Functional Programming in Python 3

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Gerald Britton

1:27:48

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1. Course Overview

1. Course Overview.mp4

02:06

2. Introduction to Functional Programming

1. Introducing Functional Programming.mp4

01:10

2. Reviewing Current Programming Paradigms.mp4

02:04

3. Learning the History of FP.mp4

02:04

4. Getting Motivated!.mp4

00:46

5. Understanding the Principles of FP.mp4

02:38

6. Summarizing this Module.mp4

00:48

3. Reaching Higher with First Class Functions

1. Introducing Pure Functions.mp4

00:52

2. Module Overview.mp4

00:40

3. Demo 1 - Walking Through the Working Example.mp4

01:59

4. Understanding Higher Order Functions.mp4

03:27

5. Demo 1 - Using Higher Order Functions.mp4

02:45

6. Summarizing This Module.mp4

01:07

4. Eliminating Side Effects with Pure Functions

1. Introducing Pure Functions.mp4

00:36

2. Coming up in This Module.mp4

02:45

3. Demo 1 - Add a Function to Expedite Orders.mp4

02:54

4. Demo 2 - Purify the Functions.mp4

02:54

5. Sidebar on Lamdas vs. Helper Functions.mp4

02:06

6. Summarizing This Module.mp4

00:52

5. Reducing Data Errors with Immutable Variables

1. Introducing Immutability.mp4

01:54

2. Trouble in Mutable Town.mp4

01:32

3. Demo 1 - Add Backorder Notification.mp4

04:52

4. Demo 2 - Mark Order Items as Backordered.mp4

06:29

5. Demo 3 - Using Python Dataclasses.mp4

00:41

6. Summarizing This Module.mp4

01:25

6. Avoiding Unnecessary Work Using Lazy Evaluation

1. Introducing Lazy Evaluataion.mp4

00:38

2. Eager vs. Lazy Evaluation.mp4

01:31

3. Lazy Evaluation in Python.mp4

01:40

4. Demo 1 - Use Lazy Evaluation to Add a New Function.mp4

02:19

5. Demo 2 - Checking Generator Pros and Cons.mp4

01:31

6. Summarizing This Module.mp4

00:59

7. Replacing Iteration with Recursion

1. Introducing Recursion.mp4

00:34

2. Reviewing the Foundations of Recursion.mp4

02:07

3. Demo 1 - Adding Numbers Using Recursion.mp4

01:02

4. Learning About Tail Recursion.mp4

00:46

5. Demo 2 - Adding Numbers Using Tail Recursion.mp4

01:50

6. Hitting the Trampoline.mp4

00:52

7. Demo 3 - Fibonacci on the Trampoline.mp4

02:02

8. Demo 4 - Finding Employees Using Trampoling.mp4

02:19

9. Summarizing This Module.mp4

01:15

8. Eliminating Procedural Code with Pattern Matching

1. Introducing Pattern Matching.mp4

01:06

2. Matching in Other Languages.mp4

01:45

3. Demo 1 - Matching in Legacy Python.mp4

01:55

4. Outlining the Python Match Statement.mp4

00:56

5. Demo 2 - The Power of Structural Pattern Matching.mp4

04:15

6. Demo 3 - Using Matching to Validate Arguments.mp4

01:17

7. Summarizing this Module.mp4

00:35

9. Summary

1. Highlighting Functional Principles.mp4

03:08

Description

This course will show you how to use functional programming (FP) in Python. You’ll learn what FP is, why it is an attractive alternative to other paradigms, how to write Pythonic functional code, and how to use FP in a business setting.

What You'll Learn?

Perhaps you are a seasoned Python programmer and have heard all the fuss about functional programming. Or maybe you're coming to Python from a functional language like Haskell, Scala, or F#, and you're wondering how to work in a language that seems to lack the things you take for granted in your favorite language. In this course, Functional Programming in Python 3, you’ll learn to apply the principles of functional programming (FP) using Python. First, you’ll explore the concepts of FP, including first class functions, pure functions, immutability and lazy evaluation, and FP’s relationship to other programming paradigms. Next, you’ll discover how to implement those concepts in Python, for example, by writing stateless functions and using immutable variables.. Finally, you’ll learn how to apply FP in a typical order processing system. When you’re finished with this course, you’ll have the skills and knowledge of functional programming in Python needed to develop and support FP Python in business settings.

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Python

Functional Programming

Gerald Britton

Instructor's Courses

Gerald Britton is a Pluralsight author and expert on Python programming practices and Microsoft SQL Server development and administration. A multiple-year of the Microsoft MVP award, Gerald has led introductory classes in Python and SQL for industry-sponsored events at Ryerson University, Toronto and the University of Toronto (his alma mater).

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.