Python Functional Programming Course

Functional Programming Course Overview

Table of Contents

• Content
• Standards
• Aspects
  • 👶 Introduction
  • 💪 Workout
  • 🦑 Deep
  • ✨ New
  • 🔮 Obscura

Content

Below you can find the ordered content of the topic, in a linear progression

The linear progression of content aims to cover all content, course by course, workout by workout as follows:

• first course is the only core one, denoted by its manifest
• the next course is denoted by the first item of the next array in each course manifest
• each course has its order of workouts designated by the sections field in the same aforementioned manifest

1. arrays-i

Insights:

no	name	content	aspects	standards	PQ	RQ	Quiz	done
1	the-slice-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	use-iteration-protocol.1: 10	✅	✅	✅	✅
2	the-reversed-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	use-iteration-protocol.1: 10	✅	✅	❌	✅
3	the-zip-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	use-iteration-protocol.1: 10	✅	✅	❌	✅
4	the-sum-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	use-iteration-protocol.1: 10	✅	✅	❌	✅
5	the-all-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	use-iteration-protocol.1: 10	✅	✅	❌	✅

Exercises:

no	name	type	aspects	standards	done
1	py-practice-functional-features	codewars	👶 introduction 💪 workout 🦑 deep	functional-programming-features.0: 3000 use-iteration-protocol.1: 10	✅

Game:

⚠️ There is no game in this workout.

2. arrays-ii

Insights:

no	name	content	aspects	standards	PQ	RQ	Quiz	done
1	the-map-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	data-structures-uses.0: 10 data-structures-uses.1: 10 native-types-operations.3: 10 use-iteration-protocol.1: 10	✅	✅	❌	✅
2	the-filter-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	data-structures-uses.0: 10 data-structures-uses.1: 10 native-types-operations.3: 10 use-iteration-protocol.1: 10	✅	✅	❌	✅
3	the-reduce-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	data-structures-uses.0: 10 data-structures-uses.1: 10 native-types-operations.3: 10 use-iteration-protocol.1: 10	✅	✅	❌	✅
4	the-max-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	data-structures-uses.0: 10 data-structures-uses.1: 10 native-types-operations.3: 10 use-iteration-protocol.1: 10	✅	✅	❌	✅
5	the-sorted-built-in-function	✅	👶 introduction 💪 workout 🦑 deep	data-structures-uses.0: 10 data-structures-uses.1: 10 native-types-operations.3: 10 use-iteration-protocol.1: 10	✅	✅	❌	✅

Exercises:

⚠️ There are no insights in this workout.

Game:

⚠️ There is no game in this workout.

3. comprehension

Insights:

no	name	content	aspects	standards	PQ	RQ	Quiz	done
1	list-comprehension	✅	👶 introduction 💪 workout 🦑 deep	use-iteration-protocol.1: 10 native-types-operations.4: 10 use-comprehensions.0: 1000 use-comprehensions.2: 3000	✅	✅	❌	✅
2	nested-lists-comprehension	✅	👶 introduction 💪 workout 🦑 deep	use-iteration-protocol.1: 10 native-types-operations.4: 10	✅	✅	❌	✅
3	set-comprehension	✅	👶 introduction	use-comprehensions.0: 1000 use-comprehensions.4: 3000 use-comprehensions.5: 3000	✅	✅	❌	✅
4	dictionary-comprehension	✅	👶 introduction 💪 workout 🦑 deep	use-comprehensions.0: 1000 use-comprehensions.3: 3000	❌	❌	❌	❌
5	speed-up-your-for-loop-using-map-or-list-comprehensions	✅	💪 workout	use-iteration-protocol.1: 10 use-comprehensions.0: 10 use-comprehensions.4: 10 use-comprehensions.5: 10	✅	✅	❌	✅

