Make Your Own Pixel Art is a complete, illustrated introduction to the creation of pixel art aimed at beginners just starting out right through to the experienced pixel artist wanting to enhance their skills. Hand anyone a pencil and paper and they can start drawing, but it´s just as easy to draw digitally using a keyboard and mouse. With Make Your Own Pixel Art, pixel artist Jennifer Dawe and game designer Matthew Humphries walk you step-by-step through the available tools, pixel art techniques, the importance of shapes, colors, shading, and how to turn your art into animation. By the end of the book, you´ll be creating art far beyond what´s possible on paper! Make Your Own Pixel Art will teach you about: - Creating pixel art using the most popular art software and the common tools they provide - Drawing with pixels, including sculpting, shading, texture, and color use - The basics of motion and how to animate your pixel art creations - Best practices for saving, sharing, sketching, and adding emotion to your art With a dash of creativity and the help of Make Your Own Pixel Art, your digital drawings can be brought to life, shared with the world, and form a basis for a career in art, design, or the video games industry.
A basic primer for all employees on using Lean Six Sigma to meet your company´s goals and your customers´ needs Lean Six Sigma combines the two most important and popular quality trends of our time: Six Sigma and Lean Production. In this plain-English guide, you´ll discover how this remarkable quality improvement method will help you identify and eliminate waste, cut costs and grow revenue, enhance your job skills, and even make work more meaningful.What is Lean Six Sigma? reveals why companies are implementing this strategy, and walks you through the foundations of Lean Six Sigma, explaining the ´´four keys´´ and how they apply to your own job:Delight your customers with speed and quality Improve your processes Work together for maximum gain Base decisions on data and facts Featuring charts, diagrams, and case studies of teams who have used these methods to improve their workplace, What is Lean Six Sigma? tells you what you need to know to make this strategy a success in your organization.
Introducing the IBM SPSS Modeler, this book guides readers through data mining processes and presents relevant statistical methods. There is a special focus on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs. The variety of exercises and solutions as well as an accompanying website with data sets and SPSS Modeler streams are particularly valuable. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice.
In many decision problems, it is a priori known that the target function should satisfy certain constraints imposed by, for example, economic theory or a human-decision maker. One common type is the monotonicity constraint stating that the greater an input is, the greater the output must be, all other inputs being equal. Well-known examples include investment decisions, medical diagnosis, selection and evaluation tasks. However, often the models obtained by traditional data mining techniques alone does not meet these constraints. Therefore, this book provides a thorough study on the incorporation of monotonicity constraints into a data mining process to improve knowledge discovery and facilitate the decision-making process for end-users by deriving more accurate and plausible decision models. The main contributions include a novel procedure to test the degree of monotonicity of a data set, a greedy algorithm to transform non-monotone into monotone data, and extended and novel approaches to build monotone decision models. The theoretical and empirical findings should be valuable to graduates, researchers and practitioners involved in the study and development of data mining systems.
This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background.
