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.
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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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- 4 stars6,98 %
- 3 stars0,96 %
- 2 stars0,34 %
- 1 star0,52 %
Top-Bewertungen von AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 2)
very rich course , it was a real journey of struggling with new information and knowledge but once I finish implementing a mini-project I feel very confident . thank you
This is an excellent program; the pace is rigorous but the instruction is thorough. The peer-review component forces you to read code and learn through greater exposure. Excellent.
Fantastic course, pleasantly surprised at top quality lessons and you can really see that the instructors love to teach the course also. Would recommend to anyone interested in learning coding.
Fantastic idea of using simple games to teach the basics of Python. The mini-projects in this course are so much more satisfying that the other tutorials that I tried ( and gave up mid way).
Über den Spezialisierung Fundamentals of Computing
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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