Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow

Przemyslaw Szufel, Bogumil Kaminski

  • 出版商: Packt Publishing
  • 出版日期: 2018-11-30
  • 售價: $1,520
  • 貴賓價: 9.5$1,444
  • 語言: 英文
  • 頁數: 437
  • 裝訂: Paperback
  • ISBN: 1788998367
  • ISBN-13: 9781788998369
  • 相關分類: 程式語言Data Science
  • 立即出貨 (庫存 < 3)



Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications.

Key Features

  • Address the core problems of programming in Julia with the most popular packages for common tasks
  • Tackle issues while working with Databases and Parallel data processing with Julia
  • Explore advanced features such as metaprogramming, functional programming, and user defined types

Book Description

Julia programming language with its dynamic nature and high-performance provides comparatively minimum time for development of computational models with easy to maintain computational code. Julia 1.0 Programming Cookbook will be your solution based guide as it will take you through different programming aspects with Julia.

Starting with the new features of Julia 1.0, each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced with various recipes for numerical computing, distributed computing and achieving high performance. You'll see how to optimize data science programs with parallel computing and memory allocation. Moving forward, we will look into more advanced concepts such as Metaprogramming and Functional Programming. Finally, you will learn to tackle issues while working with Databases and Data processing and will learn recipes on data science problems, data modeling, data analysis, data manipulation, parallel processing, cloud computing with Julia.

By the end of the book, you will acquire the skills to work more effectively with your data.

    What you will learn

    • Boost the code performance using Julia's unique features
    • Organize data in fundamental types of collections: arrays, dictionaries
    • Organize data science process within Julia and solve related problems
    • Scale Julia computations with cloud computing
    • Write data to IO streams with Julia and to handle web transfer
    • How to define own immutable and mutable types
    • Speed-up the development process using metaprogramming

    Who This Book Is For

    This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed.




    • 使用最常見的套件解決Julia程式設計的核心問題

    • 處理使用Julia進行資料庫和平行資料處理時的問題

    • 探索元程式設計、函數式程式設計和使用者定義類型等高級功能


    Julia程式語言以其動態特性和高效能,相對於其他語言,提供了開發計算模型所需的最少時間和易於維護的計算程式碼。《Julia 1.0程式設計食譜》將成為您的解決方案指南,引導您通過Julia的不同程式設計方面。

    從Julia 1.0的新功能開始,每個範例都解決一個特定的問題,並通過討論解決方案和提供工作原理的見解來解釋。您將使用強大的Julia工具和資料結構,以及最受歡迎的Julia套件。您將學習創建向量、處理變數和使用函數。您將介紹各種用於數值計算、分散式計算和實現高性能的範例。您將了解如何使用平行計算和記憶體分配來優化資料科學程式。接下來,我們將探討更高級的概念,如元程式設計和函數式程式設計。最後,您將學習處理使用資料庫和資料處理時的問題,並學習有關資料科學問題、資料建模、資料分析、資料操作、平行處理和使用Julia進行雲計算的範例。



      • 使用Julia獨特的功能提升程式碼效能

      • 將資料組織成基本類型的集合:陣列、字典

      • 在Julia中組織資料科學流程並解決相關問題

      • 使用雲計算擴展Julia計算

      • 使用Julia將資料寫入IO串流並處理網路傳輸

      • 如何定義自己的不可變和可變類型

      • 使用元程式設計加快開發過程