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you´ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You´ll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
So you need to set up a SAN? Here´s how to design, implement, and manage one! Whether you´re a complete novice or you already have a bit of knowledge about storage area networks, this book is almost guaranteed to make your job easier. From the basics for beginners to advanced features like snapshot copies, storage virtualization, and heading off problems before they happen, here´s what you need to do the job with confidence! * Getting started - understand what SANs are, whether you need one, and what you need to build one * Design basics - learn to use loops, switches, and the fabric layer, and design your SAN for peak performance * No surprises - create a disaster-recovery plan with the appropriate guidelines and choose a remote site and data replication method * SANs united - see how to connect or extend SANs and how compression can reduce costs * Wait, back up - compare tape, disk, network, and SAN backup methods to choose the solution you need * What if it breaks? - follow great troubleshooting tips to help you find and fix a problem * De-dupe, de-dupe - find out how data de-duplication makes sense for backup, replication, and retention * It´s virtual - explore different types of virtualization and what they offer Open the book and find: * What RAID is and why it´s important * Issues to consider when planning your SAN * A translation of all those pesky acronyms * What to do when your server gets the hiccups * How to use CDP and CDR * What you should beware of with storage virtualization * Hardware- and software-based copy solutions * SAN best practices
An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers who share their tips, tricks, best practices, and real-world advice gleaned from years of experience. Sharpen your Python skills as you dive deep into the Python programming language with Serious Python. You´ll cover a range of advanced topics like multithreading and memorization, get advice from experts on things like designing APIs and dealing with databases, and learn Python internals to help you gain a deeper understanding of the language itself. Written for developers and experienced programmers, Serious Python brings together over 15 years of Python experience to teach you how to avoid common mistakes, write code more efficiently, and build better programs in less time. As you make your way through the book´s extensive tutorials, you´ll learn how to start a project and tackle topics like versioning, layouts, coding style, and automated checks. You´ll learn how to package your software for distribution, optimize performance, use the right data structures, define functions efficiently, pick the right libraries, build future-proof programs, and optimize your programs down to the bytecode. You´ll also learn how to: - Make and use effective decorators and methods, including abstract, static, and class methods - Employ Python for functional programming using generators, pure functions, and functional functions - Extend flake8 to work with the abstract syntax tree (AST) to introduce more sophisticated automatic checks into your programs - Apply dynamic performance analysis to identify bottlenecks in your code - Work with relational databases and effectively manage and stream data with PostgreSQL If you´ve been looking for a way to take your Python skills from good to great, Serious Python will help you get there. Learn from the experts and get seriously good at Python with Serious Python!
For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text. The tenth edition includes new section and chapters, updated problems, and state-of-the-practice operations research software used in conjunction with the examples from the text. McGraw-Hill is proud to offer Connect with the tenth edition of Hillier´s, Introduction to Operations Research. This innovative and powerful system helps your students learn more efficiently and gives you the ability to customize your homework problems simply and easily. Track individual student performance - by question, assignment, or in relation to the class overall with detailed grade reports. ConnectPlus provides students with all the advantages of Connect, plus 24/7 access to an eBook. Hillier´s Introduction to Operations Research, tenth edition, includes the power of McGraw-Hill´s LearnSmart--a proven adaptive learning system that helps students learn faster, study more efficiently, and retain more knowledge through a series of adaptive questions. This innovative study tool pinpoints concepts the student does not understand and maps out a personalized plan for success.
Work with blockchain and understand its potential application beyond cryptocurrencies in the domains of healthcare, Internet of Things, finance, decentralized organizations, and open science. Featuring case studies and practical insights generated from a start-up spun off from the author´s own lab, this book covers a unique mix of topics not found in others and offers insight into how to overcome real hurdles that arise as the market and consumers grow accustomed to blockchain based start-ups. You´ll start with a review of the historical origins of blockchain and explore the basic cryptography needed to make the blockchain work for Bitcoin. You will then learn about the technical advancements made in the surrounded ecosystem: the Ethereum virtual machine, Solidity, Colored Coins, the Hyperledger Project, Blockchain-as-a-service offered through IBM, Microsoft and more. This book looks at the consequences of machine-to-machine transactions using the blockchain socially, technologically, economically and politically. Blockchain Enabled Applications provides you with a clear perspective of the ecosystem that has developed around the blockchain and the various industries it has penetrated. What You´ll Learn Implement the code-base from Fabric and Sawtooth, two open source blockchain-efforts being developed under the Hyperledger Project Evaluate the benefits of integrating blockchain with emerging technologies, such as machine learning and artificial intelligence in the cloud Use the practical insights provided by the case studies to your own projects or start-up ideas Set up a development environment to compile and manage projects Who This Book Is For Developers who are interested in learning about the blockchain as a data-structure, the recent advancements being made and how to implement the code-base. Decision makers within large corporations (product managers, directors or CIO level executives) interested in implementing the blockchain who need more practical insights and not just theory.