Download or read book Understanding Coding Through Simulations written by Patricia Harris, Ph.D. and published by The Rosen Publishing Group, Inc. This book was released on 2016-12-15 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulations help people understand large, complex problems using smaller, simpler models. This book delves into the history and thinking behind simulations. Readers will learn about Georg Leopold von Reiswitz’s development of a Kriegsspiel for military training, and other major developments. This volume also gives examples of ways that simulations can be useful, and discusses data sources. A concluding simple simulation will round out the learning experience, and encourage readers to create their own simulation. Sidebars and photographs accompany the text to aid readers in their exploration of simulations.
Download or read book Introduction to Computation and Programming Using Python second edition written by John V. Guttag and published by MIT Press. This book was released on 2016-08-12 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.
Download or read book The Nature of Code written by Daniel Shiffman and published by No Starch Press. This book was released on 2024-09-03 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: All aboard The Coding Train! This beginner-friendly creative coding tutorial is designed to grow your skills in a fun, hands-on way as you build simulations of real-world phenomena with “The Coding Train” YouTube star Daniel Shiffman. What if you could re-create the awe-inspiring flocking patterns of birds or the hypnotic dance of fireflies—with code? For over a decade, The Nature of Code has empowered countless readers to do just that, bridging the gap between creative expression and programming. This innovative guide by Daniel Shiffman, creator of the beloved Coding Train, welcomes budding and seasoned programmers alike into a world where code meets playful creativity. This JavaScript-based edition of Shiffman’s groundbreaking work gently unfolds the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations. Embark on this extraordinary adventure with projects involving: A physics engine: Simulate the push and pull of gravitational attraction. Flocking birds: Choreograph the mesmerizing dance of a flock. Branching trees: Grow lifelike and organic tree structures. Neural networks: Craft intelligent systems that learn and adapt. Cellular automata: Uncover the magic of self-organizing patterns. Evolutionary algorithms: Play witness to natural selection in your code. Shiffman’s work has transformed thousands of curious minds into creators, breaking down barriers between science, art, and technology, and inviting readers to see code not just as a tool for tasks but as a canvas for boundless creativity. Whether you’re deciphering the elegant patterns of natural phenomena or crafting your own digital ecosystems, Shiffman’s guidance is sure to inform and inspire. The Nature of Code is not just about coding; it’s about looking at the natural world in a new way and letting its wonders inspire your next creation. Dive in and discover the joy of turning code into art—all while mastering coding fundamentals along the way. NOTE: All examples are written with p5.js, a JavaScript library for creative coding, and are available on the book's website.
Download or read book Understanding Molecular Simulation written by Daan Frenkel and published by Elsevier. This book was released on 2001-10-19 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text. Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on: - Transition path sampling and diffusive barrier crossing to simulaterare events - Dissipative particle dynamic as a course-grained simulation technique - Novel schemes to compute the long-ranged forces - Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations - Multiple-time step algorithms as an alternative for constraints - Defects in solids - The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules - Parallel tempering for glassy Hamiltonians Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.
Download or read book Introduction to Scientific Programming and Simulation Using R written by Owen Jones and published by CRC Press. This book was released on 2014-06-12 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear,
Download or read book Invent Your Own Computer Games with Python 4th Edition written by Al Sweigart and published by No Starch Press. This book was released on 2016-12-16 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language—even if you’ve never programmed before! Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you’ll learn key programming and math concepts that will help you take your game programming to the next level. Learn how to: –Combine loops, variables, and flow control statements into real working programs –Choose the right data structures for the job, such as lists, dictionaries, and tuples –Add graphics and animation to your games with the pygame module –Handle keyboard and mouse input –Program simple artificial intelligence so you can play against the computer –Use cryptography to convert text messages into secret code –Debug your programs and find common errors As you work through each game, you’ll build a solid foundation in Python and an understanding of computer science fundamentals. What new game will you create with the power of Python? The projects in this book are compatible with Python 3.
