Programming in Python

Programming in Python

This course is part of multiple programs.

Instructor: Taught by Meta Staff

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113,570 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

4.6

(1,604 reviews)

Beginner level

Recommended experience

Flexible schedule

Approx. 44 hours

Learn at your own pace

94%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

4.6

(1,604 reviews)

Beginner level

Recommended experience

Flexible schedule

Approx. 44 hours

Learn at your own pace

94%

Most learners liked this course

What you'll learn

Foundational programming skills with basic Python Syntax.
How to use objects, classes and methods.

Skills you'll gain

Details to know

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Add to your LinkedIn profile

Assessments

22 assignments

Taught in English

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There are 5 modules in this course

In this course, you will be introduced to foundational programming skills with basic Python Syntax. You’ll learn how to use code to solve problems. You’ll dive deep into the Python ecosystem and learn popular modules, libraries and tools for Python.

You’ll also get hands-on with objects, classes and methods in Python, and utilize variables, data types, control flow and loops, functions and data structures. You’ll learn how to recognize and handle errors and you’ll write unit tests for your Python code and practice test-driven development. By the end of this course, you will be able to: • Prepare your computer system for Python programming • Show understanding of Python syntax and how to control the flow of code • Demonstrate knowledge of how to handle errors and exceptions • Explain object-oriented programming and the major concepts associated with it • Explain the importance of testing in Python, and when to apply particular methods This is a beginner course for learners who would like to prepare themselves for a career in back-end development or database engineering. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.

Get started with the Python programming language and associated foundational concepts.

What's included

19 videos17 readings3 assignments1 programming assignment1 discussion prompt

19 videosTotal 88 minutes

Introduction to the Course2 minutesPreview module
How is Python used in the real world?2 minutes
Introduction to Programming4 minutes
Why Python?2 minutes
Environment check for Windows2 minutes
Environment check for Mac3 minutes
Running code - Command line VS IDE3 minutes
Python syntax, spaces matter3 minutes
Variables6 minutes
Basic data types6 minutes
Strings5 minutes
Type casting2 minutes
User input, console output8 minutes
Math and logical operators7 minutes
Control flow: If / else, else if6 minutes
Switch statement6 minutes
Looping constructs5 minutes
Nested loops and the effect on algorithmic complexity5 minutes
Module summary: Getting started with Python1 minute

17 readingsTotal 135 minutes

Course syllabus5 minutes
How to be successful in this course10 minutes
Visual Studio Code5 minutes
Installing Python paths (Optional for Windows Users)5 minutes
Installing Python paths (Optional for Mac users)5 minutes
Required dependencies5 minutes
Python syntax cheat sheet0 minutes
Commenting code5 minutes
Basic Data type and Function Cheatsheet10 minutes
Type casting, a deeper look10 minutes
Additional resources5 minutes
Conditional statements15 minutes
Looping Constructs: Practical Examples5 minutes
Practicing control flow and loops5 minutes
Exercise: Use control flow and loops to solve a problem30 minutes
Use control flow and loops to solve a problem - solution10 minutes
Additional resources5 minutes

3 assignmentsTotal 60 minutes

Knowledge check - Welcome to Python Programming20 minutes
Self-review: Use control flow and loops to solve a problem10 minutes
Module quiz: Getting started with Python30 minutes

1 programming assignmentTotal 180 minutes

Type casting input180 minutes

1 discussion promptTotal 10 minutes

What do you hope to learn?10 minutes

Learn basic Python syntax, to use control flow and loops and work with functions and data structures. You will also learn how to recognise possible errors, their causes and how to handle them.

What's included

13 videos9 readings5 assignments2 programming assignments

13 videosTotal 57 minutes

Functions5 minutesPreview module
Variable scope4 minutes
Lists5 minutes
Tuples3 minutes
Sets4 minutes
Dictionaries6 minutes
kwargs2 minutes
What are exceptions2 minutes
Exception handling4 minutes
File handling in Python5 minutes
Creating Files5 minutes
Reading Files5 minutes
Module summary: Basic Programming with Python1 minute

9 readingsTotal 120 minutes

Function and variable scope15 minutes
What are data structures?10 minutes
Choosing and using data structures15 minutes
Visual Studio Code on Coursera10 minutes
Additional resources5 minutes
Exercise: Exceptions in Python30 minutes
Exceptions in Python - solution10 minutes
Storing file contents in data structures20 minutes
Additional resources5 minutes

5 assignmentsTotal 80 minutes

Functions, loops and data structures15 minutes
Knowledge check: Functions and Data structures15 minutes
Exceptions in Python10 minutes
Read in data, store, manipulate and output new data to a file15 minutes
Module quiz: Basic Programming with Python25 minutes

2 programming assignmentsTotal 360 minutes

Functions, loops and data structures180 minutes
Read in data, store, manipulate and output new data to a file180 minutes

Learn about the paradigms of procedural programming and the associated logical concepts. You'll explore functional and object-oriented programming, and get an introduction to algorithms.

