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 stars91,06 %
- 4 stars7,02 %
- 3 stars0,95 %
- 2 stars0,34 %
- 1 star0,60 %
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 .
This was a great course for me. The projects were fun and challenging. The video lectures were a little bit funny and well taught. The progressing level of difficulty was well designed. Thanks!
Apart from giving me a pay raise, this specialization is making a huge difference in terms of how much of cleaner code I write and how much of clearer thinking I do before starting to code.
I had so much fun taking this course! I like it how the instructors had fun too, and teased each other, it was like watching a soap opera :-) The material covered was great.
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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