This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook "Fundamentals of Python Programming," which is the accompanying text (optional and free) for this course.
Este curso forma parte de Programa especializado: Python 3 Programming
Acerca de este Curso
Universidad de Míchigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
- 5 stars83,74 %
- 4 stars14,08 %
- 3 stars1,36 %
- 2 stars0,33 %
- 1 star0,46 %
Principales reseñas sobre PYTHON BASICS
This is best introductory programming course in python. Mentors are planting every concept in our head in very fluent ways. You must take take this course as a begineer python programmer like me.
Didn't expected this course to be beginner friendly as many courses out there aren't.
This course really helped me improve my Python. From lectures to assignments everything was praise worthy.
Overall a good course but not as thorough as I'd hoped. I do not consider myself as understanding Python3 very well but it's a good introductory course to learning what code is and how it runs.
Nice, Happy after learning some basics.
The teachers were awesome, they built this course nicely so everyone can understand so smoothly.
I can say , I understand all those things better :)
Acerca de Programa especializado: Python 3 Programming
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
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