Python Lambdas Deep Dive (The Course)
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Course Info

This course includes 3 attempts.

"I Hate These Stupid Lambda Functions in Python!"

  • Have you ever found yourself expressing emotional statements like this in regards to Python's lambda functions?
  • Do you want to understand functional programming but you simply cannot wrap your head around the difficult syntax?
  • Do you already know another programming language like Java, Javascript, or C++ but you suspect that every professional Python coder will quickly spot that you're not writing Pythonic code?

If you answered any of the previous questions with YES!, this course is for you.

Functional Programming == The Swiss-Army Knife of Python Programming


Every master coder uses functional programming to code faster, smarter, and better.

Do you want to master Python? Take this deep dive and master Lambdas to write effective, functional, and Pythonic code!

How This Course is Organized

The first part of the course consists of 9 lessons. In each lesson, you will learn a piece of the theory of lambda functions in a video.

Each lesson ends with a quiz so that you can check if you understood the lesson.

In the second part it's your turn: In 5 practical exercises, you'll apply your learned knowledge and check your solution against the provided ones.

Table of Contents:

  1. Overview
  2. Applications min() and max()
  3. Parameterless Lambdas
  4. Map Function and Lambdas
  5. Stacking Lambdas
  6. The Filter Function
  7. If-Else Loops
  8. Customize Sort()

What Is A Lambda Function Anyways?

A lambda function is an anonymous function in Python. It starts with the keywordlambda, followed by a comma-separated list of zero or more arguments, followed by the colon and the return expression. For example, lambda x, y, z: x+y+z would calculate the sum of the three argument values x+y+z.

Well, take the course to find out! ?


Course Material

  • Table of Contents
  • Introduction
  • Programming Environments
  • Lesson 1: Basics
  • Basics
  • Quiz
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    Quiz 11 attempt allowed
  • Lesson 2: How to Use Lambdas?
  • How to Use Lambdas
  • Quiz
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    Quiz 21 attempt allowed
  • Lesson 3: Parameters of Lambda Functions
  • Parameters of Lambda Functions
  • Quiz
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    Quiz 31 attempt allowed
  • Lesson 4: Lambdas in the Map Function
  • Lambdas in the Map Function
  • Quiz
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    Quiz 41 attempt allowed
  • Lesson 5: Stacking Lambdas
  • Stacking Lambdas
  • Quiz
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    Quiz 51 attempt allowed
  • Lesson 6: Lambdas in the Filter Function
  • Lambdas in the Filter Function
  • Quiz
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    Quiz 61 attempt allowed
  • Lesson 7: Complex Lambdas with Condition
  • Complex Lambdas with Condition
  • Quiz
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    Quiz 71 attempt allowed
  • Lesson 8: Lambdas in the Sorted Function
  • Lambdas in the Sorted Function
  • Quiz
  • icon/quiz Created with Sketch.
    Quiz 81 attempt allowed
  • Lesson 9: Summary and Conclusion
  • Summary and Conclusion
  • Quiz
  • icon/quiz Created with Sketch.
    Quiz 91 attempt allowed
  • Exercises
  • Exercise 1
  • Exercise 2
  • Exercise 3
  • Exercise 4
  • Exercise 5
  • Solutions
  • Solution 1
  • Solution 2
  • Solution 3
  • Solution 4
  • Solution 5


    • I love coding and espacially in Python! Python is easy to learn and at the same time it is very powerful. Through the books I would like to help you to discover this! Therefore we designed our puzzle based teaching approach which helps you to learn quickly what you really need and with fun.

      I have been working as a Software developer for several years. Currently I'm in the field of operations/SRE of cloud applications.

    • Chris is the founder of the programming education company FINXTER, author of the Coffee Break Python series of self-published books, the popular programming book Python One-Liners (NoStarch 2020), a doctorate computer scientist, and owner of one of the top 10 Python blogs worldwide.

      His research interests include graph theory and distributed systems.

      You can join the FINXTER email academy and consume a large body of free email courses about various topics in computer science and programming.

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