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1000 tulosta hakusanalla Julia Delafield

The Amazing World of Julia Donaldson and Axel Scheffler

The Amazing World of Julia Donaldson and Axel Scheffler

Amanda Li; Julia Donaldson; Rob Brydon

PAN MACMILLAN
2024
sidottu
This lavishly illustrated visual guide is a celebration of the iconic creative partnership between Julia Donaldson and Axel Scheffler. A stunning gift book, it is packed full of behind-the-scenes information, fun facts and never-before-seen illustrations from their many bestselling stories.Julia Donaldson and Axel Scheffler have been making picture book magic for over thirty years, creating some of the world’s best-loved picture books, including The Gruffalo, Room on the Broom, Stick Man and Zog. Find out more about their early lives, explore how their creative partnership began, and dive deeper inside the wonderful worlds of all your favourite characters and stories.Packed with full-colour illustrations, sketches and photographs, The Amazing World of Julia Donaldson and Axel Scheffler is a must-have gift for fans of Julia Donaldson and Axel Scheffler. This gorgeous hardback edition is perfect for all the family to enjoy together.Published by Macmillan Children's Books and Alison Green Books.
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The History of Lady Julia Mandeville

The History of Lady Julia Mandeville

Enit Karafili Steiner

Routledge
2016
nidottu
Published in 1763, The History of Lady Julia Mandeville was Frances Brooke’s first and most successful novel. This modern critical edition contains an introductory essay on the text, endnotes and textual variants as well as appendices containing contemporary reviews and some of Brooke’s other writing.
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Data Science with Julia

Data Science with Julia

Paul D. McNicholas; Peter Tait

CRC Press
2019
nidottu
"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, FranceJulia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work.Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already 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. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science."This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."Professor Charles BouveyronINRIA Chair in Data ScienceUniversité Côte d’Azur, Nice, France
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Data Science with Julia

Data Science with Julia

Paul D. McNicholas; Peter Tait

CRC Press
2018
sidottu
"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, FranceJulia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work.Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already 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. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science."This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."Professor Charles BouveyronINRIA Chair in Data ScienceUniversité Côte d’Azur, Nice, France
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Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages

Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages

Tanmay Bakshi

McGraw-Hill Education
2019
nidottu
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.A quick guide to start writing your own fun and useful Julia apps—no prior experience required!This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python. Inside, you’ll learn to:• Set up and configure your Julia environment• Get up and running writing your own Julia apps• Define variables and use them in your programs• Use conditions, iterations, for-loops, and while-loops• Create, go through, and modify arrays• Build an app to manage things you lend and get back from your friends• Create and utilize dictionaries• Simplify maintenance of your code using functions• Apply functions on arrays and use functions recursively and generically• Understand and program basic machine learning apps
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