Julia quick syntax reference : a pocket guide for data science programming

著者

    • Lobianco, Antonello

書誌事項

Julia quick syntax reference : a pocket guide for data science programming

Antonello Lobianco

Apress, c2019

  • : pbk

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注記

Index: p. 211-216

内容説明・目次

内容説明

This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference. This book provides an introduction that reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. You will learn how to use Julia packages for data analysis, numerical optimization and symbolic computation, and how to disseminate your results in dynamic documents or interactive web pages. In this book, the focus is on providing important information as quickly as possible. It is packed with useful information and is a must-have for any Julia programmer. What You Will Learn Set up the software needed to run Julia and your first Hello World example Work with types and the different containers that Julia makes available for rapid application development Use vectorized, classical loop-based code, logical operators, and blocks Explore Julia functions by looking at arguments, return values, polymorphism, parameters, anonymous functions, and broadcasts Build custom structures in Julia Interface Julia with other languages such as C/C++, Python, and R Program a richer API, modifying the code before it is executed using expressions, symbols, macros, quote blocks, and more Maximize your code's performance Who This Book Is For Experienced programmers new to Julia, as well as existing Julia coders new to the now stable Julia version 1.0 release.

目次

Language core (book part) Getting started (chapter)Allow reader to set up with the software needed to run Julia and let her run her first Hello World. Packages are introduced as early as this section. Why Julia Installing Julia Running Julia Main syntax elements Packages Help system Data types (chapter)Make reader familiar with the Julia concept of types, showing her the different containers that Julia make available for rapid application development. Scalar types Strings Concatenation Arrays (lists) Multidimensional and nested arrays Tuples NamedTuples Dictionaries Sets Memory and copy issues Various notes on Data types Random numbers Missing, nothing and NaN Control flow (chapter)Vectorised or classical loop-based code ? This section explains how to obtain them in Julia Logical operators Do blocks Functions (chapter)Julia is rich in the way you can handle functions, and this chapter try to present all the related notions to the reader Arguments Return value Multiple-dispatch (aka polymorphism) Templates (type parametrisation) Functions as objects Call by reference / call by value Anonymous functions Broadcast Custom structures (chapter)If you can from an object-oriented language you would expect this section. We show how you can organise your data in Julia and make it connect in your program. Defining a structure Initialising an object and accessing its fields Implementation of the OO paradigm in Julia More on types Input - Output (chapter)Feed your program with data and retrieve its outputs File reading/writing Networking IO Other IO Managing run-time errors (exceptions) (chapter)How to set a plan-B if things go wrong in your code Interfacing Julia with other languages (chapter)Do not reinvent the wheel: use what's already be done, even if developed in other languages C/C++ Python R Metaprogramming (chapter)Provide a richer API modifying the code before it is executed Expressions Colon prefix operator Quote block Parse a string Use the Exp constructor with a tree Symbols Macros Performances (parallelisation, debugging, profiling..) (chapter)One of the main reason why Julia exists is performances. It's easy to obtain them. We write here how not to make errors that would hit performances. Type safety Benchmarking Code parallelisation Debugging Profiling Developing Julia packages (chapter)Learn how to organise code that provide similar functionalities in a package, either for yourself or for the general public Packages ecosystem (book part) Working with data (chapter)The rich ecosystem Julia provides for working with data DataFrames Install and import the library Create a df or load data: Get insights about your data: Edit data Edit structure Manage Missing values Split-Apply-Combine strategy Pivot Export your data IndexedTables Create an IndexedTable Edit values LAJuliaUtils Mathematics (chapter)Not a mathematician? Still don't skip this chapter, you may discover you can still benefit in your work from mathematic libraries without knowing their theoretical fundations. JuMP SymPy Other Mathematical packages Utilities (chapter)From plotting to writing scientific papers with embedded code, a list of packages you will probably want to use Plotting Pipe Weave

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