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Think Julia
  • Language: en
  • Pages: 298

Think Julia

If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college...

Text Mining with R
  • Language: en
  • Pages: 193

Text Mining with R

Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

Hands-On Design Patterns and Best Practices with Julia
  • Language: en
  • Pages: 521

Hands-On Design Patterns and Best Practices with Julia

Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide Key FeaturesExplore useful design patterns along with object-oriented programming in Julia 1.0Implement macros and metaprogramming techniques to make your code faster, concise, and efficientDevelop the skills necessary to implement design patterns for creating robust and maintainable applicationsBook Description Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems in software development quickly. This book will demonstrate how to...

Practical Julia
  • Language: en
  • Pages: 529

Practical Julia

Learn to use Julia as a tool for research, and solve problems of genuine interest—like modeling the course of a pandemic—in this practical, hands-on introduction to the language. The Julia programming language is acclaimed in scientific circles for its unparalleled ease, interactivity, and speed. Practical Julia is a comprehensive introduction to the language, making it accessible even if you’re new to programming. Dive in with a thorough guide to Julia’s syntax, data types, and best practices, then transition to craft solutions for challenges in physics, statistics, biology, mathematics, scientific machine learning, and more. Whether you’re solving computational problems, visualiz...

Learning Julia
  • Language: en
  • Pages: 308

Learning Julia

Learn Julia language for data science and data analytics About This Book Set up Julia's environment and start building simple programs Explore the technical aspects of Julia and its potential when it comes to speed and data processing Write efficient and high-quality code in Julia Who This Book Is For This book allows existing programmers, statisticians and data scientists to learn the Julia and take its advantage while building applications with complex numerical and scientific computations. Basic knowledge of mathematics is needed to understand the various methods that will be used or created in the book to exploit the capabilities for which Julia is made. What You Will Learn Understand Ju...

Getting Started with Julia
  • Language: en
  • Pages: 214

Getting Started with Julia

This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby.

Diagnostic Imaging: Musculoskeletal Trauma E-Book
  • Language: en
  • Pages: 1122

Diagnostic Imaging: Musculoskeletal Trauma E-Book

More than 200 trauma-related diagnoses that are delineated, referenced, and lavishly illustrated highlight the second edition of Diagnostic Imaging: Musculoskeletal Trauma. Comprehensive coverage of musculoskeletal trauma imaging keeps you current with what’s new in the field. Succinct text, outstanding illustrations, and up-to-date content make this title a must-have reference for both general radiologists and musculoskeletal imaging specialists who need a single, go-to clinical guide in this rapidly evolving area. Concise, bulleted text provides efficient information on more than 200 diagnoses that are clearly illustrated with 3,400 superb images Meticulously updated throughout, with new...

Numerical Methods for Scientific Computing
  • Language: en
  • Pages: 710

Numerical Methods for Scientific Computing

A comprehensive guide to the theory, intuition, and application of numerical methods in linear algebra, analysis, and differential equations. With extensive commentary and code for three essential scientific computing languages: Julia, Python, and Matlab.

The Presidential Leadership Dilemma
  • Language: en
  • Pages: 261

The Presidential Leadership Dilemma

  • Type: Book
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  • Published: 2013-04-01
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  • Publisher: SUNY Press

Examines how the president balances the competing demands of leading his political party and leading the nation.

Dragonfly
  • Language: en
  • Pages: 404

Dragonfly

A young adult fantasy about a teenage couple who are forced to marry to join their two kingdoms