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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Programmiersprachen Julia Quick Syntax Reference
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Julia Quick Syntax Reference
Antonello Lobianco (Broschiert, Englisch)
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Beschreibung
Learn the Julia programming language as quickly as possible. This book is a must-have reference guide that presents the essential Julia syntax in a well-organized format, updated with the latest features of Julia’s APIs, libraries, and packages. This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output,… exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. At a more applied level, you will learn how to use Julia packages for data analysis, numerical optimization, symbolic computation, and machine learning, and how to present your results in dynamic documents. The Second Edition delves deeper into modules, environments, and parallelism in Julia. It covers random numbers, reproducibility in stochastic computations, and adds a section on probabilistic analysis. Finally, it provides forward-thinking introductions to AI and machine learning workflows using BetaML, including regression, classification, clustering, and more, with practical exercises and solutions for self-learners. What You Will Learn Work with Julia types and the different containers for rapid development Use vectorized, classical loop-based code, logical operators, and blocks Explore Julia functions: arguments, return values, polymorphism, parameters, anonymous functions, and broadcasts Build custom structures in Julia Use C/C++, Python or R libraries in Julia and embed Julia in other code. Optimize performance with GPU programming, profiling and more. Manage, prepare, analyse and visualise your data with DataFrames and Plots Implement complete ML workflows with BetaML, from data coding to model evaluation, and more. Who This Book Is For Experienced programmers who are new to Julia, as well as data scientists who want to improve their analysis or try out machine learning algorithms with Julia. 58,84 €
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Technische Daten
Erscheinungsdatum
04.01.2025
Sprache
Englisch
EAN
9798868809644
Herausgeber
APRESS
Sonderedition
Nein
Autor
Antonello Lobianco
Seitenanzahl
361
Auflage
2
Einbandart
Broschiert
Buch Untertitel
A Pocket Guide for Data Science Programming
Schlagwörter
Julia, math, data science, statistics, computer science, CS, programming, language, software, source, code, development, analysis
Thema-Inhalt
UMC - Compiler und Übersetzer
UYQ - Künstliche Intelligenz
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
UYAM - Mathematik für Informatiker
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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