Programming The Ti 83 Plus Ti 84 Plus
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| Author | : Christopher Mitchell |
| Publisher | : Simon and Schuster |
| Total Pages | : 509 |
| Release | : 2012-09-13 |
| Genre | : Computers |
| ISBN | : 1638352852 |
Summary Programming the TI-83 Plus/TI-84 Plus is an example-filled, hands-on tutorial that introduces students, teachers, and professional users to programming with the TI-83 Plus and TI-84 Plus graphing calculators. This fun and easy-to-read book immediately immerses you in your first programs and guides you concept-by-concept, example-by-example. You'll learn to think like a programmer as you use the TI-BASIC language to design and write your own utilities, games, and math programs. About the Technology The TI-83 Plus and TI-84 Plus are more than just powerful graphing calculatorst—they are the perfect place to start learning to program. The TI-BASIC language is built in, so you have everything you need to create your own math and science programs, utilities—even games. About the Book Programming the TI-83 Plus/TI-84 Plus teaches universal programming concepts and makes it easy for students, teachers, and professionals to write programs for the world's most popular graphing calculators. This friendly tutorial guides you concept-by-concept, immediately immersing you in your first programs. It introduces TI-BASIC and z80 assembly, teaches you tricks to slim down and speed up your programs, and gives you a solid conceptual base to explore other programming languages. This book is written for beginners—no programming backgroundis assumed. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside Works with all models of the TI-83, TI-83+, and TI-84+ Learn to think like a programmer Learn concepts you can apply to any language Advanced concepts such as hybrid BASIC and ASM Table of Contents PART 1 GETTING STARTED WITH PROGRAMMING Diving into calculator programming Communication: basic input and output Conditionals and Boolean logic Control structures Theory interlude: problem solving and debugging PART 2 BECOMING A TI-BASIC MASTER Advanced input and events Pixels and the graphscreen Graphs, shapes, and points Manipulating numbers and data types PART 3 ADVANCED CONCEPTS; WHAT'S NEXT Optimizing TI-BASIC programs Using hybrid TI-BASIC libraries Introducing z80 assembly Now what? Expanding your programming horizons
| Author | : Paul Orland |
| Publisher | : Manning Publications |
| Total Pages | : 686 |
| Release | : 2021-01-12 |
| Genre | : Computers |
| ISBN | : 1617295353 |
In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! About the book In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks
| Author | : Paul R. Thie |
| Publisher | : John Wiley & Sons |
| Total Pages | : 476 |
| Release | : 2011-09-15 |
| Genre | : Mathematics |
| ISBN | : 1118165454 |
Praise for the Second Edition: "This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustrations, and applications." —Mathematical Reviews of the American Mathematical Society An Introduction to Linear Programming and Game Theory, Third Edition presents a rigorous, yet accessible, introduction to the theoretical concepts and computational techniques of linear programming and game theory. Now with more extensive modeling exercises and detailed integer programming examples, this book uniquely illustrates how mathematics can be used in real-world applications in the social, life, and managerial sciences, providing readers with the opportunity to develop and apply their analytical abilities when solving realistic problems. This Third Edition addresses various new topics and improvements in the field of mathematical programming, and it also presents two software programs, LP Assistant and the Solver add-in for Microsoft Office Excel, for solving linear programming problems. LP Assistant, developed by coauthor Gerard Keough, allows readers to perform the basic steps of the algorithms provided in the book and is freely available via the book's related Web site. The use of the sensitivity analysis report and integer programming algorithm from the Solver add-in for Microsoft Office Excel is introduced so readers can solve the book's linear and integer programming problems. A detailed appendix contains instructions for the use of both applications. Additional features of the Third Edition include: A discussion of sensitivity analysis for the two-variable problem, along with new examples demonstrating integer programming, non-linear programming, and make vs. buy models Revised proofs and a discussion on the relevance and solution of the dual problem A section on developing an example in Data Envelopment Analysis An outline of the proof of John Nash's theorem on the existence of equilibrium strategy pairs for non-cooperative, non-zero-sum games Providing a complete mathematical development of all presented concepts and examples, Introduction to Linear Programming and Game Theory, Third Edition is an ideal text for linear programming and mathematical modeling courses at the upper-undergraduate and graduate levels. It also serves as a valuable reference for professionals who use game theory in business, economics, and management science.
| Author | : Tilman M. Davies |
| Publisher | : No Starch Press |
| Total Pages | : 833 |
| Release | : 2016-07-16 |
| Genre | : Computers |
| ISBN | : 1593276516 |
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
| Author | : Rodnay Zaks |
| Publisher | : Sybex |
| Total Pages | : 632 |
| Release | : 1982 |
| Genre | : Computers |
| ISBN | : |
Covers Programming the Z80 in Assembly Language & Teaches Both Novices & Advanced Programmers to Write Complete Z80 Programs. Requires No Prior Knowledge of Programming
| Author | : Al Sweigart |
| Publisher | : No Starch Press |
| Total Pages | : 433 |
| Release | : 2021-06-25 |
| Genre | : Computers |
| ISBN | : 1718501242 |
Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity. If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches. These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online. You’ll create: • Hangman, Blackjack, and other games to play against your friends or the computer • Simulations of a forest fire, a million dice rolls, and a Japanese abacus • Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver • A first-person 3D maze game • Encryption programs that use ciphers like ROT13 and Vigenère to conceal text If you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs!
| Author | : Nielson Phu |
| Publisher | : |
| Total Pages | : 324 |
| Release | : 2015-01-06 |
| Genre | : |
| ISBN | : 9780989496421 |
For more sample chapters and information, check out http: //thecollegepanda.com/the-advanced-guide-to-sat-math/ This book brings together everything you need to know to score high on the math section, from the simplest to the most obscure concepts. Unlike most other test prep books, this one is truly geared towards the student aiming for the perfect score. It leaves no stones unturned. Inside, You'll Find: Clear explanations of the tested math concepts, from the simplest to the most obscure Hundreds of examples to illustrate all the question types and the different ways they can show up Over 500 practice questions and explanations to help you master each topic The most common mistakes students make (so you don't) A chapter completely devoted to tricky question students tend to miss A question difficulty distribution chart that tells you which questions are easy, medium, and hard A list of relevant questions from The Official SAT Study Guide at the end of each chapter A cheat sheet of strategies for all the common question patterns A chart that tells you how many questions you need to answer for your target score
| Author | : Johnny Saldana |
| Publisher | : SAGE |
| Total Pages | : 282 |
| Release | : 2009-02-19 |
| Genre | : Reference |
| ISBN | : 1446200124 |
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.
| Author | : David Diez |
| Publisher | : |
| Total Pages | : |
| Release | : 2015-07-02 |
| Genre | : |
| ISBN | : 9781943450046 |
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
| Author | : Kirk Weiler |
| Publisher | : |
| Total Pages | : |
| Release | : 2016-06-01 |
| Genre | : |
| ISBN | : 9781944719067 |
