Python

 

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Section 1: Immutable Data Structures
1. Functional Programming Course Overview
2. What Is Functional Programming?
3. Mutable Data Structures: Lists and Dictionaries
4. Immutable Data Structures: namedtuple
5. Danger Zone: Mixing Mutable and Immutable Data Structures
6. Immutable Data Structures: Tuples

 

Section 2: The filter Function
5 Lessons 13m
1. The filter Function: Overview
2. What is the filter Function?
3. Storing Filtered Data in a Tuple
4. Why Use the filter Function?
5. Filtering List Comprehensions

 

Section 3: The map Function
5 Lessons 11m
1. The map Function: Overview
2. What is the map Function?
3. How to Use the map Function
4. The map Function vs Generator Expressions
5. Why Use the map Function?

 

Section 4: The reduce Function
4 Lessons 16m
1. The reduce Function: Overview
2. What Is the reduce Function?
3. Why Use the reduce Function?
4. Grouping Data With itertools. groupby

 

Section 5: Parallel Processing With multiprocessing
7 Lessons 16m
1. Parallel Processing With multiprocessing: Overview
2. Multiprocessing Testbed Overview
3. The multiprocessing Module
4. Measuring Execution Time in the multiprocessing Testbed
5. How to Create a multiprocessing.Pool() Object
6. How to Use multiprocessing.Pool()
7. Parallel Processing With multiprocessing: Conclusion

 

Section 6: Parallel Processing With concurrent.futures
5 Lessons 9m
1. Parallel Processing With concurrent.futures: Overview2. The concurrent.futures Module
3. How Functional Programing Makes Parallel Processing Simple
4. concurrent.futures vs multiprocessing
5. When to Use concurrent.futures or multiprocessing
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