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 stars86.40%
- 4 stars10.02%
- 3 stars2.14%
- 2 stars0.31%
- 1 star1.10%
AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 1)의 최상위 리뷰
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.
The course is really practical and you learn Python playing the games you develop, It is such a great course for those who already know how to code and want to know more about Python syntax.
This was a fun and convenient course, and it was a great start to learning programming for me. There must have been lots of thought and talent put into it to make it that way.
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.
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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