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Julia for Data Analysis
Lambar abu: 141500289

Julia for Data Analysis

Lambar abu: 141500289

XAF 47651

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Shop Julia for Data Analysis online at a best price in Chad. 1633439364
  • Master core data analysis skills using Julia.Julia for Data Analysis is a fascinating, hands-on projects guide you through time series data, predictive models, popularity ranking, and more.With this book, you will learn how to:Read and write data in various formatsWork with tabular data, including subsetting, grouping, and transformingVisualise your data using plotsPerform statistical analysisBuild predictive modelsCreate complex data processing pipelinesJulia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super fast code execution.Julia for Data Analysis teaches you how to perform core data science tasks with this amazing language. It is written by Bogumił Kamiński, a top contributor to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia's core data package DataFrames.jl.You will learn how to write production-quality code in Julia, and utilize Julia's core features for data gathering, visualisation, and working with data frames. Plus, the engaging hands-on projects get you into the action quickly.About the technologyJulia is a huge step forward for data science and scientific computing. It is a powerful high-performance programming language with many developer-friendly features like garbage collection, dynamic typing, just-in-time compilation, and a flexible approach to concurrent, parallel, and distributed computing. Although Julia's strong numerical programming features make it a favorite of data scientists, it is also an awesome general purpose programming language.About the readerFor data scientists familiar with Python or R. No experience with Julia required.
Publisher Manning Publications
Publication date 3 Jan. 2023
Edition 1st
Language English
Print length 426 pages
ISBN-10 1633439364
ISBN-13 978-1633439368
Item weight 794 g
Dimensions 18.73 x 2.79 x 23.5 cm

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