Introduction to the Art of Programming Using Scala PDF Download

Author: Mark C. Lewis
Publisher: CRC Press
ISBN: 1498759688
Category : Computers
Languages : en
Pages : 938

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Book Description
With its flexibility for programming both small and large projects, Scala is an ideal language for teaching beginning programming. Yet there are no textbooks on Scala currently available for the CS1/CS2 levels. Introduction to the Art of Programming Using Scala presents many concepts from CS1 and CS2 using a modern, JVM-based language that works we

Author: Subrata Dasgupta
Publisher: Oxford University Press
ISBN: 0198733461
Category : Computers
Languages : en
Pages : 169

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Book Description
While the development of Information Technology has been obvious to all, the underpinning computer science has been less apparent. Subrata Dasgupta provides a thought-provoking introduction to the field and its core principles, considering computer science as a science of symbol processing.

Author: Edsger W. Dijkstra
Publisher:
ISBN:
Category : Computer programming
Languages : en
Pages : 106

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Book Description

Author: Julian Stallabrass
Publisher: Oxford University Press, USA
ISBN: 0192806467
Category : Art
Languages : en
Pages : 169

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Book Description
"Bloodied toy soldiers, gilded shopping carts, and Lego concentration camps. Contemporary art is supposed to be a realm of freedom where artists shock, break taboos, and switch between confronting viewers with works of great profundity and jaw-dropping triviality. But away from shock tactics in the gallery, there are many unanswered questions. What is contemporary about contemporary art? What effect do politics and big business have on art? And who really runs the art world?" "Previously published as Art Incorporated, this controversial and witty Very Short Introduction is an exploration of the global art scene that will change the way you see contemporary art."--BOOK JACKET.

Author: Donald Ervin Knuth
Publisher: Addison-Wesley Professional
ISBN: 9780201896855
Category : Computers
Languages : en
Pages : 810

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Book Description
Donald Knuth is Professor Emeritus of the Art of Computer Programming at Stanford University, and is well-known worldwide as the creator of the Tex typesetting language. Here he presents the third volume of his guide to computer programming.

Author: Norman Matloff
Publisher: No Starch Press
ISBN: 1593273843
Category : Computers
Languages : en
Pages : 404

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Book Description
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro. Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: –Create artful graphs to visualize complex data sets and functions –Write more efficient code using parallel R and vectorization –Interface R with C/C++ and Python for increased speed or functionality –Find new R packages for text analysis, image manipulation, and more –Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

Author: John V. Guttag
Publisher: MIT Press
ISBN: 0262529629
Category : Computers
Languages : en
Pages : 466

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Book Description
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.

Author: Anany Levitin
Publisher: OUP USA
ISBN: 0199740445
Category : Computers
Languages : en
Pages : 280

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Book Description
Algorithmic puzzles are puzzles involving well-defined procedures for solving problems. This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking. The first part of this book is a tutorial on algorithm design strategies and analysis techniques. Algorithm design strategies — exhaustive search, backtracking, divide-and-conquer and a few others — are general approaches to designing step-by-step instructions for solving problems. Analysis techniques are methods for investigating such procedures to answer questions about the ultimate result of the procedure or how many steps are executed before the procedure stops. The discussion is an elementary level, with puzzle examples, and requires neither programming nor mathematics beyond a secondary school level. Thus, the tutorial provides a gentle and entertaining introduction to main ideas in high-level algorithmic problem solving. The second and main part of the book contains 150 puzzles, from centuries-old classics to newcomers often asked during job interviews at computing, engineering, and financial companies. The puzzles are divided into three groups by their difficulty levels. The first fifty puzzles in the Easier Puzzles section require only middle school mathematics. The sixty puzzle of average difficulty and forty harder puzzles require just high school mathematics plus a few topics such as binary numbers and simple recurrences, which are reviewed in the tutorial. All the puzzles are provided with hints, detailed solutions, and brief comments. The comments deal with the puzzle origins and design or analysis techniques used in the solution. The book should be of interest to puzzle lovers, students and teachers of algorithm courses, and persons expecting to be given puzzles during job interviews.

Author: Daniel Shiffman
Publisher: No Starch Press
ISBN: 1718503717
Category : Computers
Languages : en
Pages : 642

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Book Description
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.

Author: Joseph Bergin
Publisher:
ISBN: 9780985154301
Category : Java (Computer program language)
Languages : en
Pages : 197

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Book Description
Beyond Karel J Robot trades comprehensive coverage of Java low level detail for an understanding of how a language like Java is used to build real programs. It's organization is not that of a reference work, but an enfolding of interesting and necessary concepts used by real programmers. A number of users have asked for more material in the spirit of Karel J Robot. The original book is intended for only the beginning weeks of a course, which leaves some the dilemma of what to do for the rest of the term. This volume is an attempt to discuss some additional ideas as well as some more Java features. The chapter numbering begins where Karel J Robot leaves off and we will frequently make mention of what was learned there. However, we begin to leave the robot world here and will discuss many ideas from beyond that world. The two volumes together should form the basis of a first course in computing using Java. While I have generally followed the guidelines of the College Board recommendations for the APCS AB advanced placement course, I have not attempted to be encyclopedic. We will see int, double, char, etc., but no attempt was made to provide all the rules and caveats of such things. Many books that call themselves text-books seem to me to be, instead, reference works, with everything gathered together nicely to ease looking up information, rather than books to learn from. Instead, I have attempted to show, for the most part, how the features of Java are used to build real programs. This is a book about writing programs, including some quite interesting and difficult programs. You may struggle with some of this material, but the struggle will take you to a better place. I hope you agree that it is worth the work you will put in to it.