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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Compétences que vous acquerrez
Université de Rice
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 stars91,19 %
- 4 stars6,97 %
- 3 stars0,95 %
- 2 stars0,34 %
- 1 star0,52 %
Meilleurs avis pour AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 2)
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.
Fantastic Course, As Simple As that! It will both teach you the basics and get inspired to pursue programming, maybe for the rest of your life. Thanks Joe, Scott, and of course the tips one :D
This is an excellent program; the pace is rigorous but the instruction is thorough. The peer-review component forces you to read code and learn through greater exposure. Excellent.
It's quite interesting and completing every mini project will give me great sense of achivements. But I think it can be more challenging if the templates were less detailed.
À propos du Spécialisation Bases de l'informatique
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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