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Developing Turn-Based Multiplayer Games: with GameMaker Studio 2 and NodeJS

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Create your first turn-based multiplayer game using GameMaker Studio 2’s built-in networking functions as well as using a simple NodeJS server. This book introduces you to the complexities of network programming and communication, where the focus will be on building the game from the ground up.  You will start with a brief introduction to GameMaker Studio 2 and GML coding before diving into the essential principles of game design. 

Following this, you will go through an introductory section on NodeJS where you will learn how to create a server and send and receive data from it as well as integrating it with GameMaker Studio. You will then apply multiplayer gaming logic to your server and unlock multiplayer game features such as locating a player, syncing their data, and recording their session.  


What You Will Learn
  • Discover the architecture of GameMaker Studio 2 
  • Add new features to your game with NodeJS modules
  • Integrate GameMaker Studio 2 with NodeJS 
  • Master GameMaker Studio 2's built-in networking functions


Who This Book Is For


GameMaker Studio users who want to understand how the networking components of GMS 2 work. Basic JavaScript knowledge is required.

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Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest...
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data
Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data

Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.

Key Features

  • Get up and running with the Jupyter ecosystem and some example datasets
  • Learn about key machine...

Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along...
The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects
The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects

Become a Blockchain developer and design, build, publish, test, maintain and secure scalable decentralized Blockchain projects using Bitcoin, Ethereum, NEO, EOS and Hyperledger.  

This book helps you understand Blockchain beyond development and crypto to better harness its power and capability. You will learn...

Practical Apache Spark: Using the Scala API
Practical Apache Spark: Using the Scala API
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic....
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