Storytelling in DesignWith the wide variety of devices, touch points, and channels in use, your ability to control how people navigate your well-crafted experiences is fading. Yet it's still important to understand where people are in their journey if you're to deliver the right content and interactions atthe right time and on the right device.
This practical guide shows you how storytelling can make a powerful difference in product design. Author Anna Dahlström details the many ways you can use storytelling in your projects and throughout your organization. By applying tried-and-tested principles from film and fiction to the context of design and business, you'll learn to create great product experiences.
Learn how the anatomy of a great story can make a difference in product design; Explore how traditional storytelling principles, tools, and methods relate to key product design aspects; Understand how purposeful storytelling helps tell the right story and move people into action; Use storytelling p ...
Invent Your Own Computer Games with PythonInvent Your Own Computer Games with Python teaches you how to program in the Python language. Each chapter gives you the complete source code for a new game, and then teaches the programming concepts from the examples. Games include Guess the Number, Hangman, Tic Tac Toe, and Reversi. This book also has an introduction to making games with 2D graphics using the Pygame framework.
Programming isn't hard. But it is hard to find learning materials that teach you to do interesting things with programming. Other computer books go over many topics most newbie coders don't need. This book will teach you how to program your own computer games. You'll learn a useful skill and have fun games to show for it! ...
Beginning Apache Spark Using Azure DatabricksAnalyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running analytics on large clusters in Azure and AWS, using Apache Spark with Databricks on top. Discover how to squeeze the most value out of your data at a mere fraction of what classical analytics solutions cost, while at the same time getting the results you need, incrementally faster.
This book explains how the confluence of these pivotal technologies gives you enormous power, and cheaply, when it comes to huge datasets. You will begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for the machinery in advance. From there you will learn how Apache Spark, an open source framework, can enable all those CPUs for data analytics use. Finally, you will see how services such as Databricks provide the power of Apache Spark, without you having to know anything about configu ...
Thinking in PandasUnderstand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures.
Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame f ...
Webapps in GoThe book teaches you how to write web applications in Go without using a framework. It is possible to write a webapp without using any framework in Go. Each new concept will be explained via a valid code example. The book is based of a todo list manager I wrote in Go, and at any point in time, you can check the source code of the todo list manager. ...
Quantum Computing and Blockchain in BusinessAre quantum computing and Blockchain on a collision course or will they be the most important trends of this decade to disrupt industries and life as we know it?
Fintech veteran and venture capitalist Arunkumar Krishnakumar cuts through the hype to bring us a first-hand look into how quantum computing and Blockchain together are redefining industries, including fintech, healthcare, and research. Through a series of interviews with domain experts, he also explores these technologies' potential to transform national and global governance and policies - from how elections are conducted and how smart cities can be designed and optimized for the environment, to what cyberwarfare enabled by quantum cryptography might look like. In doing so, he also highlights challenges that these technologies have to overcome to go mainstream.
Quantum Computing and Blockchain in Business explores the potential changes that quantum computing and Blockchain might bring about in the real world. After exp ...
Physical Modeling in MATLAB, 3rd EditionModeling and simulation are powerful tools for explaining the world, making predictions, designing things that work, and making them work better. Learning to use these tools can be difficult; this book is my attempt to make the experience as enjoyable and productive as possible.
Modeling and simulation are powerful tools for explaining the world, making predictions, designing things that work, and making them work better. Learning to use these tools can be difficult; this book is my attempt to make the experience as enjoyable and productive as possible.
By reading this book - and working on the exercises - you will learn some programming, some modeling, and some simulation: With basic programming skills, you can create models for a wide range of physical systems. My goal is to help you develop these skills in a way you can apply immediately to real-world problems; This book presents the entire modeling process, including model selection, analysis, simulation, and validation. I ex ...
SRE with Java MicroservicesIn a microservices architecture, the whole is indeed greater than the sum of its parts. But in practice, individual microservices can inadvertently impact others and alter the end user experience. Effective microservices architectures require standardization on an organizational level with the help of a platform engineering team.
This practical book provides a series of progressive steps that platform engineers can apply technically and organizationally to achieve highly resilient Java applications. Author Jonathan Schneider covers many effective SRE practices from companies leading the way in microservices adoption. You'll examine several patterns discovered through much trial and error in recent years, complete with Java code examples. ...
3D Game Development with LWJGL 3This book will introduce the main concepts required to write a 3D game using the LWJGL 3 library.
LWJGL is a Java library that provides access to native APIs used in the development of graphics (OpenGL), audio (OpenAL) and parallel computing (OpenCL) applications. This library leverages the high performance of native OpenGL applications while using the Java language.
The initial goal of this book was to learn the techniques involved in writing a 3D game using OpenGL. All the information required was there in the internet but it was not organized and sometimes it was very hard to find and even incomplete or misleading. Author started to collect some materials, develop some examples and decided to organize that information in the form of a book. ...
Machine Learning in the Oil and Gas IndustryApply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and prod ...