Resources by Type

Book's

Grokking Deep Learning

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.

Graph-Powered Machine Learning

At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs.

Google Cloud Platform in Action

Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance.

Go Web Programming

The Go language handles the demands of scalable, high-performance web applications by providing clean and fast compiled code, garbage collection, a simple concurrency model, and a fantastic standard library. It's perfect for writing microservices or building scalable, maintainable systems.

Go in Practice

Go in Practice guides you through 70 real-world techniques in key areas like package management, microservice communication, and more. Following a cookbook-style Problem/Solution/Discussion format, this practical handbook builds on the foundational concepts of the Go language and introduces specific strategies you can use in your day-to-day applications.

GitOps and Kubernetes

GitOps and Kubernetes teaches you how to use Git and the GitOps methodology to manage a Kubernetes cluster. The book interleaves theory with practice, presenting core Ops concepts alongside easy-to-implement techniques so you can put GitOps into action.

Get Programming with Scala

Scala is a multi-style programming language for the JVM that supports both object-oriented and functional programming. Master Scala, and you'll be well-equipped to match your programming approach to the type of problem you're dealing with.

Get Programming with Node.js

Get Programming with Node.js teaches you to build web servers using JavaScript and Node. In this engaging tutorial, you'll work through eight complete projects, from writing the code for your first web server to adding live chat to a web app.

Get Programming

Get Programming: Learn to code with Python teaches you the basics of computer programming using the Python language. In this exercise-driven book, you'll be doing something on nearly every page as you work through 38 compact lessons and 7 engaging capstone projects.

GANs in Action

GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.

Functional Programming in JavaScript

Functional Programming in JavaScript teaches JavaScript developers functional techniques that will improve extensibility, modularity, reusability, testability, and performance. Through concrete examples and jargon-free explanations, this book teaches you how to apply functional programming to real-life development tasks

Functional Programming in Java

Functional Programming in Java teaches Java developers how to incorporate the most powerful benefits of functional programming into new and existing Java code. You'll learn to think functionally about coding tasks in Java and use FP to make your applications easier to understand, optimize, maintain, and scale.

Functional Programming in C#

Functional Programming in C# teaches you to apply functional thinking to real-world problems using the C# language. The book, with its many practical examples, is written for proficient C# programmers with no prior FP experience. It will give you an awesome new perspective.

Exploring the Data Jungle

Exploring the Data Jungle: Finding, Preparing, and Using Real-World Data is a collection of three hand-picked chapters introducing you to the often-overlooked art of putting unfamiliar data to good use.

Exploring Swift

Exploring Swift distils the knowledge of three expert Manning authors, introducing you to how Swift can handle a wide array of unique problems.

Exploring Kubernetes

Exploring Kubernetes is a collection of chapters from Kubernetes in Action by Marko Luk_a, member of Red Hat's Cloud Enablement Team. In it, you'll learn to take your first steps in the world of Kubernetes and how to use it with Docker to control your clusters.

Exploring .NET Core with Microservices

Exploring .NET Core with Microservices, ASP.NET Core, and Entity Framework Core is a collection of five hand-picked chapters introducing you to the art of applying modern development practices and patterns to your .NET Core projects.

Exploring Deep Learning for Language

Exploring Deep Learning for Language is a collection of chapters from five Manning books, handpicked by machine learning expert Jeff Smith. This free eBook begins with an overview of natural language processing before moving on to techniques for working with language data.

Exploring Data Science

Exploring Data Science is a collection of five hand-picked chapters introducing you to various areas in data science and explaining which methodologies work best for each.

Exploring Cloud Computing

Exploring Cloud Computing is a collection of hand-picked chapters introduction to the two most popular cloud providers, Amazon and Google, and insights to help you get started.

Essential Natural Language Processing

Getting Started with Natural Language Processing gives you everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you're a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you.