Kaminski bogumil (214 risultati)

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Paperback. Condizione: New. 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 pipelines Julia 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 Bogumil Kaminski, 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 technology Julia 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 reader For data scientists familiar with Python or R. No experience with Julia required.…

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Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: new. Paperback. 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 pipelines Julia 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 Bogumil Kaminski, 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 technology Julia 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 reader For data scientists familiar with Python or R. No experience with Julia required. Julia for Data Analysis teaches you how to handle core data analysis tasks with the Julia programming language. You'll start by reviewing language fundamentals you'll master essential data analysis skills through engaging examples. Along the way, you'll learn to easily transfer existing data pipelines to Julia. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condizione: New. 1st edition NO-PA16APR2015-KAP.

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Paperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 20th International Workshop on Modelling and Mining Networks, WAW 2025, held in Vilnius, Lithuania, during June 30July 3, 2025.The 13 full papers presented in this book were carefully reviewed and selected from 20 submissions.The aim of the 20th Workshop on Modelling and Mining Networks was to further the understanding of networks that arise in theoretical as well as applied domains. The goal was also to stimulate the development of high performance and scalable algorithms that exploit these networks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 21st International Workshop on Modelling and Mining Networks, WAW 2026, held in Toronto, ON, Canada, during June 1519, 2026.The 7 full papers included in these volumes were carefully reviewed and selected from 10 submissions. The goal was also to stimulate the development of high performance and scalable algorithms that exploit complex networks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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