Learner Career Outcomes
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.
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TOP REVIEWS FROM AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 1)
The best python course i ever had thanks to the teachers therereally awesome, and the classes are very pleasant. if your aout there trying to start with programming, i definitely recommend this course
The course is well structured but goes very (too?) fast... I spent so much more hours than indicated to do the practice exercises and the mini projects. Difficult to manage if you have a full time job
it is really a good, and interesting course offered by coursers. the teaching staff and the proffers exp land in a detailed and understandable way and made the course essay to understand and workout.
Great start course! The learning curve gets a bit steep for people with no prior knowledge after the first few weeks, but the teachers keep the class interesting and the exercises are great practice.
About the Fundamentals of Computing Specialization
This Specialization covers much of the material that first-year Computer Science students take at Rice University. 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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