{"title":"Peter Tait","description":"\u003cp\u003ePeter Tait's works offer clear and practical guidance in the fields of data science and programming. Readers can expect thorough explorations of technical subjects designed to enhance understanding and application, with a focus on accessible learning.\u003c\/p\u003e\n\n\u003cp\u003eIdeal for students and professionals alike, his books provide valuable insights into computational methods and their real-world uses. \u003cem\u003eData Science with Julia\u003c\/em\u003e exemplifies the blend of educational clarity and practical relevance found throughout his collection.\u003c\/p\u003e","products":[{"product_id":"data-science-with-julia-by-paul-d-mcnicholas-9781138499980","title":"Data Science with Julia","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eData Science with Julia\u003c\/em\u003e is described as \"a great way to both start learning data science through the promising Julia language and to become an efficient data scientist,\" according to Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, France.\u003c\/p\u003e\n\n\u003cp\u003eJulia is an open-source programming language created to be as easy to use as languages like R and Python, while also achieving speeds comparable to C and Fortran. With its accessible, intuitive, and highly efficient base, Julia becomes a formidable language for data science. Using well-known data science methods that motivate the reader, \u003cem\u003eData Science with Julia\u003c\/em\u003e helps readers get up to speed on key features of the Julia language, illustrating its facilities for data science and machine learning work.\u003c\/p\u003e\n\n\u003cp\u003eFeatures:\u003c\/p\u003e\n\u003cul\u003e\n    \u003cli\u003eCovers the core components of Julia as well as packages relevant to the input, manipulation, and representation of data.\u003c\/li\u003e\n    \u003cli\u003eDiscusses several important topics in data science, including supervised and unsupervised learning.\u003c\/li\u003e\n    \u003cli\u003eReviews data visualisation using the Gadfly package, designed to emulate the popular \u003cem\u003eggplot2\u003c\/em\u003e package in R. Readers will learn how to create many common plots and visualise model results.\u003c\/li\u003e\n    \u003cli\u003ePresents techniques to optimise Julia code for performance.\u003c\/li\u003e\n    \u003cli\u003eServes as an ideal resource for individuals knowledgeable in R wanting to learn Julia, although no previous knowledge of R or any programming language is required.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe advantages of Julia for data science cannot be understated. Beyond its speed and ease of use, there are over 1,900 packages available, and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++, or Fortran. This book is suitable for senior undergraduates, beginner graduate students, or practising data scientists seeking to learn how to use Julia for data science.\u003c\/p\u003e\n\n\u003cp\u003e\"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist.\"\u003c\/p\u003e\n\n\u003cp\u003eProfessor Charles Bouveyron\u003cbr\u003eINRIA Chair in Data Science\u003cbr\u003eUniversité Côte d’Azur, Nice, France\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47605578989804,"sku":"9781138499980","price":134.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781138499980-data-science-with-julia.jpg?v=1778132136"}],"url":"https:\/\/bookhero.co.nz\/collections\/peter-tait.oembed","provider":"Book Hero","version":"1.0","type":"link"}