Exercises:

no	name	type	aspects	standards	done
1	py-practice-list-comprehension	codewars	👶 introduction 💪 workout 🦑 deep	use-comprehensions.0: 1000 use-comprehensions.2: 3000	✅
2	py-practice-list-comprehension2	codewars	👶 introduction 💪 workout 🦑 deep	use-comprehensions.0: 1000 use-comprehensions.1: 1000 use-comprehensions.2: 3000	✅
3	py-practice-dictionary-comprehension	codewars	👶 introduction 💪 workout 🦑 deep	use-comprehensions.0: 1000 use-comprehensions.3: 3000	✅
4	py-practice-set-comprehension	codewars	👶 introduction 💪 workout 🦑 deep	use-comprehensions.0: 1000 use-comprehensions.4: 3000 use-comprehensions.5: 3000	✅

Game:

⚠️ There is no game in this workout.

4. decorators

Insights:

no	name	content	aspects	standards	PQ	RQ	Quiz	done
1	what-is-a-closure	✅	👶 introduction 💪 workout	❌	✅	✅	❌	❌
2	what-are-decorators	✅	👶 introduction 💪 workout	❌	✅	✅	❌	❌
3	decorators-syntax	✅	👶 introduction 💪 workout	❌	✅	✅	❌	❌
4	decorators-methods	✅	👶 introduction 💪 workout	❌	✅	✅	✅	❌
5	functools-wraps	✅	💪 workout 🦑 deep	❌	✅	✅	❌	❌

Exercises:

⚠️ There are no insights in this workout.

Game:

⚠️ There is no game in this workout.

5. functional-programming

Insights:

no	name	content	aspects	standards	PQ	RQ	Quiz	done
1	what-is-functional-programming	✅	👶 introduction	❌	✅	✅	❌	❌
2	why-functional-programming	✅	👶 introduction 🔮 obscura	❌	✅	✅	❌	❌
3	is-python-a-functional-language	✅	🔮 obscura	❌	✅	✅	❌	❌
4	functional-particularities-of-python	✅	👶 introduction 🔮 obscura	❌	✅	✅	❌	❌
5	lambda-functions	✅	👶 introduction	❌	✅	✅	❌	❌

Exercises:

no	name	type	aspects	standards	done
1	py-practice-functional-features2	codewars	👶 introduction 💪 workout 🦑 deep	functional-programming-features.1: 3000	✅
2	py-practice-functional-imperative	codewars	👶 introduction 💪 workout	contrast-functional-imperative.0: 1000 contrast-functional-imperative.1: 1000	✅
3	py-practice-pure-functions	codewars	💪 workout 🦑 deep	pure-functions.1: 1000 pure-functions.2: 1000	✅

Game:

⚠️ There is no game in this workout.

6. generators

Insights:

no	name	content	aspects	standards	PQ	RQ	Quiz	done
1	what-are-generators	✅	👶 introduction	❌	❌	✅	❌	❌
2	yield-and-next	✅	👶 introduction	❌	✅	✅	❌	❌
3	recursive-generator	✅	💪 workout	❌	✅	✅	❌	❌
4	generator-of-generators	✅	👶 introduction 💪 workout	❌	✅	✅	❌	❌
5	benefits-of-using-generators	✅	🔮 obscura	❌	✅	✅	❌	❌

Exercises:

no	name	type	aspects	standards	done
1	py-practice-generators	codewars	👶 introduction 💪 workout 🦑 deep	functional-programming-features.4: 5000	✅
2	py-practice-pure-functions2	codewars	👶 introduction 💪 workout	pure-functions.1: 1000 pure-functions.2: 1000 functional-programming-features.4: 1000	✅

Game:

⚠️ There is no game in this workout.