Download or read book Coding Games in Scratch written by Jon Woodcock and published by Penguin. This book was released on 2019-08-06 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scratch 3.0 has landed! Stay ahead of the curve with this fully updated guide for beginner coders. Coding is not only a highly sought-after skill in our digital world, but it also teaches kids valuable skills for life after school. This book teaches important strategies for solving problems, designing projects, and communicating ideas, all while creating games to play with their friends. Children will enjoy the step-by-step visual approach that makes even the most difficult coding concepts easy to master. They will discover the fundamentals of computer programming and learn to code through a blend of coding theory and the practical task of building computer games themselves. The reason coding theory is taught through practical tasks is so that young programmers don't just learn how computer code works - they learn why it's done that way. With Coding Games in Scratch, kids can build single and multiplayer platform games, create puzzles and memory games, race through mazes, add animation, and more. It also supports STEM education initiatives and the maker movement. Follow Simple Steps – Improve Your Skills – Share Your Games! If you like playing computer games, why not create your own? Essential coding concepts are explained using eight build-along game projects. Coding Games In Scratch guides young coders step-by-step, using visual samples, easy-to-follow instructions, and fun pixel art. This coding book for kids has everything you need to build amazing Scratch 3.0 games, including thrilling racing challenges, zany platform games, and fiendish puzzles. Follow the simple steps to become an expert coder using the latest version of the popular programming language Scratch 3.0 in this new edition. Improve your coding skills and create your own games before remixing and customizing them. Share your games online and challenge friends and family to beat each other's scores! In this book, you will: - Learn about setting the scene, what makes a good game and playability - Discover objects, rules, and goals - Explore hacks and tweaks, camera angles, fine-tuning and controls - And much more Computer coding teaches kids how to think creatively, work collaboratively, and reason systematically, and is quickly becoming a necessary and sought-after skill. DK's computer coding books for kids are full of fun exercises with step-by-step guidance, making them the perfect introductory tools for building vital skills in computer programming. Add Coding Projects in Scratch and Coding Projects in Python to your collection.
Download or read book Learn matrix code simulation with MATLAB by Md Al Amin Imam Hasan Al Amin written by Md. Al-Amin and published by BookRix. This book was released on 2023-12-09 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Unlock the power of simulation and coding with 'Learn Matrix Code Simulation with MATLAB' by Md. Al-Amin and Imam Hasan Al-Amin. Dive into the world of matrix manipulation, algorithms, and simulations using MATLAB, a powerful computing environment. This comprehensive guide equips readers with the fundamental knowledge and practical skills needed to harness MATLAB's capabilities in simulating complex systems, understanding matrix operations, and implementing algorithms. From basic concepts to advanced applications, this book takes a hands-on approach, providing step-by-step explanations and coding examples that empower readers to create their simulations. Explore the realm of matrix mathematics, understand the nuances of MATLAB programming, and discover how to simulate real-world scenarios, from electrical circuits to mechanical systems, using matrix-based algorithms. Whether you're a student, researcher, or professional seeking to enhance your MATLAB proficiency, 'Learn Matrix Code Simulation with MATLAB' is your essential companion. Uncover the secrets of simulation, master matrix code manipulation, and unleash your potential in MATLAB programming with this indispensable guide."
Download or read book Understanding Coding by Building Algorithms written by Patricia Harris, Ph.D. and published by The Rosen Publishing Group, Inc. This book was released on 2016-12-15 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed guide explores the historical development of algorithms and how they are used as a way of teaching computers to work through problems. Named for Persian mathematician Muhammad ibn Musa al-Khwarizmi, modern algorithms and functions make programing more efficient. Algorithms are simplified for readers using words, flowcharts, and pseudo code to build a beginning understanding of algorithms and how they are used in our modern, computerized world. Young coders and STEM students are sure to strengthen their technical skills with an in-depth and fun exploration of this essential coding topic.
Download or read book Introduction to Scientific Programming and Simulation Using R Second Edition written by Owen Jones and published by CRC Press. This book was released on 2014-06-12 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Program Stochastic Models Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data. The book’s four parts teach: Core knowledge of R and programming concepts How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation Essentials of probability, random variables, and expectation required to understand simulation Stochastic modelling and simulation, including random number generation and Monte Carlo integration In a new chapter on systems of ordinary differential equations (ODEs), the authors cover the Euler, midpoint, and fourth-order Runge-Kutta (RK4) schemes for solving systems of first-order ODEs. They compare the numerical efficiency of the different schemes experimentally and show how to improve the RK4 scheme by using an adaptive step size. Another new chapter focuses on both discrete- and continuous-time Markov chains. It describes transition and rate matrices, classification of states, limiting behaviour, Kolmogorov forward and backward equations, finite absorbing chains, and expected hitting times. It also presents methods for simulating discrete- and continuous-time chains as well as techniques for defining the state space, including lumping states and supplementary variables. Building readers’ statistical intuition, Introduction to Scientific Programming and Simulation Using R, Second Edition shows how to turn algorithms into code. It is designed for those who want to make tools, not just use them. The code and data are available for download from CRAN.
Download or read book History of Programming Languages written by Richard L. Wexelblat and published by Academic Press. This book was released on 2014-05-27 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: History of Programming Languages presents information pertinent to the technical aspects of the language design and creation. This book provides an understanding of the processes of language design as related to the environment in which languages are developed and the knowledge base available to the originators. Organized into 14 sections encompassing 77 chapters, this book begins with an overview of the programming techniques to use to help the system produce efficient programs. This text then discusses how to use parentheses to help the system identify identical subexpressions within an expression and thereby eliminate their duplicate calculation. Other chapters consider FORTRAN programming techniques needed to produce optimum object programs. This book discusses as well the developments leading to ALGOL 60. The final chapter presents the biography of Adin D. Falkoff. This book is a valuable resource for graduate students, practitioners, historians, statisticians, mathematicians, programmers, as well as computer scientists and specialists.
