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[ FreeCourseWeb com ] Functional Programming With Python by Andy Bek
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1. PLEASE DO NOT SKIP
1. Very Short Intro.mp4
1.1 VSCode With Jupyter Notebooks.html
10. Aliasing.ipynb
11. Lambdas.ipynb
12. Map.ipynb
13. Zip.ipynb
14. Filter.ipynb
15. Any And All.ipynb
16. Reduce.ipynb
17. Comprehensions.ipynb
18. Set Comprehensions.ipynb
19. Dictionary Comrephensions.ipynb
2. All Course Notebooks.html
20. Iterators.ipynb
21. Generators.ipynb
22. Variadics.ipynb
23. Nested HOFs.ipynb
24. Closures.ipynb
25. Decorators.ipynb
26. Advanced Decorators.ipynb
27. Recursion.ipynb
28. Memoization.ipynb
29. Currying And Partials.ipynb
3. The Five Tenets Of Functional Programming.ipynb
30. Overloading And Polymorphism.ipynb
31. Infinite Iterators.ipynb
4. Functions_As_First_Class_Objects.ipynb
5. Functions_In_Data_Structures.ipynb
6. HOFs_At_A_Glance.ipynb
7. Purity And Side Effects.ipynb
8. Laziness.ipynb
9. Immutability.ipynb
10. Lambdas
1. Anonymous Functions.mp4
2. A Single Expression.mp4
3. Good And Bad Uses.mp4
4. Nesting And In-Place Lambdas.mp4
5. Skill Challenge.mp4
6. Solution.mp4
7. Section Notebook.html
7.1 11. Lambdas.ipynb
11. Map
1. Transformations.mp4
2. Mapping Over Multiple Iterables.mp4
3. Built-Ins.mp4
4. Skill Challenge.mp4
5. Solution.mp4
6. Section Notebook.html
6.1 12. Map.ipynb
12. Zip
1. The Basic Zip.mp4
2. Strict Mode.mp4
3. Unzipping With Splat.mp4
4. Building Dicts.mp4
5. Extra Functional Pipelining.mp4
6. Skill Challenge.mp4
7. Solution.mp4
8. Section Notebook.html
8.1 13. Zip.ipynb
13. Filter
1. Declarative Select.mp4
2. Multiple Conditions.mp4
3. Extra Nested Lambdas.mp4
4. Chained Filtering.mp4
5. Skill Challenge.mp4
6. Solution.mp4
7. Extra Alternative Solution With namedtuple.mp4
8. Section Notebook.html
8.1 14. Filter.ipynb
14. Any And All
1. Any.mp4
2. All.mp4
3. Any And All With Filter And Map.mp4
4. Negation.mp4
5. Short Circuiting Logic.mp4
6. Skill Challenge.mp4
7. Solution.mp4
8. Section Notebook.html
8.1 15. Any And All.ipynb
15. Reduce
1. Accumulate.mp4
2. The Initial Accumulator.mp4
3. Skill Challenge.mp4
4. Solution.mp4
5. More Applications.mp4
6. Skill Challenge - Run Length Encoding.mp4
7. Solution.mp4
8. Section Notebook.html
8.1 16. Reduce.ipynb
16. Comprehensions
1. Introduction To Comprehensions.mp4
2. Nested List Comprehensions.mp4
3. Comprehensions Over Multiple Iterables.mp4
4. Skill Challenge.mp4
5. Solution.mp4
6. Section Notebook.html
6.1 17. Comprehensions.ipynb
17. Set Comprehensions
1. From Lists To Sets.mp4
2. More Advanced Operations.mp4
3. Skill Challenge.mp4
4. Solution.mp4
5. Extra Skill Challenge Efficient Primes.mp4
6. Solution.mp4
7. Section Notebook.html
7.1 18. Set Comprehensions.ipynb
18. Dictionary Comprehensions
1. Building New Dictionaries.mp4
2. More Use Cases.mp4
3. Skill Challenge.mp4
4. Solution.mp4
5. Alternative Solution.mp4
6. Section Notebook.html
6.1 19. Dictionary Comrephensions.ipynb
19. Iterators
1. Concepts And Foundations.mp4
2. Implementing The Iterator Protocol.mp4
3. Section Notebook.html
3.1 20. Iterators.ipynb
2. The Five Tenets Of Functional Programming
1. The Functional Paradigm.mp4
2. Section Notebook.html
2.1 3. The Five Tenets Of Functional Programming.ipynb
20. Generators
1. Introduction To Generator Functions.mp4
2. Generator Expressions.mp4
3. Two-Way Communication With Generators.mp4
4. Skill Challenge Infinite Fibonacci Generator.mp4
5. Solution.mp4
6. Alternative Solution.mp4
7. Extra Sliding Window Fibonacci With Deque.mp4
8. Data Pipelining Using Generators.mp4
8.1 logfile.log
9. Section Notebook.html
9.1 21. Generators.ipynb
21. Variadics
1. args and kwargs.mp4
2. Skill Challenge.mp4
3. Solution.mp4
4. Section Notebook.html
4.1 22. Variadics.ipynb
22. Nested HOFs
1. Higher Order Functions Revisited.mp4
2. Skill Challenge.mp4
3. Solution.mp4
4. Section Notebook.html
4.1 23. Nested HOFs.ipynb
23. Closures
