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Functional programming with python
The document discusses functional programming with Python, emphasizing the use of expressions over statements and the importance of immutability and statelessness. It highlights functional programming principles such as higher-order functions, lambda functions, and the use of map/filter/reduce for concise code. Additionally, it contrasts mutable and immutable types in Python.
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Functional programming with python
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- 2. Functional Programming Expressions overstatements (instead of using a whole for, use map/filter/reduce) No side effect Immutability Simpler code Expressiveness
- 3. Functional is stateless StatefullStateless
- 4. Don't iterate overlists
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- 8. Another example withreduce
- 9.
- 10. High Order Functions Functionsthat manipulate functions Send functions to functions allowing different behaviour
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- 13. List Comprehentions Comes frommathematics { x2 | x โ โ } x * 2 given x is contained on the natural numbers
- 14. Immutability โ The samehappens to other types: string, float, tuples, etc โ Lists and Dictionaries are mutable โ Objects are also mutable
- 15.