7. immutability

Insights:

no	name	content	aspects	standards	PQ	RQ	Quiz	done
1	what-is-immutability	✅	👶 introduction 🔮 obscura	❌	✅	✅	✅	❌
2	distinguish-the-mutability-of-common-types	✅	👶 introduction 🔮 obscura	❌	✅	✅	❌	❌
3	why-types-have-immutability	✅	👶 introduction 🔮 obscura	❌	✅	✅	❌	❌
4	more-benefits-of-immutability	✅	💪 workout 🔮 obscura	❌	✅	✅	❌	❌
5	immutability-gotchas	✅	💪 workout	❌	✅	✅	✅	❌

Exercises:

⚠️ There are no insights in this workout.

Game:

⚠️ There is no game in this workout.

8. iterators

Insights:

no	name	content	aspects	standards	PQ	RQ	Quiz	done
1	what-is-an-iterable	✅	👶 introduction	❌	✅	✅	❌	❌
2	what-are-iterators	✅	👶 introduction	❌	✅	✅	❌	❌
3	the-iteration-protocol	✅	👶 introduction 💪 workout	❌	✅	✅	❌	❌
4	the-itertools-module	✅	💪 workout	❌	✅	✅	❌	❌
5	iterators-applications	✅	💪 workout	❌	✅	✅	❌	❌

Exercises:

no	name	type	aspects	standards	done
1	py-practice-functional-libraries	codewars	👶 introduction 💪 workout	pure-functions.1: 1000 pure-functions.2: 1000	✅
2	py-practice-next-iter	codewars	💪 workout 🦑 deep	use-iteration-protocol.0: 1000 use-iteration-protocol.1: 2000 use-iteration-protocol.2: 2000 use-iteration-protocol.4: 3000	✅

Game:

⚠️ There is no game in this workout.

Standards

✅ - At least one insight covers this

❌ - Nothing covers this

🛠️ - This standard has no objectives yet

❌ Contrast Functional Programming with Imperative Programming

0. ❌ Distinguish between imperative and functional code
1. ❌ Evaluate the suitability of a functional style of programming for a given task
2. ❌ Refactor iterative code into functional code

❌ Write pure functions in Python

0. ❌ Analyze a function to determine whether side effects will occur
1. ❌ Distinguish between pure and impure functions
2. ❌ Write pure functions in Python

❌ Identify and use Python’s functional programming features

0. ❌ Use python's library of built-in functions to transform data using the iterator protocol
1. ❌ Use list and dictionary comprehensions to transform data in a functional style
2. ❌ Use decorators to modularize code
3. ❌ Use decorators to handle errors in a data pipeline
4. ❌ Use generators to generate iterators

❌ Use comprehensions to transform data

0. ✅ Read python comprehensions and predict the result
1. ❌ Read complex or nested comprehension statements and predict the result
2. ❌ Use list comprehensions to iterate over and transform a list of data
3. ✅ Use dictionary comprehensions to iterate over and transform a dictionary of data
4. ✅ Use set comprehensions to iterate over and transform a set of data
5. ✅ Use nested comprehensions to transform multidimensional data

❌ Use libraries to provide extended support for functional programming

0. ❌ Recognize functional programming features not native to python
1. ❌ Use a library to provide support for immutable data structures
2. ❌ Use a library to provide support for Functors, such as Applicative Functors and Monads

Aspects

Given the insights are tagged with aspects, we can filter over the linear content progression and create learning sub-paths.

These sub-path progressions will most likely not cover all content, but they will ensure and enforce an unified learning experience, tailor for the user wish.

For example, a user might be interested in new additions and updates of a language, rather than introduction lessions. Note that these sub-paths don't take games into consideration

👶 Introduction

If you are being introduced to the topic for the first time

Insights:

1. the-slice-built-in-function
2. the-reversed-built-in-function
3. the-zip-built-in-function
4. the-sum-built-in-function
5. the-all-built-in-function
6. the-map-built-in-function
7. the-filter-built-in-function
8. the-reduce-built-in-function
9. the-max-built-in-function
10. the-sorted-built-in-function
11. list-comprehension
12. nested-lists-comprehension
13. set-comprehension
14. dictionary-comprehension
15. what-is-a-closure
16. what-are-decorators
17. decorators-syntax
18. decorators-methods
19. what-is-functional-programming
20. why-functional-programming
21. functional-particularities-of-python
22. lambda-functions
23. what-are-generators
24. yield-and-next
25. generator-of-generators
26. what-is-immutability
27. distinguish-the-mutability-of-common-types
28. why-types-have-immutability
29. what-is-an-iterable
30. what-are-iterators
31. the-iteration-protocol

