Functional Programming with Python Comprehensions

Functional Programming with Python Comprehensions

Functional Programming with Python: Harness the Power of Comprehensions for Clearer, Concise, and Efficient Code.



Sub Category

  • Programming Languages

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Objectives

  • How to understand and apply the 'action source condition' model of comprehensions.
  • The difference between imperative and declarative programming styles.
  • How to identify, write and use functional code.
  • How to create clean, concise list, set and dictionary comprehensions.
  • How to create and use generator comprehensions.
  • How to create and use nested comprehensions.
  • How to solve job interview style questions using functional code.
  • List Comprehensions
  • Set Comprehensions
  • Dictionary Comprehensions
  • Generator Comprehensions
  • Lazy Evaluation
  • Declarative Programming
  • Functional Programming
  • Immutability


Pre Requisites

  1. Some basic Python would be ideal, such as a good understanding of the syntax, basic data types and loops.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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