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Functional-Programming-in-7-Days

Functional Programming in 7 Days, published by Packt

Functional Programming in 7 Days [Video]

This is the code repository for Functional Programming in 7 Days [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

With every business being penetrated by data, it’s even more important to move towards functional paradigms to tackle the side-effects of programming, making testing and debugging easier. This course will teach you how to deconstruct data structures and store variable bindings (with closures). You’ll also learn about strong typing, storage allocation, and whether to use boxed (pointer-to-value) or unboxed (value directly) representation using functional programming.

This fast-paced actionable guide offers seven 30-minute lessons, each followed by a practical exercise to get you up and running. By the end, you’ll be well-equipped with programming concepts that enable robust functional programming, taking you one step closer to proficient programming in Python.

What You Will Learn

  • Use built-in libraries to implement higher order functions.
  • Implement decorators and other optimizations to avoid wasting memory in application development.
  • Identify common functional design patterns and know how these apply to Python.
  • Perform computation using monads and functors.
  • Get a good grip over functional programming concepts like currying, functional composition, etc.

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
This course is for developers who want to learn functional programming to handle the new requirements for programming multi-processor and high-availability applications. Basic Python programming knowledge is assumed.

Technical Requirements

This course has the following software requirements:
This course has the following software requirements: ● Python 2.5+/3.5+ version ● Jupyter Notebook ● Any web browser for running jupyter notebook

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