Programming in Python

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Programming in Python

This course is part of multiple programs.

Instructor: Taught by Meta Experts

152,000 already enrolled

Included with

5 modules

Gain insight into a topic and learn the fundamentals.

1,819 reviews

Beginner level

Recommended experience

Flexible schedule

5 weeks at 10 hours a week

Learn at your own pace

94%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

1,819 reviews

Beginner level

Recommended experience

Flexible schedule

5 weeks at 10 hours a week

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

Category: Development Environment
Category: Data Structures
Category: Unit Testing
Category: Programming Principles
Category: Cloud Hosting
Category: Test Driven Development (TDD)
Category: Debugging
Category: Computer Programming
Category: Object Oriented Programming (OOP)
Category: Software Testing

Tools you'll learn

Category: Django (Web Framework)
Category: Python Programming
Category: Integrated Development Environments

Details to know

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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 assignment

19 videos Total 89 minutes

Introduction to the Course 3 minutes
How is Python used in the real world? 2 minutes
Introduction to Programming 4 minutes
Why Python? 2 minutes
Environment check for Windows 3 minutes
Environment check for Mac 4 minutes
Running code - Command line VS IDE 4 minutes
Python syntax, spaces matter 4 minutes
Variables 7 minutes
Basic data types 7 minutes
Strings 5 minutes
Type casting 3 minutes
User input, console output 9 minutes
Math and logical operators 8 minutes
Control flow: If / else, else if 7 minutes
Match statement 6 minutes
Looping constructs 6 minutes
Nested loops and the effect on algorithmic complexity 6 minutes
Module summary: Getting started with Python 1 minute

17 readings Total 135 minutes

Course syllabus 5 minutes
How to be successful in this course 10 minutes
Visual Studio Code 5 minutes
Installing Python paths (Optional for Windows Users) 5 minutes
Installing Python paths (Optional for Mac users) 5 minutes
Required dependencies 5 minutes
Python syntax cheat sheet 0 minutes
Commenting code 5 minutes
Basic Data type and Function Cheatsheet 10 minutes
Type casting, a deeper look 10 minutes
Additional resources 5 minutes
Conditional statements 15 minutes
Looping Constructs: Practical Examples 5 minutes
Practicing control flow and loops 5 minutes
Exercise: Use control flow and loops to solve a problem 30 minutes
Use control flow and loops to solve a problem - solution 10 minutes
Additional resources 5 minutes

3 assignments Total 60 minutes

Knowledge check - Welcome to Python Programming 20 minutes
Self-review: Use control flow and loops to solve a problem 10 minutes
Module quiz: Getting started with Python 30 minutes

1 programming assignment Total 180 minutes

Type casting input 180 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 videos Total 58 minutes

Functions 5 minutes
Variable scope 5 minutes
Lists 5 minutes
Tuples 3 minutes
Sets 5 minutes
Dictionaries 7 minutes
kwargs 3 minutes
What are exceptions 2 minutes
Exception handling 5 minutes
File handling in Python 5 minutes
Creating Files 5 minutes
Reading Files 5 minutes
Module summary: Basic Programming with Python 2 minutes

9 readings Total 120 minutes

Function and variable scope 15 minutes
What are data structures? 10 minutes
Choosing and using data structures 15 minutes
Visual Studio Code on Coursera 10 minutes
Additional resources 5 minutes
Exercise: Exceptions in Python 30 minutes
Exceptions in Python - solution 10 minutes
Storing file contents in data structures 20 minutes
Additional resources 5 minutes

5 assignments Total 80 minutes

Functions, loops and data structures 15 minutes
Knowledge check: Functions and Data structures 15 minutes
Exceptions in Python 10 minutes
Read in data, store, manipulate and output new data to a file 15 minutes
Module quiz: Basic Programming with Python 25 minutes

2 programming assignments Total 360 minutes

Functions, loops and data structures 180 minutes
Read in data, store, manipulate and output new data to a file 180 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 videos Total 75 minutes

What is procedural programming? 4 minutes
Algorithms 5 minutes
Algorithmic complexity 3 minutes
What is functional programming? 4 minutes
Pure functions 7 minutes
Recursion 4 minutes
Reversing a string on Python 5 minutes
Map & filter 5 minutes
Introduction to Object Oriented Programming 6 minutes
Python classes and instances 5 minutes
Instantiate a custom Object 5 minutes
Instance methods 5 minutes
Parent classes vs. child classes 6 minutes
Abstract classes and methods 4 minutes
Method Resolution Order 5 minutes
Module summary: Programming paradigms 2 minutes

