Functional effect handling in Scala with Cats Effect

A peek on how functional programming experts deal with side effects
Functional effect handling in Scala with Cats Effect
File Size :
2.08 GB
Total length :
7h 11m

Category

Instructor

Leandro Galvan

Language

Last update

Last updated 9/2022

Ratings

4.4/5

Functional effect handling in Scala with Cats Effect

What you’ll learn

Model and compose effectful computations in a pure manner.
Design an error handling strategy taking side-effects into consideration.
Increase concurrency and parallelism of an application with high-level methods.
Safely use and release resources such as connections, io streams, etc.
Handle complex concurrent scenarios involving shared state and thread communication with purely functional primitives.

Functional effect handling in Scala with Cats Effect

Requirements

Working knowledge of the Scala language (case classes, pattern matching, traits, implicits, etc.)
(Helpful) Knowledge of functional typeclasses such as Monads, Applicatives and Functors
(Helpful) Some experience with the Cats library

Description

When you first hear about functional programming you might get the impression that it can only be used in toy examples or for very academic purposes. After all, FP is all about purity and almost every useful thing you can do in a program is impure: http calls, file IO, and so on.In this course I’m going to show you that FP is actually amazing for dealing with effects. By separating program description from execution you will be able to build computations that are easy to compose and reason about, while at the same time keeping all the usefulness of side-effects.In order to do so, we are going to use the amazing Cats Effect library, which provides an IO monad to model our effects, a very rich API to compose them, and a highly-performant runtime to execute them.The course is structured in many small/medium sized sections that focus on one specific topic. At the end of each section there is a final exercise to practice what you learned, and a quiz to help check your recall and understanding of the section.By the end of the course, you will be able to:Write and compose computations you want to run, before actually running them.Design an error handling strategy for your application, taking side-effects into consideration.Increase the parallelism and concurrency of your programs without the need to handle low-level details.Use and compose resources that need to be released (connections, io streams, etc.) in an elegant manner.Handle complex scenarios involving concurent shared state and thread communication by using purely functional primitives.Hopefully, you will also have some fun along way!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Setting up environment

Lecture 3 How to take this course

Lecture 4 Course files

Section 2: Effects in Programming

Lecture 5 Introduction

Lecture 6 Referential transparency

Lecture 7 Id generator

Lecture 8 Optionality

Lecture 9 State

Lecture 10 Error handling

Lecture 11 Printing to console

Lecture 12 Writing to disk

Lecture 13 Referentially transparent IO

Lecture 14 Definitions and clarifications

Section 3: The IO Monad

Lecture 15 Intro

Lecture 16 Basic usage

Lecture 17 IOApp

Lecture 18 Exercise

Section 4: Error Handling

Lecture 19 Intro

Lecture 20 Setting up API example

Lecture 21 Validating inputs with Validated

Lecture 22 Modeling domain errors with Either

Lecture 23 Loading accounts with a Repository

Lecture 24 Adding business logic with a Service

Lecture 25 Combining logic into the final Controller

Lecture 26 Testing

Lecture 27 Ignoring Fatal Errors

Lecture 28 Exercise

Section 5: Concurrency and Parallelism

Lecture 29 Intro

Lecture 30 ParMapN

Lecture 31 ParTraverse

Lecture 32 Race

Lecture 33 Exercise

Section 6: Resource Safety

Lecture 34 Intro – Bracket

Lecture 35 Writing to files with bracket

Lecture 36 Intro – Resource

Lecture 37 Copying and encrypting files with Resource

Lecture 38 Exercise

Section 7: Asynchronous Computations

Lecture 39 Intro

Lecture 40 Transforming a Future by blocking

Lecture 41 Avoiding blocking with async_

Lecture 42 Using fromFuture for conciseness

Lecture 43 Running on different thread pools with evalOn

Lecture 44 Exercise

Section 8: Memoization

Lecture 45 Intro

Lecture 46 Setting up templates example

Lecture 47 Loading templates eagerly

Lecture 48 Loading templates on error only

Lecture 49 Memoizing templates

Lecture 50 Exercise

Section 9: Time

Lecture 51 Intro

Lecture 52 Handling token expirations with realTime

Lecture 53 Measuring how long computations run with monotonic

Lecture 54 Exercise

Section 10: Concurrent Shared State Part I – Refs

Lecture 55 Intro

Lecture 56 Loading customers

Lecture 57 Storing the logs in a Ref

Lecture 58 Using one Ref per customer

Lecture 59 Exercise

Section 11: Concurrent Shared State Part II – Deferred

Lecture 60 Intro

Lecture 61 Showing items in a GUI

Lecture 62 Adding parallelism with parMapN

Lecture 63 Communicating processes with Deferred

Lecture 64 Adding error handling

Lecture 65 Exercise

Section 12: Queue

Lecture 66 Intro

Lecture 67 Processing events with queues

Lecture 68 Exercise

Section 13: Thread Pools

Lecture 69 Types of Thread Pools

Lecture 70 Work stealing pools

Lecture 71 Cached Unbounded Pools

Lecture 72 Execution contexts

Lecture 73 Choosing the correct thread pool

Lecture 74 Using compute and blocking pools

Lecture 75 Exercise

Section 14: Tagless final

Lecture 76 Intro – Typeclasses in cats effect

Lecture 77 Intro – Parallel

Lecture 78 Intro – Tagless final

Lecture 79 Setting up example

Lecture 80 Convert an IO application into a Tagless Final application

Lecture 81 Exercise

Scala developers with some experience in functional programming

Course Information:

Udemy | English | 7h 11m | 2.08 GB
Created by: Leandro Galvan

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