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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Habilidades que obtendrás
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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Principales reseñas sobre AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 2)
This course is the best course I have ever taken. It covers all the topics very well. And importantly I love the treat at the end of every week. The ultimate showdown between the two best instructors.
A very elegant yet fun way to explain python. I have used the skills learned here and build very useful scripts and python-based micro-services in my current company that have enabled many use cases.
lectures were pretty clear, and the game projects were a very smart way to keep learning fun and challenging. Code clinics were very useful and gave me the push I needed to do everything on myown.
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!
Acerca de Programa especializado: 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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