Functional Programming With Python

سرفصل های دوره

A beginner-friendly introduction to functional constructs in python

1. PLEASE DO NOT SKIP

1.1 VSCode With Jupyter Notebooks.html

1. Very Short Intro

2.1 notebooks.zip

2. All Course Notebooks.html

2. The Five Tenets Of Functional Programming

1. The Functional Paradigm

2.1 3. the five tenets of functional programming.zip

2. Section Notebook.html

3. Functions As First-Class Objects

1. Passing Functions As Arguments

2. Functions Returning Functions

3. Skill Challenge

4. Solution

5.1 4. functions as first class objects.zip

5. Section Notebook.html

4. Functions In Data Structures

1. Lists Of Functions

2. Skill Challenge

3. Solution

4.1 5. functions in data structures.zip

4. Section Notebook.html

5. HOFs At A Glance

1. Order And Higher-Order Functions

2. Skill Challenge

3. Solution

4.1 6. hofs at a glance.zip

4. Section Notebook.html

6. Purity And Side Effects

1. Impure Functions

2. Purity Is Eliminating (Realistically, Isolating) The Side Effects

3.1 7. purity and side effects.zip

3. Section Notebook.html

7. Laziness

1. Lazy vs Eager Evaluation

2. Chaining Lazy Operations

3.1 8. laziness.zip

3. Section Notebook.html

8. Immutability

1. Mutable Lists

2. Skill Challenge

3. Solution

4. Extra UndoRedo Operations With Immutable Data

5.1 9. immutability.zip

5. Section Notebook.html

9. Aliasing

1. Aliasing And Unintended Side Effects

2.1 10. aliasing.zip

2. Section Notebook.html

10. Lambdas

1. Anonymous Functions

2. A Single Expression

3. Good And Bad Uses

4. Nesting And In-Place Lambdas

5. Skill Challenge

6. Solution

7.1 11. lambdas.zip

7. Section Notebook.html

11. Map

1. Transformations

2. Mapping Over Multiple Iterables

3. Built-Ins

4. Skill Challenge

5. Solution

6.1 12. map.zip

6. Section Notebook.html

12. Zip

1. The Basic Zip

2. Strict Mode

3. Unzipping With Splat

4. Building Dicts

5. Extra Functional Pipelining

6. Skill Challenge

7. Solution

8.1 13. zip.zip

8. Section Notebook.html

13. Filter

1. Declarative Select

2. Multiple Conditions

3. Extra Nested Lambdas

4. Chained Filtering

5. Skill Challenge

6. Solution

7. Extra Alternative Solution With namedtuple

8.1 14. filter.zip

8. Section Notebook.html

14. Any And All

1. Any

2. All

3. Any And All With Filter And Map

4. Negation

5. Short Circuiting Logic

6. Skill Challenge

7. Solution

8.1 15. any and all.zip

8. Section Notebook.html

15. Reduce

1. Accumulate

2. The Initial Accumulator

3. Skill Challenge

4. Solution

5. More Applications

6. Skill Challenge - Run Length Encoding

7. Solution

8.1 16. reduce.zip

8. Section Notebook.html

16. Comprehensions

1. Introduction To Comprehensions

2. Nested List Comprehensions

3. Comprehensions Over Multiple Iterables

4. Skill Challenge

5. Solution

6.1 17. comprehensions.zip

6. Section Notebook.html

17. Set Comprehensions

1. From Lists To Sets

2. More Advanced Operations

3. Skill Challenge

4. Solution

5. Extra Skill Challenge Efficient Primes

6. Solution

7.1 18. set comprehensions.zip

7. Section Notebook.html

18. Dictionary Comprehensions

1. Building New Dictionaries

2. More Use Cases

3. Skill Challenge

4. Solution

5. Alternative Solution

6.1 19. dictionary comrephensions.zip

6. Section Notebook.html

19. Iterators

1. Concepts And Foundations

2. Implementing The Iterator Protocol

3.1 20. iterators.zip

3. Section Notebook.html

20. Generators

1. Introduction To Generator Functions

2. Generator Expressions

3. Two-Way Communication With Generators

4. Skill Challenge Infinite Fibonacci Generator

5. Solution

6. Alternative Solution

7. Extra Sliding Window Fibonacci With Deque

8.1 logfile.zip

8. Data Pipelining Using Generators

9.1 21. generators.zip

9. Section Notebook.html

21. Variadics

1. args and kwargs

2. Skill Challenge

3. Solution

4.1 22. variadics.zip

4. Section Notebook.html

22. Nested HOFs

1. Higher Order Functions Revisited

2. Skill Challenge

3. Solution

4.1 23. nested hofs.zip

4. Section Notebook.html

23. Closures

1. What Is A Closure

2. Skill Challenge

3. Solution

4.1 24. closures.zip

4. Section Notebook.html

24. Decorators

1. Introduction To Decorators

2. Decorating Parameterized Functions

3. Skill Challenge

4. Solution

5.1 25. decorators.zip

5. Section Notebook.html

25. Advanced Decorators

1. Advanced Decorators

2. Chaining Multiple Decorators

3. Preserving Identity With @wraps

4. Skill Challenge

5. Solution

6.1 26. advanced decorators.zip

6. Section Notebook.html

26. Recursion

1. Introduction To Recursion

2. Recursion Trees And Recurrence Relations

3. Skill Challenge

4. Solution

5. Tail Recursion And Recursion Limits In Python

6. Mutual Recursion

7. Parsing Structured Data With Recursive Functions

8. A Slight Improvement

9. Skill Challenge - Recursive Binary Search

10. Solution

11. Skill Challenge - Refactored Signature

12. Solution

13.1 27. recursion.zip

13. Section Notebook.html

27. Memoization

1. A Conceptual Understanding

2. Defining A Memoization Function

3. Predefined Caching Utilities

4. Extra Inline Memoization

5.1 28. memoization.zip

5. Section Notebook.html

28. Currying And Partials

1. Partial Function Application

2. Skill Challenge

3. Solution

4.1 29. currying and partials.zip

4. Section Notebook.html

29. Overloading And Polymorphism With singledispatch

1. Polymorphic Functions

2. A Quick Gotcha

3. Skill Challenge

4. Solution

5.1 30. overloading and polymorphism.zip

5. Section Notebook.html

30. Infinite Iterators

1. Count

2. Infinite Cycles

3. Finite Cycles With Repeat

4. Skill Challenge

5. Solution

6.1 31. infinite iterators.zip

6. Section Notebook.html

31. Appendix Complete Python Fundamentals In Less Than 3 Hours

1.1 Rapid Fire Python Fundamentals.zip

1. Please Note.html

2. Section Intro

3. Data Types

4. Variables

5. Arithmetic And Augmented Assignment Operators

6. Ints And Floats

7. Booleans And Comparison Operators

8. Strings

9. Methods

10. Containers I Lists

11. Lists vs. Strings

12. List Methods And Functions

13. Containers II Tuples

14. Containers III Sets

15. Containers IV Dictionaries

16. Dictionary Keys And Values

17. Membership Operators

18. Controlling Flow if, else, And elif

19. Truth Value Of Non-booleans

20. For Loops

21. The range() Immutable Sequence

22. While Loops

23. Break And Continue

24. Zipping Iterables

25. List Comprehensions

26. Defining Functions

27. Function Arguments Positional vs Keyword

28. Lambdas

29. Importing Modules

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