What's included

16 videos19 readings9 assignments2 programming assignments

16 videosTotal 74 minutes

What is procedural programming?4 minutesPreview module
Algorithms5 minutes
Algorithmic complexity3 minutes
What is functional programming?3 minutes
Pure functions6 minutes
Recursion3 minutes
Reversing a string on Python4 minutes
Map & filter4 minutes
Introduction to Object Oriented Programming5 minutes
Python classes and instances4 minutes
Instantiate a custom Object4 minutes
Instance methods4 minutes
Parent classes vs. child classes6 minutes
Abstract classes and methods4 minutes
Method Resolution Order5 minutes
Module summary: Programming paradigms2 minutes

19 readingsTotal 330 minutes

Writing Algorithms20 minutes
Exercise: Make a cup of coffee10 minutes
Make a cup of coffee - solution10 minutes
Intro to Big-O notation15 minutes
Additional resources5 minutes
Recursion example: Tower of Hanoi10 minutes
Comprehensions30 minutes
Additional resources5 minutes
OOP Principles20 minutes
Exercise: Define a Class30 minutes
Define a Class - solution10 minutes
Exercise: Instantiate a custom Object30 minutes
Instantiate a custom Object - solution10 minutes
Inheritance and Multiple Inheritance30 minutes
Exercise: Classes and object exploration30 minutes
Working with Methods: Examples20 minutes
Exercise: Working with Methods30 minutes
Working with Methods - solution10 minutes
Additional resources5 minutes

9 assignmentsTotal 128 minutes

Self-review: Make a cup of coffee10 minutes
Knowledge check: Procedural Programming12 minutes
Mapping key values to dictionary data structures12 minutes
Knowledge check: Functional Programming12 minutes
Self-review: Define a Class12 minutes
Self-review: Instantiate a custom Object12 minutes
Abstract classes and methods15 minutes
Self-review: Working with Methods18 minutes
Module quiz: Programming Paradigms25 minutes

2 programming assignmentsTotal 360 minutes

Mapping key-values to Dictionary data structures 180 minutes
Abstract Classes and Methods180 minutes

Supercharge your coding environment with popular modules libraries and tools for Python. You'll also learn about the different types of testing and how to write a test.

What's included

17 videos7 readings4 assignments2 programming assignments1 discussion prompt

17 videosTotal 73 minutes

What is a module in Python?4 minutesPreview module
Accessing modules3 minutes
The import statement4 minutes
Writing import statements5 minutes
Namespacing and scoping7 minutes
reload() function4 minutes
Popular packages: NumPy, pandas, Matplotlib, etc4 minutes
Data analysis packages4 minutes
Machine learning, deep learning and AI: PyTorch, TensorFlow2 minutes
Python web frameworks3 minutes
What is testing?5 minutes
Types of testing4 minutes
Test automation packages4 minutes
Writing tests with PyTest4 minutes
Test-driven development (TDD)3 minutes
Applying TDD3 minutes
Module summary: Modules, packages, libraries and tools2 minutes

7 readingsTotal 105 minutes

Module Use-cases30 minutes
Additional resources5 minutes
Popular Packages: Examples30 minutes
Big Data and Analysis with Python15 minutes
Additional Resources10 minutes
PyTest cheat sheet10 minutes
Additional resources5 minutes

4 assignmentsTotal 72 minutes

Knowledge check: Modules18 minutes
Knowledge check: Popular Packages, Libraries and Frameworks15 minutes
Testing quiz15 minutes
Module quiz: Modules, packages, libraries and tools24 minutes

2 programming assignmentsTotal 360 minutes

Import and Scope180 minutes
Write a test180 minutes

1 discussion promptTotal 10 minutes

What do you consider to be the difference between machine learning and AI?10 minutes

Practice and reflect on the skills you learned in this course.

What's included

2 videos2 readings1 assignment2 discussion prompts

2 videosTotal 3 minutes

Course Recap: Programming in Python1 minutePreview module
Congratulations, you have completed Programming in Python1 minute

2 readingsTotal 10 minutes

About the End-of-Course Graded Assessment5 minutes
Next steps after Programming in Python5 minutes

1 assignmentTotal 45 minutes

End-of-Course Graded Assessment: Using Python45 minutes

2 discussion promptsTotal 20 minutes

Discuss challenges that you had with your fellow learners10 minutes
What did you find most challenging about learning to program in Python?10 minutes

Instructor

Instructor ratings

4.7 (483 ratings)

Taught by Meta Staff

Offered by

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Learner reviews

4.6

1,604 reviews

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Showing 3 of 1604

Reviewed on Jul 30, 2022

Great course, while taking it, i was also a python college course. This course helped to provide a more indepth understanding of the concepts I was learning

Reviewed on Jun 22, 2024

This course offered a wide range of python programming in a very structured, clear and concise manner. It was easy to grasp the concepts to its very core. Thank you to all the teachers!

Reviewed on Jul 13, 2023

Excellent course. A true beginner might feel that the course is fast-paced. You can use Google and Youtube to get more explanations, exercises, and lessons.This is what I did.Good luck everyone

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