Go Data Structures, Algorithms And Design Patterns With Go

Delve into Go's powerful data structure, algorithms, classical design patterns by using TDD with some easy tricks
What you'll learn
This course is aimed at beginner-level developers in the Go programming language, who would like to learn data structures and algorithms in Golang.
Requirements
Prior knowledge of basic Go programming would be advantageous.
Description
Go is a multi-paradigm programming language that has built-in facilities to create concurrent applications. Design Patterns will provide readers with a reference point to software design patterns and CSP concurrency design patterns to help them build applications in a more idiomatic, robust, and convenient way in Go.With this hands-on, practical course, you'll first have a deep dive into understanding the basic data types, structures, linked lists and doubly linked lists in Go. Then, you will learn about graph algorithms such as binary & trees. You will then learn about CSP concurrency patterns used to maintain thousands of servers. Moving further, you will also gain advanced knowledge about classic design patterns to build concise, readable, and maintainable applications & software.Finally, you will learn concurrent structures and parallel execution which helps you improve your concepts of Go Concurrency to write concurrent apps & develop some classical design patterns with concurrent structures to maximize parallelism. Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning Go Data Structures, and Algorithms will begin by understanding the basic Data types and Structures in Go. Moving forward, you will learn the power of linked lists and doubly linked lists in Go and then learn to implement linear data structures such as stacks and queues. Also, implement binary searches and trees and will explore sorting algorithms in detail. From here, you will learn about graph algorithms and also be introduced to some common data structures used while working with strings. You will learn common techniques and structures used in tasks such as preprocessing, modelling, and transforming data. By the end of this course, you would have mastered functional and reactive implementations of traditional data structures in an easy and efficient mannerThe second course, Introduction to Go Classical Patterns starts with a brief introduction to Go programming essentials and quickly moves on to explain the idea behind the creation of design patterns and how they appeared in the 90's as a common "language" between developers to solve common tasks in object-oriented programming languages. You will then learn how to apply the 23 Gang of Four (GoF) design patterns in Go and also learn about CSP concurrency patterns, the "killer feature" in Go that has helped Google develop software to maintain thousands of servers. With all of this, the book will enable you to understand and apply design patterns in an idiomatic way that will produce concise, readable, and maintainable software.The third course, Go Behavioural Patterns will take you to an advanced level of knowledge about classic design patterns but, as you will see, the design patterns covered here are quite different, partly because of the lack of inheritance in Go, but also because we have different and more optimal ways to solve the same problems. With all this, the course will enable you to understand and apply design patterns in an idiomatic way that will produce concise, readable, and maintainable software.The fourth course, Go Concurrency is on learning about concurrent structures and parallel execution. You will use the majority of Go primitives to write concurrent apps, and we will develop some classical design patterns with concurrent structures to maximize parallelism. Also, you will learn some typical structures with which to develop concurrent apps in Go. You will learn how a classical pattern can become more complex if you need it to work in a concurrent way; however, the idea is to understand Go concurrent primitives so that you know how to write your own concurrent design patterns by using the knowledge taken from the course.About the Authors: Gustavo is an experienced software developer and has been writing code since the beginning of the century. He has vast experience working with different languages, including Erlang, jаvascript, and C but with a major interest in Go. He is currently a Technical Leader of a Golang team that builds distributed systems. When he is not coding, you can find him cycling, rock-climbing, and playing guitar in his free time.Mario Castro Contreras is a software engineer who has specialized in distributed systems and big data solutions. He works as a site reliability engineer, and now he is focused on containerized solutions and apps using most of the Google Cloud suite, especially, Kubernetes. He has wide experience in systems and solutions integration, and he has written many scalable and reliable 12-factor apps using Go and Docker. He has designed big data architectures for financial services and the media, and he has written data processing pipelines using event-driven architectures entirely in Go. He is also very active in the open source community, and you can find him on his GitHub account with the username sayden. In the past, he has also written mobile applications and backends in Java. Mario is passionate about programming languages, and he finds the best balance between fun and productivity in Go; however, recently he enjoys writing in Rust and embedded systems in C. He is also passionate about road cycling and winter sports.
Overview
Section 1: Learning Go Data Structures and Algorithms
Lecture 1 The Course Overview
Lecture 2 Basics of Go
Lecture 3 Writing a Hello World Program
Lecture 4 Variables and Elementary Types
Lecture 5 Applying Functions
Lecture 6 Forming Control Structures
Lecture 7 Data Structures - Array, Slices, and Maps
Lecture 8 Structs and Methods
Lecture 9 Error Handling
Lecture 10 Single and Double Linked Lists
Lecture 11 Implementing Stacks
Lecture 12 Implementing Queue (Alternative Channel Implementation)
Lecture 13 Binary Search and Trees
Lecture 14 Generating Channels
Lecture 15 Multiplex and Demultiplex with Fan In/Out
Lecture 16 Implementing Worker Pools
Lecture 17 Building a (Tiny) Distributed Search Engine
Section 2: Introduction to Go Classical Patterns
Lecture 18 The Course Overview
Lecture 19 Installing Go
Lecture 20 Starting with Hello World
Lecture 21 Flow Control
Lecture 22 Functions
Lecture 23 Arrays, Slices, and Maps
Lecture 24 Pointers, Structures, and Interfaces
Lecture 25 Testing and TDD
Lecture 26 Libraries
Lecture 27 Go Tools
Lecture 28 Singleton Design Pattern
Lecture 29 Builder Design Pattern
Lecture 30 Factory Method
Lecture 31 Abstract Factory
Lecture 32 Prototype Design Pattern
Lecture 33 Composite Design Pattern
Lecture 34 Adapter Design Pattern
Lecture 35 Bridge Design Pettern
Lecture 36 Proxy Design Pattern
Lecture 37 Decorator Design Pattern
Lecture 38 Facade Design Pattern
Lecture 39 Flyweight Design Pattern
Section 3: Go Behavioral Patterns
Lecture 40 The Course Overview
Lecture 41 Strategy Design Pattern
Lecture 42 Chain of Responsibility Pattern
Lecture 43 Command Design Pattern
Lecture 44 Template Design Pattern
Lecture 45 Memento Design Pattern
Lecture 46 Interpreter Design Pattern
Lecture 47 Visitor Design Pattern
Lecture 48 State Design Pattern
Lecture 49 Mediator Design Pattern
Lecture 50 Observer Design Pattern
Section 4: Go Concurrency
Lecture 51 The Course Overview
Lecture 52 Defining Concurrency
Lecture 53 Goroutines
Lecture 54 Callbacks
Lecture 55 Mutexes
Lecture 56 Channels
Lecture 57 Using It all – Concurrent Singleton
Lecture 58 Barrier Concurrency Pattern
Lecture 59 Future Design Pattern
Lecture 60 Pipeline Design Pattern
Understanding the basics to get started with Golang,Implementing stacks and queues & data structure,Exploring different concurrency models for data processing,Build your own tiny distributed search engine,Encapsulate the creation of complex objects in an idiomatic way in Go,Create unique instances that cannot be duplicated within a program,Understand the importance of object encapsulation to provide clarity and maintainability,Learn most Go primitives and write concurrent apps,Develop some classical design patterns with concurrent structures to maximize parallelism
https://www.udemy.com/course/go-data-structures-algorithms-and-design-patterns-with-go/