Published 12/2023
Created by Andy Bek
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 191 Lectures ( 14h 28m ) | Size: 3.9 GB
A beginner-friendly introduction to functional constructs in python
What you’ll learn
Practical fluency with map, filter, reduce, zip, any, all, list, set, dictionary, and generator comprehensions, and generator expressions
Complete coverage of intermediate functional constructs in Python: generators, iterators, decorators, closures, recursion, and much more!
A practical exploration of advanced topics: closures, recursion, partial function application, currying, memoization, infinite iterators, and overloading
A conceptual understanding of the key tenets of functional programming: immutability, purity, higher-order functions, recursion, and referential transparency
Requirements
No prior Python programming experience is required – this course is beginner friendly
A basic understanding of programming concepts is helpful, but not required
Description
Welcome to the best and most comprehensive introduction to functional programming in Python!In this beginner-friendly course, you will get to learn and practice Python’s functional capabilities step-by-step, from the ground up. The course will begin with a conceptual understanding of the key tenets of functional programming: immutability: the idea that data should not be modified in placepurity: the practice of writing functions that do not cause side effectshigher-order functions: treating functions as pari passu with other data typesrecursion: the pattern of writing functions that call themselvesreferential transparency: the principle that a function call can be replaced with its return value without changing the program’s behaviorThen, we will explore practical utilities that Python offers to help us write functional code, including:map, filter, reduce, zip, any, all: utilities for working with iterableslist, set, dictionary, and generator comprehensions: concise ways of creating lists, sets, dictionaries, and generatorsgenerator functions and iterators: functions that can be paused and resumedvariable arity: functions that can take a variable number of arguments, unknown at the time of writing the function In the final, and longest part of the course, we will take a look at more advanced topics, including:closures: higher-order functions that can access non-local variablesrecursion: functions that call themselvespartial function application: functions that return other functions, with some arguments pre-filledcurrying: a special case of partial function applicationmemoization: caching the results of function calls to speed up executioninfinite iterators: iterators that never endfunctional overloading: functions that behave differently depending on their inputsThroughtout the course, you will get to practice your newly acquired skills through a set of more than 20 skill challenges, each of which will be followed with a detailed video explanation of the solution that we will walk through together.This course is very beginner-friendly and no python experience is assumed. If you’ve never worked with Python before, there’s a full length introduction to Python programming included as an appendix, covering the fundamentals of the language from the basic data types to containers, control flow, loops, classes, and more. See you inside!
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