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.
- 5 stars91.13%
- 4 stars7.03%
- 3 stars0.95%
- 2 stars0.34%
- 1 star0.52%
AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 2)의 최상위 리뷰
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 .
I enjoyed this course so much.Scott and Joe are really good ,funny and have invested a lot of effort in this course.I recommend this course for anyone who wants to start programming
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.
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.
Fundamentals of Computing 특화 과정 정보
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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