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Introduces the features of the GW-BASIC programming language, and covers the screen editor, files, functions, variables, and operators
This reference includes tutorial sections on basic programming concepts and how to control the language. It also includes descriptions of all GW-BASIC functions, statements, and commands, and teaches the art of good programming form.
If you've always wanted to learn basic programming skills on your personal computer, but weren't sure where to start, here's the book you need. You can satisfy your curiousity about programming and establish excellent programming fundamentals for your future ventures into QuickBASIC or Turbo BASIC.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
"Endless Loop" chronicles the complete history of the BASIC programming language--from its humble beginnings at Dartmouth College, to its widespread adoption and dominance in education, to its decline and subsequent modern rebirth.In the early morning hours of May 1, 1964, Dartmouth College birthed fraternal twins: BASIC, the Beginner's All-purpose Symbolic Instruction Code programming language, and, simultaneously, the Dartmouth Time-Sharing System (DTSS). It hadn't been an easy birth, and the gestation period was likewise difficult. BASIC was primarily the idea of one man, mathematics professor John Kemeny, a brilliant Hungarian mathematician who had once been an assistant to Albert Einstein, while the DTSS satisfied the vision of another, mathematics and statistics professor Thomas Kurtz, who had brought a democratizing spirit to Dartmouth's campus in the form of free computing for all.BASIC and DTSS caught on at Dartmouth quickly, with a vast majority of undergraduates (and faculty) making use of the computer system via teletypewriters only several years after its inception. But by the early 1970s, with the personal computer revolution fast approaching, Kemeny and Kurtz began to lose control over BASIC as it achieved widespread popularity outside of Dartmouth. The language was being adapted to run on a wide variety of computers, some much too short of memory to contain the full set of Dartmouth BASIC features. Most notably, Microsoft built its business on the back of ROM-based BASIC interpreters for a variety of microcomputers. Although the language was ubiquitous in schools by the early 1980s, it came under attack by such notables as computer scientist Edsger W. Dijkstra for its lack of structure as well as by Kemeny and Kurtz themselves, who viewed non-Dartmouth "Street BASIC" as blasphemous and saw it as their mission to right the ship through language standardization and the release of True BASIC. But by then it was too late: the era of BASIC's global dominance was over.In "Endless Loop," author Mark Jones Lorenzo documents the history and development of Dartmouth BASIC, True BASIC, Tiny BASIC, Microsoft BASIC--including Altair BASIC, Applesoft BASIC, Color BASIC, Commodore BASIC, TRS-80 Level II BASIC, TI BASIC, IBM BASICA/GW-BASIC, QuickBASIC/QBASIC, Visual Basic, and Small Basic--as well as 9845 BASIC, Atari BASIC, BBC BASIC, CBASIC, Locomotive BASIC, MacBASIC, QB64, Simons' BASIC, Sinclair BASIC, SuperBASIC, and Turbo Basic/PowerBASIC, among a number of other implementations.The ascendance of BASIC paralleled the emergence of the personal computer, so the story of BASIC is first and foremost a story--actually, many interlocking stories--about computers. But it is also a tale of talented people who built a language out of a set of primal ingredients: sweat, creativity, rivalry, jealousy, cooperation, and plain hard work, and then set the language loose in a world filled with unintended consequences. How those unintended consequences played out, leading to the demise of the most popular computer language the world has ever known, is the focus of "Endless Loop."
Widely considered one of the best practical guides to programming, Steve McConnell’s original CODE COMPLETE has been helping developers write better software for more than a decade. Now this classic book has been fully updated and revised with leading-edge practices—and hundreds of new code samples—illustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking—and help you build the highest quality code. Discover the timeless techniques and strategies that help you: Design for minimum complexity and maximum creativity Reap the benefits of collaborative development Apply defensive programming techniques to reduce and flush out errors Exploit opportunities to refactor—or evolve—code, and do it safely Use construction practices that are right-weight for your project Debug problems quickly and effectively Resolve critical construction issues early and correctly Build quality into the beginning, middle, and end of your project
This volume is the first in a self-contained five-volume series devoted to matrix algorithms. It focuses on the computation of matrix decompositions--that is, the factorization of matrices into products of similar ones. The first two chapters provide the required background from mathematics and computer science needed to work effectively in matrix computations. The remaining chapters are devoted to the LU and QR decompositions--their computation and applications. The singular value decomposition is also treated, although algorithms for its computation will appear in the second volume of the series. The present volume contains 65 algorithms formally presented in pseudocode. Other volumes in the series will treat eigensystems, iterative methods, sparse matrices, and structured problems. The series is aimed at the nonspecialist who needs more than black-box proficiency with matrix computations. To give the series focus, the emphasis is on algorithms, their derivation, and their analysis. The reader is assumed to have a knowledge of elementary analysis and linear algebra and a reasonable amount of programming experience, typically that of the beginning graduate engineer or the undergraduate in an honors program. Strictly speaking, the individual volumes are not textbooks, although they are intended to teach, the guiding principle being that if something is worth explaining, it is worth explaining fully. This has necessarily restricted the scope of the series, but the selection of topics should give the reader a sound basis for further study.