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Programming for Everybody (Getting Started with Python)

Approx. 19 hours to complete

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Course Summary

Learn the fundamentals of Python programming language, including data structures, control flow, functions, and object-oriented programming. This course is perfect for beginners who want to start coding in Python.

Key Learning Points

Learn the basics of Python programming language
Understand data structures, control flow, functions, and object-oriented programming
Gain practical experience by writing Python programs

Learning Outcomes

Understand the basics of Python programming language
Write Python programs using data structures, control flow, functions, and object-oriented programming
Gain practical experience by writing Python programs

Prerequisites or good to have knowledge before taking this course

No prior programming experience required
Access to a computer with internet connection

Course Difficulty Level

Beginner

Course Format

Online self-paced course
Video lectures
Assignments and quizzes

Similar Courses

Python for Data Science
Python Data Structures
Python Programming Essentials

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Related Books

Description

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.

Knowledge

Install Python and write your first program
Describe the basics of the Python programming language
Use variables to store, retrieve and calculate information
Utilize core programming tools such as functions and loops

Outline

Chapter One - Why we Program?
Video: Welcome to Class - Dr. Chuck
Video: Welcome to Python - Guido van Rossum
1.1 - Why Program
1.2 - Hardware Overview
1.3 - Python as a Language
Fun: The Textbook Authors Meet @PyCon2015
Face to Face Office Hours - Bengaluru, India
Reading: Welcome to The Class
Help Us Learn More About You!
Welcome to Python 3
Textbook: Python for Everybody: Exploring Data in Python 3
Submitting Assignments
Audio Versions of All Lectures

Installing and Using Python
Demonstration: Using the Python Playground
Windows 10: Installing Python and Writing A Program
Windows: Taking Screen Shots
Macintosh: Using Python and Writing A Program
Macintosh: Taking Screen Shots
Bonus: Eben Upton and the RaspBerry Pi
Important Reading: Using Python in this Class
Notes on Choice of Text Editor
Notice for Auditing Learners: Assignment Submission

Chapter One: Why We Program (continued)
1.4 - Writing Paragraphs of Code
Demonstration: Doing the "Hello World" Assignment
Interview: Daphne Koller - Building Coursera
Face-to-Face Office Hours: Milan, Italy
Chapter 1

Chapter Two: Variables and Expressions
2.1 - Expressions
2.2 - Expressions Part 2
2.3 - Expressions - Part 3
Worked Exercise: 2.3
Interview: Pooja Sankar - Building Piazza
Office Hours: Mountain View, CA
Where is the worked exercise for Assignment 2.2?
Chapter 2

Chapter Three: Conditional Code
3.1 Conditional Statements
3.2 More Conditional Statements
Worked Exercise: 3.2
Interview: Massimo Banzi: The Arduino
Office Hours: Seoul Korea
Chapter 3

Chapter Four: Functions
4.1 - Using Functions
4.2 - Building Functions
Interview: Guido van Rossum: The Early Years of Python
Office Hours: Manila Philippines
Chapter 4

Chapter Five: Loops and Iteration
5.1 - Loops and Iteration
5.2 - Definite Loops
5.3 - Finding the Largest Value
5.4 - Loop Idioms
Worked Exercise: 5.1
What's Next - Dr.Chuck
Interview: Guido van Rossum - The Modern Era of Python
Office Hours: Paris, France
Please Rate this Course on Class-Central
Post-Course Survey
Keep Learning with Michigan Online
Chapter 5

Summary of User Reviews

Discover the fundamentals of Python programming and gain valuable skills for your future career. Students praise this course's comprehensive approach and practical exercises, which make it easy to learn and apply new concepts.

Key Aspect Users Liked About This Course

Many users appreciate the hands-on approach of the course and find the practical exercises to be very helpful.

Pros from User Reviews

Comprehensive approach to learning Python
Hands-on exercises that help reinforce concepts
Engaging lectures from knowledgeable instructors
Flexible schedule and self-paced learning
Great for beginners and experienced programmers alike

Cons from User Reviews

Some users found the course to be too basic or slow-paced
Limited interaction with instructors or other students
Some materials or instructions may be outdated
Not enough emphasis on real-world applications
Some users experienced technical difficulties with the platform

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