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Mathematica demystified / by Hoste, Jim.(CARDINAL)493054;
Includes bibliographical references and index.A comprehensive introduction to versions six and seven of Mathematica that provides hundreds of examples to explain 2D and 3D graphing, calculus, differential equations, dynamical systems, fractals, and other related topics; and includes quizzes and an exam
Subjects: Mathematica (Computer program language); Mathematics;
Available copies: 1 / Total copies: 2
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R all-in-one / by Schmuller, Joseph,author.(CARDINAL)644986;
"A deep dive into the programming language of choice for statistics and data... With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R."--
Subjects: R (Computer program language); Statistics;
Available copies: 2 / Total copies: 3
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Text mining with R : a tidy approach / by Silge, Julia,author.; Robinson, David,author.;
Includes bibliographical references (pages 173-174) and index.Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr . You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document's most important terms with frequency measurements Explore relationships and connections between words with the ggraph and widyr packages Convert back and forth between R's tidy and non-tidy text formats Use topic modeling to classify document collections into natural groups Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages
Subjects: Data mining.; Text processing (Computer science); R (Computer program language);
Available copies: 0 / Total copies: 1
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Illustrative computer programming for libraries : selected examples for information specialists / by Davis, Charles H.,1938-2020.(CARDINAL)143464; Lundeen, Gerald W.(CARDINAL)157636;
Bibliography: pages 123-124.
Subjects: Library science; PL/I (Computer program language);
Available copies: 1 / Total copies: 1
On-line resources: Suggest title for digitization;
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Introduction to PL/I programming for library and information science / by Mott, Thomas H.(CARDINAL)199839; Artandi, Susan.(CARDINAL)222956; Struminger, Leny.(CARDINAL)192939;
Bibliography: pages 223-224.
Subjects: Library science; PL/I (Computer program language);
Available copies: 1 / Total copies: 1
On-line resources: Suggest title for digitization;
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Doing math with Python : use programming to explore algebra, statistics, calculus, and more! / by Saha, Amit,author.;
Includes bibliographical references and index.Numbers -- Visualizing data with graphs -- Describing data with statistics -- Algebra and symbolic math with SymPy -- Sets and probability -- Drawing geometric shapes and fractals -- Working with mathematical functions -- Appendix A: Setup, installation, and resources -- Appendix B: Python functionality -- Appendix C: Solutions."Uses the Python programming language as a tool to explore high school level mathematics like statistics, geometry, probability, and calculus by writing programs to find derivatives, solve equations graphically, manipulate algebraic expressions, and examine projectile motion. Covers programming concepts including using functions, handling user input, and reading and manipulating data"--1130L
Subjects: Computer programming.; Mathematics; Python (Computer program language);
Available copies: 1 / Total copies: 1
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Beginning programming : all-in-one / by Wang, Wally,author.(CARDINAL)766992;
Getting started with programming. Getting started programming a computer ; Different methods for writing programs ; Types of programming languages ; Programming tools -- Programming basics. How programs work ; Variables, data types, and constants ; Manipulating data ; Making decisions by branching ; Repeating commands by looping ; Breaking a large program into subprograms ; Breaking a large program into objects ; Reading and saving files ; Documenting your program ; Principles of user interface design ; Debugging and testing -- Data structures. Structures and arrays ; Sets and linked lists ; Collections and dictionaries ; Stacks, queues, and deques ; Graphs and trees -- Algorithms. Sorting algorithms ; Searching algorithms ; String searching ; Data compression algorithms ; Encryption algorithms -- Web programming. Hyper text markup language ; CSS ; JavaScript ; PHP ; Ruby -- Programming language syntax. C and C++ ; Java and C# ; Perl and Python ; Kotlin ; Swift and SwiftUI ; Flutter and Dart -- Applications. Database management ; Bioinformatics ; Computer security ; Artificial intelligence ; Mobile and wearable computing ; Game engines ; The future of computer programming.A guide to computer programming covers such topics as data structures, algorithms, Web programming, syntax, and applications.
Subjects: Handbooks and manuals.; Computer programming.; Programming languages (Electronic computers); Computer science.; Electronic data processing.;
Available copies: 7 / Total copies: 11
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ChatGPT / by Baker, Pamela,1957-author.;
Introduction -- Introducing ChatGPT -- Discovering how ChatGPT works -- Writing prompts for ChatGPT -- Understanding GPT models in ChatGPT -- Warnings, ethics, and responsible AI -- Probing professional and other uses for ChatGPT -- Working with ChatGPT in education -- Using ChatGPT in daily life -- Recognizing the ways ChatGPT and generative AI will change the world -- Ten other generative AI tools to try.ChatGPT For Dummies demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it's asked for. This powerful example of generative AI is widely predicted to upend education and business. In this book, you'll learn how ChatGPT works and how you can operate it in a way that yields satisfactory results. You'll also explore the ethics of using AI-generated content for various purposes. Written by a journalist who's been on the front lines of artificial intelligence for over a decade, this book dives deep into ChatGPT's potential, so you can make informed decisions--without asking ChatGPT for help.
Subjects: ChatGPT.; Natural language processing (Computer science); Artificial intelligence;
Available copies: 17 / Total copies: 24
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An artist's guide to programming : a graphical introduction / by Parker, J. R.,(Jim R.),1955-Author(DLC)n 93014363 ;
"Teaches programming concepts by visual example, providing one hundred short programs to experiment with, written in the Java-based language Processing. Covers how to program while manipulating computer-generated graphics, photographs, video, and sound"--.
Subjects: Multimedia systems.; Computer graphics.; Microcomputers; Processing (Computer program language); Java (Computer program language);
Available copies: 1 / Total copies: 1
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The nature of code : simulating natural systems with JavaScript / by Shiffman, Daniel,author.(CARDINAL)492966;
Randomness -- Vectors -- Forces -- Oscillation -- Particle systems -- Autonomous agents -- Physics libraries -- Cellular automata -- Fractals -- Evolutionary computing -- Neural networks -- Neurevolution."A beginner-friendly creative coding tutorial that explores a range of programming strategies for developing computer simulations of natural systems-from elementary concepts in math and physics to sophisticated machine-learning algorithms. All examples are written with p5.js, a JavaScript library for creative coding"--
Subjects: Handbooks and manuals.; JavaScript (Computer program language); Computer programming; Computer simulation; Physical sciences; Computer programming.;
Available copies: 1 / Total copies: 1
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Results 1 to 10 of 72 |