Download or read book Coding Games written by Robert C Matthews and published by . This book was released on 2020-11-03 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning how to code properly sometimes can be very perplexing and needlessly complicated. Or even worse, boring. Instead of actively learning new programs or exciting new applications of your code, you are forced to go through hundreds of boring texts, all filled with confusing texts and hopelessly mysterious symbols. This wasn't what you expected! Surely there must be a better way to learn how to program and make coding more fun! And there is. There exists one simple solution that, in one fell swoop can transform learning how to code from an insanely boring experience to an entertaining pleasant journey. How you wonder? By making the whole experience a game!In this book Coding Games, we will show you what coding is, its fundamental concepts, and how you can master the basic principles of coding through games. For anyone tired of learning to code boringly, or just someone looking for a more fun way to attract their young ones into computer programming, this book will be quite an illuminating read for you! If you're looking for tips and tricks to keep coding interesting and fun, then grab your copy today!
Download or read book Modeling and Simulation in Python written by Allen B. Downey and published by No Starch Press. This book was released on 2023-05-30 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and Simulation in Python teaches readers how to analyze real-world scenarios using the Python programming language, requiring no more than a background in high school math. Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions. Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.
Download or read book Programming Discrete Simulations written by M. A. Pollatschek and published by Cmp Books. This book was released on 1995-01-01 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now you can use discrete simulation to model scheduling that is too complex for direct analysis. How many bags of beans must a grocer keep on the shelf? When does an intersection need a stoplight? Programming Discrete Simulations provides statistical computer models to understand these scheduling and inventory tasks. Moshe Pollatschek adroitly bridges between explaining sound statistical principles and solving real-world problems with modeling. Here are practical explanations of discrete simulation. Fifteen examples range from simple telephone queue scheduling to a complex assembly task involving parts scheduling and component matching. You also get a useful set of tools for writing discrete simulation programs - the Simulation Subroutine Set. The companion code disk includes the library and all the examples. The Simulation Subroutine Set library and all example simulations are coded in C. An appendix summarizes the parallel constructions for FORTRAN, BASIC, and Pascal. Pollatschek clearly advises you how to avoid bad programming choices, explaining the interactions between programming methods and statistical analysis. The mathematical explanations are kept straightforward, while still introducing sophisticated concepts. The math understanding required of the reader is comparable to algebra.
Download or read book Game Programming Patterns written by Robert Nystrom and published by Genever Benning. This book was released on 2014-11-03 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need. You will learn how to write a robust game loop, how to organize your entities using components, and take advantage of the CPUs cache to improve your performance. You'll dive deep into how scripting engines encode behavior, how quadtrees and other spatial partitions optimize your engine, and how other classic design patterns can be used in games.
Download or read book Building Software for Simulation written by James J. Nutaro and published by John Wiley & Sons. This book was released on 2011-03-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building Software for Simulation A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. The book approaches the topic from the perspective of Zeigler’s theory of modeling and simulation, introducing the theory’s fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: Working with fundamental abstractions for simulating dynamic systems Developing basic simulation algorithms for continuous and discrete event models Combining continuous and discrete event simulations into a coherent whole Applying strategies for testing a simulation Understanding the theoretical foundations of the modeling constructs and simulation algorithms The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools.
Download or read book Coding for Kids Games written by Leo Garner and published by . This book was released on 2021-01-03 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want your child to learn coding at an early stage? Is your kid attracted to coding, and you are thinking about how you can engage him with the subject? If yes, then keep reading! Get the best book to introduce your child to the world of coding-a thrilling and fun-filled book to offer them the best start. Ideal for kids ages four to seven, this Coding for Kids Games is loaded with graphics that will get your kid a head start at coding and become future specialists in the STEM fields. The games and practical information included in this book will help build a strong foundation for offline coding. That's correct; no computer is needed. With this book, your kid's curious mind will be loaded with the basics of coding from scratch and get familiar with sequencing. They can take the initial step towards developing analytical skills, problem-solving, and creative thinking with this awesome coding game. After solving this book, your child will be prepared to take on languages such as Swift and Scratch. This book can be a practical way for your kid to quickly understand the coding concepts and give an exciting introduction to programming. Here's a preview of what you'll find inside: What is coding Why learn to code? What is programming? What are the programs? Programming languages Learning to program Coding in python Coding in scratch And much more!