19 readings Total 330 minutes

Writing Algorithms 20 minutes
Exercise: Make a cup of coffee 10 minutes
Make a cup of coffee - solution 10 minutes
Intro to Big-O notation 15 minutes
Additional resources 5 minutes
Recursion example: Tower of Hanoi 10 minutes
Comprehensions 30 minutes
Additional resources 5 minutes
OOP Principles 20 minutes
Exercise: Define a Class 30 minutes
Define a Class - solution 10 minutes
Exercise: Instantiate a custom Object 30 minutes
Instantiate a custom Object - solution 10 minutes
Inheritance and Multiple Inheritance 30 minutes
Exercise: Classes and object exploration 30 minutes
Working with Methods: Examples 20 minutes
Exercise: Working with Methods 30 minutes
Working with Methods - solution 10 minutes
Additional resources 5 minutes

9 assignments Total 127 minutes

Self-review: Make a cup of coffee 10 minutes
Knowledge check: Procedural Programming 12 minutes
Mapping key values to dictionary data structures 12 minutes
Knowledge check: Functional Programming 12 minutes
Self-review: Define a Class 12 minutes
Self-review: Instantiate a custom Object 12 minutes
Abstract classes and methods 15 minutes
Self-review: Working with Methods 18 minutes
Module quiz: Programming Paradigms 24 minutes

2 programming assignments Total 360 minutes

Mapping key-values to Dictionary data structures 180 minutes
Abstract Classes and Methods 180 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 videos Total 73 minutes

What is a module in Python? 5 minutes
Accessing modules 4 minutes
The import statement 5 minutes
Writing import statements 5 minutes
Namespacing and scoping 7 minutes
reload() function 4 minutes
Popular packages: NumPy, pandas, Matplotlib, etc 4 minutes
Data analysis packages 4 minutes
Machine learning, deep learning and AI: PyTorch, TensorFlow 3 minutes
Python web frameworks 4 minutes
What is testing? 5 minutes
Types of testing 5 minutes
Test automation packages 4 minutes
Writing tests with PyTest 5 minutes
Test-driven development (TDD) 3 minutes
Applying TDD 4 minutes
Module summary: Modules, packages, libraries and tools 3 minutes

7 readings Total 105 minutes

Module Use-cases 30 minutes
Additional resources 5 minutes
Popular Packages: Examples 30 minutes
Big Data and Analysis with Python 15 minutes
Additional Resources 10 minutes
PyTest cheat sheet 10 minutes
Additional resources 5 minutes

4 assignments Total 72 minutes

Knowledge check: Modules 18 minutes
Knowledge check: Popular Packages, Libraries and Frameworks 15 minutes
Testing quiz 15 minutes
Module quiz: Modules, packages, libraries and tools 24 minutes

2 programming assignments Total 360 minutes

Import and Scope 180 minutes
Writing PyTest Test Cases for String Validation 180 minutes

1 discussion prompt Total 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 videos Total 4 minutes

Course Recap: Programming in Python 2 minutes
Congratulations, you have completed Programming in Python 2 minutes

2 readings Total 10 minutes

About the End-of-Course Graded Assessment 5 minutes
Next steps after Programming in Python 5 minutes

1 assignment Total 45 minutes

End-of-Course Graded Assessment: Using Python 45 minutes

2 discussion prompts Total 20 minutes

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

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Instructor

Instructor ratings

(533 ratings)

Taught by Meta Experts

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Learner reviews

5 stars
74.12%
4 stars
18.18%
3 stars
4.17%
2 stars
1.70%
1 star
1.81%

Showing 3 of 1819

Reviewed on Dec 8, 2022

This course is good well detailed and elaborate, the labs are challenging but worth the hard-work put into it for success. I recommend it for anyone who needs to learn python programming.

Reviewed on Jul 12, 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

Reviewed on Dec 23, 2024

Overall, the course is well formed and structured and touched all-important of the language. There are several errors in the course video and questions, notes etc. though.

Frequently asked questions

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When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.