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 stars10%
- 3 stars2.15%
- 2 stars0.31%
- 1 star1.10%
AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 1)의 최상위 리뷰
like it. like the mini project a lot. it really helps you build up what you have learned and put it into practice. and also it benefits a lot from examine other peers assignment.
Great start course! The learning curve gets a bit steep for people with no prior knowledge after the first few weeks, but the teachers keep the class interesting and the exercises are great practice.
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.
I had a lot of fun with this course. The instructors were concise and they created some very fun projects. Coming into programming somewhat green, I also learned a lot more than just Python.
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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