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.
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 stars86.41%
- 4 stars10%
- 3 stars2.15%
- 2 stars0.31%
- 1 star1.10%
AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 1) からの人気レビュー
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.
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 course its a little hard walk through in the programing basic concepts, although the concepts are very funny to learn they lead to a deep understanding of programming essentials
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.
Fundamentals of Computing専門講座について
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.