Functional programming with python
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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.
Functional programming with python
- 2. Functional Programming Expressions over statements (instead of using a whole for, use map/filter/reduce) No side effect Immutability Simpler code Expressiveness
- 3. Functional is stateless Statefull Stateless
- 4. Don't iterate over lists
- 6. A even better way
- 7. Another example with map
- 8. Another example with reduce
- 9. Lambdas
- 10. High Order Functions Functions that manipulate functions Send functions to functions allowing different behaviour
- 13. List Comprehentions Comes from mathematics { x2 | x ∈ ℕ } x * 2 given x is contained on the natural numbers
- 14. Immutability ● The same happens to other types: string, float, tuples, etc ● Lists and Dictionaries are mutable ● Objects are also mutable
- 15. Thanks