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.
This course is part of the Fundamentals of Computing Specialization
192,682 already enrolled
Offered By
Fundamentals of Computing SpecializationRice UniversityAbout this Course
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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
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Course 1 of 7 in the
Approx. 19 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, English, Spanish
Skills you will gain
- Programming Principles
- Python Syntax And Semantics
- Computer Programming
- Python Programming
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 7 in the
Approx. 19 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, English, Spanish
Offered by
Rice University
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.
Syllabus - What you will learn from this course
3 hours to complete
Week 0 - Statements, expressions, variables
Understand the structure of this class, explore Python as a calculator
3 hours to complete
6 videos (Total 71 min), 4 readings, 2 quizzes
4 hours to complete
Week 1 - Functions, logic, conditionals
Learn the basic constructs of Python programming, create a program that plays a variant of Rock-Paper-Scissors
4 hours to complete
7 videos (Total 98 min), 5 readings, 2 quizzes
4 hours to complete
Week 2 - Event-driven programming, local/global variables
Learn the basics of event-driven programming, understand difference between local and global variables, create an interactive program that plays a simple guessing game
4 hours to complete
8 videos (Total 83 min), 5 readings, 3 quizzes
4 hours to complete
Week 3 - Canvas, drawing, timers
Create a canvas in Python, learn how to draw on the canvas, create a digital stopwatch
4 hours to complete
7 videos (Total 71 min), 4 readings, 3 quizzes
Reviews
TOP REVIEWS FROM AN INTRODUCTION TO INTERACTIVE PROGRAMMING IN PYTHON (PART 1)
by VLMay 28, 2017
The best python course i ever had thanks to the teachers therereally awesome, and the classes are very pleasant. if your aout there trying to start with programming, i definitely recommend this course
by HJSep 18, 2017
The course is well structured but goes very (too?) fast... I spent so much more hours than indicated to do the practice exercises and the mini projects. Difficult to manage if you have a full time job
by GVApr 24, 2020
it is really a good, and interesting course offered by coursers. the teaching staff and the proffers exp land in a detailed and understandable way and made the course essay to understand and workout.
by VMJul 9, 2018
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.
About the Fundamentals of Computing Specialization
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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