Getting Started with JuliaPackt Publishing Ltd, 26.02.2015 - 214 Seiten This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby. |
Inhalt
| 1 | |
| 7 | |
Installing the Julia Platform | 15 |
Variables Types
and Operations | 35 |
Functions | 59 |
Control Flow | 73 |
Collection Types | 87 |
More on Types Methods
and Modules | 105 |
Metaprogramming in Julia | 127 |
IO Networking and Parallel Computing | 139 |
Running External Programs | 169 |
The Standard Library
and Packages | 179 |
List of Macros and Packages | 189 |
| 193 | |
Häufige Begriffe und Wortgruppen
3-element anonymous function apt-get args array Array{Any,1 Array{Symbol,1 async block called Char characters code in Chapter Collection Types columns compiler constructor consume(tsk1 contains coroutine create data scientist database DataFrames defined dictionary elapsed elements end end evaluated execute Float64 floating point floating point numbers fname folder following code following command following output following screenshot FORTRAN global immutable input Installing the Julia integer iteration Julia Julia code Julia Platform keyword arguments language Linux list comprehensions LLVM loop machine MATLAB matrix Metaprogramming method matching module multiple dispatch NumPy object ODBC operator optional package Packt Parallel Computing parameters println("The prints Python refer regular expressions REPL result returns ERROR returns false returns true rows scope script section in Chapter server source code specific standard library string subtypes supertypes symbols syntax task tuple type annotations variable Windows worker write