1. What Is A Closure.mp4
2. Skill Challenge.mp4
3. Solution.mp4
4. Section Notebook.html
4.1 24. Closures.ipynb
24. Decorators
1. Introduction To Decorators.mp4
2. Decorating Parameterized Functions.mp4
3. Skill Challenge.mp4
4. Solution.mp4
5. Section Notebook.html
5.1 25. Decorators.ipynb
25. Advanced Decorators
1. Advanced Decorators.mp4
2. Chaining Multiple Decorators.mp4
3. Preserving Identity With @wraps.mp4
4. Skill Challenge.mp4
5. Solution.mp4
6. Section Notebook.html
6.1 26. Advanced Decorators.ipynb
26. Recursion
1. Introduction To Recursion.mp4
10. Solution.mp4
11. Skill Challenge - Refactored Signature.mp4
12. Solution.mp4
13. Section Notebook.html
13.1 27. Recursion.ipynb
2. Recursion Trees And Recurrence Relations.mp4
3. Skill Challenge.mp4
4. Solution.mp4
5. Tail Recursion And Recursion Limits In Python.mp4
6. Mutual Recursion.mp4
7. Parsing Structured Data With Recursive Functions.mp4
8. A Slight Improvement.mp4
9. Skill Challenge - Recursive Binary Search.mp4
27. Memoization
1. A Conceptual Understanding.mp4
2. Defining A Memoization Function.mp4
3. Predefined Caching Utilities.mp4
4. Extra Inline Memoization.mp4
5. Section Notebook.html
5.1 28. Memoization.ipynb
28. Currying And Partials
1. Partial Function Application.mp4
2. Skill Challenge.mp4
3. Solution.mp4
4. Section Notebook.html
4.1 29. Currying And Partials.ipynb
29. Overloading And Polymorphism With singledispatch
1. Polymorphic Functions.mp4
2. A Quick Gotcha.mp4
3. Skill Challenge.mp4
4. Solution.mp4
5. Section Notebook.html
5.1 30. Overloading And Polymorphism.ipynb
3. Functions As First-Class Objects
1. Passing Functions As Arguments.mp4
2. Functions Returning Functions.mp4
3. Skill Challenge.mp4
4. Solution.mp4
5. Section Notebook.html
5.1 4. Functions_As_First_Class_Objects.ipynb
30. Infinite Iterators
1. Count.mp4
2. Infinite Cycles.mp4
3. Finite Cycles With Repeat.mp4
4. Skill Challenge.mp4
5. Solution.mp4
6. Section Notebook.html
6.1 31. Infinite Iterators.ipynb
31. Appendix Complete Python Fundamentals In Less Than 3 Hours
1. Please Note.html
10. Containers I Lists.mp4
11. Lists vs. Strings.mp4
12. List Methods And Functions.mp4
13. Containers II Tuples.mp4
14. Containers III Sets.mp4
15. Containers IV Dictionaries.mp4
16. Dictionary Keys And Values.mp4
17. Membership Operators.mp4
18. Controlling Flow if, else, And elif.mp4
19. Truth Value Of Non-booleans.mp4
2. Section Intro.mp4
20. For Loops.mp4
21. The range() Immutable Sequence.mp4
22. While Loops.mp4
23. Break And Continue.mp4
24. Zipping Iterables.mp4
25. List Comprehensions.mp4
26. Defining Functions.mp4
27. Function Arguments Positional vs Keyword.mp4
28. Lambdas.mp4
29. Importing Modules.mp4
3. Data Types.mp4
4. Variables.mp4
5. Arithmetic And Augmented Assignment Operators.mp4
6. Ints And Floats.mp4
7. Booleans And Comparison Operators.mp4
8. Strings.mp4
9. Methods.mp4
Appendix_A_Rapid_Fire_Python_Fundamentals.ipynb
__MACOSX
_Appendix_A_Rapid_Fire_Python_Fundamentals.ipynb
4. Functions In Data Structures
1. Lists Of Functions.mp4
2. Skill Challenge.mp4
3. Solution.mp4
4. Section Notebook.html
4.1 5. Functions_In_Data_Structures.ipynb
5. HOFs At A Glance
1. Order And Higher-Order Functions.mp4
2. Skill Challenge.mp4
3. Solution.mp4
4. Section Notebook.html
4.1 6. HOFs_At_A_Glance.ipynb
6. Purity And Side Effects
1. Impure Functions.mp4
2. Purity Is Eliminating (Realistically, Isolating) The Side Effects.mp4
3. Section Notebook.html
3.1 7. Purity And Side Effects.ipynb
7. Laziness
1. Lazy vs Eager Evaluation.mp4
2. Chaining Lazy Operations.mp4
3. Section Notebook.html
3.1 8. Laziness.ipynb
8. Immutability
1. Mutable Lists.mp4
2. Skill Challenge.mp4
3. Solution.mp4
4. Extra UndoRedo Operations With Immutable Data.mp4
5. Section Notebook.html
5.1 9. Immutability.ipynb
9. Aliasing
1. Aliasing And Unintended Side Effects.mp4
2. Section Notebook.html
2.1 10. Aliasing.ipynb
Bonus Resources.txt
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