Julia Cookbook

Jalem Raj Rohit

  • 出版商: Packt Publishing
  • 出版日期: 2016-09-30
  • 售價: $1,580
  • 貴賓價: 9.5$1,501
  • 語言: 英文
  • 頁數: 172
  • 裝訂: Paperback
  • ISBN: 1785882015
  • ISBN-13: 9781785882012
  • 相關分類: 程式語言
  • 立即出貨 (庫存=1)

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商品描述

Key Features

  • Follow a practical approach to learn Julia programming the easy way
  • Get an extensive coverage of Julia s packages for statistical analysis
  • This recipe-based approach will help you get familiar with the key concepts in Juli

Book Description

Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation.

Later on, you ll see how to optimize data science programs with parallel computing and memory allocation. You ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform.

This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data.

What you will learn

  • Extract and handle your data with Julia
  • Uncover the concepts of metaprogramming in Julia
  • Conduct statistical analysis with StatsBase.jl and Distributions.jl
  • Build your data science models
  • Find out how to visualize your data with Gadfly
  • Explore big data concepts in Julia

About the Author

Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in machine learning, data science, data analysis, computational statistics, and natural language processing (NLP). Rohit currently works as a senior data scientist at Zomato, also having worked as the first data scientist at Kayako.

He is part of the Julia project, where he develops data science models and contributes to the codebase. Additionally, Raj is also a Mozilla contributor and volunteer, and he has interned at Scimergent Analytics.

Table of Contents

  1. Extracting and Handling Data
  2. Metaprogramming
  3. Statistics with Julia
  4. Building Data Science Models
  5. Working with Visualizations
  6. Parallel Computing

商品描述(中文翻譯)

主要特點


  • 以實用的方式學習Julia程式設計

  • 詳細介紹Julia的統計分析套件

  • 透過這本以食譜為基礎的書籍,您將熟悉Julia的關鍵概念

書籍描述

想要應對Julia所帶來的一切,並且每天都能充分利用它嗎?這本實用的Julia程式設計指南將使您更加高效並能夠更有效地處理數據。本書從Julia的主要特點開始,幫助您快速複習函數、模組和數組的知識。我們還將向您展示如何利用Julia語言識別、擷取和轉換數據集,以便進行數據分析和數據操作。

隨後,您將了解如何通過並行計算和內存分配來優化數據科學程序。您將熟悉套件開發和網絡概念,並使用Julia平台解決數值問題。

本書包含了識別和分類數據科學問題、數據建模、數據分析、數據操作、元編程、多維數組和並行計算等方面的食譜。通過閱讀本書,您將獲得更有效地處理數據的技能。

您將學到什麼


  • 使用Julia擷取和處理數據

  • 了解Julia中的元編程概念

  • 使用StatsBase.jl和Distributions.jl進行統計分析

  • 建立您的數據科學模型

  • 了解如何使用Gadfly視覺化數據

  • 探索Julia中的大數據概念

關於作者

Jalem Raj Rohit是印度理工學院喬德普爾分校的畢業生,對機器學習、數據科學、數據分析、計算統計和自然語言處理(NLP)有濃厚興趣。Rohit目前在Zomato擔任高級數據科學家,曾是Kayako的首位數據科學家。

他是Julia項目的一員,負責開發數據科學模型並為代碼庫做出貢獻。此外,Raj還是Mozilla的貢獻者和志願者,曾在Scimergent Analytics實習。

目錄


  1. 擷取和處理數據

  2. 元編程

  3. 使用Julia進行統計分析

  4. 建立數據科學模型

  5. 使用視覺化工具

  6. 並行計算