Functional Python

Treehouse

Course Summary

Functional programming is a great addition to any programmer's toolset. FP allows you to quickly filter lists, modify values, find answers, and other repetitious tasks with less code than other approaches.

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Course Description
About this Course Functional programming is a great addition to any programmer's toolset. FP allows you to quickly filter lists, modify values, find answers, and other repetitious tasks with less code than other approaches. What you'll learn
- Sorting lists by arbitrary attributes
- Filter, map, and reduce
- Lambdas
About the Teacher
Besides teaching Python at Treehouse, Kenneth Love is a husband & father. He created a few popular Python libraries, worked at most levels of the web stack, & was the Creative Director of a newspaper. He likes board games, whiskey, activism, & dry humor.

Course Description

About this Course Functional programming is a great addition to any programmer's toolset. FP allows you to quickly filter lists, modify values, find answers, and other repetitious tasks with less code than other approaches. What you'll learn

Sorting lists by arbitrary attributes
Filter, map, and reduce
Lambdas

About the Teacher
Besides teaching Python at Treehouse, Kenneth Love is a husband & father. He created a few popular Python libraries, worked at most levels of the web stack, & was the Creative Director of a newspaper. He likes board games, whiskey, activism, & dry humor.

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Course Syllabus
Functional Rules
A lot of the power of functional programming comes from following some simple rules and best practices. Let's go over those so we can know what to do and what to avoid. 7 steps
- What is Functional Programming? 1:57
- Core Concepts 2:35
- Review: Core Concepts 5 questions
- Things Not To Do 7:31
- Review: Bad Practices 5 questions
- What We're Going to Work With 5:34
- First-Class Functions 1 objective
Functional Workhorses
Now that we know the rules of functional programming, let's meet the tools we'll use the most. We'll also see how each of these utilities helps us stick to the rules of functional programming better. 12 steps
- Sorting 8:08
- Sorting 2 objectives
- attrgetter 1 objective
- Map 6:35
- Map 2 objectives
- Map Comprehension 2 objectives
- Filter 5:09
- Filter 2 objectives
- Filter comprehension 1 objective
- Chaining Functions 6:49
- Map and Filter 3 objectives
- Map and Filter Comprehension 1 objective
The Lambda Lambada
Functional programming is home to a couple of odd but very useful utilities that you should know about. You might not use these items every day, but when you need them, you'll be very happy to have them. 11 steps
- Reduce 9:30
- Reduce 4 objectives
- Recursion 1 objective
- Lambda 4:37
- Lambda 1 objective
- Lambda 2 1 objective
- Partials 4:53
- Partial 4 objectives
- Currying 5:19
- Let's Wrap Up 0:28
- Review: Functional Python 8 questions