Exercises:

1. py-practice-functional-features
2. py-practice-list-comprehension
3. py-practice-list-comprehension2
4. py-practice-dictionary-comprehension
5. py-practice-set-comprehension
6. py-practice-functional-features2
7. py-practice-functional-imperative
8. py-practice-generators
9. py-practice-pure-functions2
10. py-practice-functional-libraries

⚠️ There are no games tagged with this aspect in functional-programming.

💪 Workout

Theory put into practice/that’s how you achieve X points

Insights:

1. the-slice-built-in-function
2. the-reversed-built-in-function
3. the-zip-built-in-function
4. the-sum-built-in-function
5. the-all-built-in-function
6. the-map-built-in-function
7. the-filter-built-in-function
8. the-reduce-built-in-function
9. the-max-built-in-function
10. the-sorted-built-in-function
11. list-comprehension
12. nested-lists-comprehension
13. dictionary-comprehension
14. speed-up-your-for-loop-using-map-or-list-comprehensions
15. what-is-a-closure
16. what-are-decorators
17. decorators-syntax
18. decorators-methods
19. functools-wraps
20. recursive-generator
21. generator-of-generators
22. more-benefits-of-immutability
23. immutability-gotchas
24. the-iteration-protocol
25. the-itertools-module
26. iterators-applications

Exercises:

1. py-practice-functional-features
2. py-practice-list-comprehension
3. py-practice-list-comprehension2
4. py-practice-dictionary-comprehension
5. py-practice-set-comprehension
6. py-practice-functional-features2
7. py-practice-functional-imperative
8. py-practice-pure-functions
9. py-practice-generators
10. py-practice-pure-functions2
11. py-practice-functional-libraries
12. py-practice-next-iter

⚠️ There are no games tagged with this aspect in functional-programming.

🦑 Deep

Prerequisite knowledge consisting of 2 or more 👶/💪 workouts

Insights:

1. the-slice-built-in-function
2. the-reversed-built-in-function
3. the-zip-built-in-function
4. the-sum-built-in-function
5. the-all-built-in-function
6. the-map-built-in-function
7. the-filter-built-in-function
8. the-reduce-built-in-function
9. the-max-built-in-function
10. the-sorted-built-in-function
11. list-comprehension
12. nested-lists-comprehension
13. dictionary-comprehension
14. functools-wraps

Exercises:

1. py-practice-functional-features
2. py-practice-list-comprehension
3. py-practice-list-comprehension2
4. py-practice-dictionary-comprehension
5. py-practice-set-comprehension
6. py-practice-functional-features2
7. py-practice-pure-functions
8. py-practice-generators
9. py-practice-next-iter

⚠️ There are no games tagged with this aspect in functional-programming.

✨ New

Recently added/gained traction feature

⚠️ There are no insights tagged with this aspect in functional-programming. :warning: There are no exercises tagged with this aspect in functional-programming. :warning: There are no games tagged with this aspect in functional-programming.

🔮 Obscura

Stories, obscure details that don’t specifically relate to a learning objective

Insights:

1. why-functional-programming
2. is-python-a-functional-language
3. functional-particularities-of-python
4. benefits-of-using-generators
5. what-is-immutability
6. distinguish-the-mutability-of-common-types
7. why-types-have-immutability
8. more-benefits-of-immutability

⚠️ There are no exercises tagged with this aspect in functional-programming. :warning: There are no games tagged with this aspect in functional-programming.

✅ All content has been tagged with aspects.