Functional Programming in 7 Days [Video]

More Information
Learn
  • Use built-in libraries to implement higher order functions
  • Build robust web applications using functional programming
  • 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
About

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.

All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Functional-Programming-in-7-Days

Style and Approach

This hands-on course is a step-by-step guide that covers the important aspects of functional programming and the different tools that the Python language provides using step-by-step instructions, practical illustrations, best practices, and examples of applications.

Features
  • You’ll learn to make Python code more concise using functional programming by moving into the compiler, ideas such as list comprehensions and caching
  • Uncover the various features in Python for functional programming to unlock the robustness of your program by Lazy and Partial Evaluations, Memorization, and Automatic Parallelization
  • Get practical illustrations with step-by-step instructions, followed by best practices and simple examples of applications
Course Length 4 hours 48 minutes
ISBN 9781788990295
Date Of Publication 27 Dec 2018

Authors

Mohammed Kashif

Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he was working as a Python developer at Qualcomm. He completed his Master's degree in computer science from IIIT Delhi, with specialization in data engineering. His areas of interest include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the higher-education industry.