Python 3 Programming

Python 3 Programming by University of Michigan

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Created by University of Michigan Staff Last updated Tue, 01-Mar-2022 English


Python 3 Programming free videos and free material uploaded by University of Michigan Staff .

Syllabus / What will i learn?

Course 1: Python Basics
- Offered by University of Michigan. This course introduces the basics of Python 3, including conditional execution and iteration as control ... Enroll for free.

Course 2: Python Functions, Files, and Dictionaries
- Offered by University of Michigan. This course introduces the dictionary data structure and user-defined functions. You’ll learn about local ... Enroll for free.

Course 3: Data Collection and Processing with Python
- Offered by University of Michigan. This course teaches you to fetch and process data from services on the Internet. It covers Python list ... Enroll for free.

Course 4: Python Classes and Inheritance
- Offered by University of Michigan. This course introduces classes, instances, and inheritance. You will learn how to use classes to ... Enroll for free.

Course 5: Python Project: pillow, tesseract, and opencv
- Offered by University of Michigan. This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to ... Enroll for free.



Curriculum for this course
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Description

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. You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work. By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python. But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.

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