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 stars91.17%
- 4 stars6.98%
- 3 stars0.96%
- 2 stars0.34%
- 1 star0.52%
AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 2)의 최상위 리뷰
Great course and even better lecturers. I've learned a lot about Python and object-oriented paradigm. Strongly recommend this course to everyone interested in programming.
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
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.
This is THE BEST course for Python I had so far. I passed this one in 2014, however, I did not finish the last two assessment. That's why I decided to do it again and pass it properly.
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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