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.
Este curso faz parte do Programa de cursos integrados Fundamentos da computaçãoFundamentos da Computação
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Informações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 16 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Inglês, Espanhol
Habilidades que você terá
- Python Syntax And Semantics
- Logic Programming
- Python Programming
- Object-Oriented Programming (OOP)
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 16 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Inglês, Espanhol
oferecido por
Universidade 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.
Programa - O que você aprenderá com este curso
5 horas para concluir
Week 5 - Mouse input, list methods, dictionaries
Read mouse input, learn about list methods and dictionaries, draw images
5 horas para concluir
10 vídeos (Total 111 mín.), 4 leituras, 3 testes
4 horas para concluir
Week 6 - Classes and object-oriented programming
Learn the basics of object-oriented programming in Python using classes, work with tiled images
4 horas para concluir
8 vídeos (Total 95 mín.), 5 leituras, 3 testes
4 horas para concluir
Week 7 - Basic game physics, sprites
Understand the math of acceleration and friction, work with sprites, add sound to your game
4 horas para concluir
6 vídeos (Total 76 mín.), 3 leituras, 3 testes
3 horas para concluir
Week 8 - Sets and animation
Learn about sets in Python, compute collisions between sprites, animate sprites
3 horas para concluir
7 vídeos (Total 71 mín.), 3 leituras, 2 testes
Avaliações
Principais avaliações do INTRODUÇÃO À PROGRAMAÇÃO INTERATIVA EM PYTHON (PARTE 2)
por IS22 de Jun de 2016
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.
por JG1 de Abr de 2020
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.
por NA17 de Jun de 2016
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.
por CG9 de Mar de 2019
Fantastic course, pleasantly surprised at top quality lessons and you can really see that the instructors love to teach the course also. Would recommend to anyone interested in learning coding.
Sobre Programa de cursos integrados Fundamentos da computaçãoFundamentos da Computação
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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