【Packt】 Julia : High Performance Programming (2016)

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Julia: High Performance Programming

Ivo Balbaert, Avik Sengupta, Malcolm Sherrington



Leverage the power of Julia to design and develop high performing programs

In this learning path, you will learn to use an interesting and dynamic programming language—Julia! You will get a chance to tackle your numerical and data problems with Julia. You’ll begin the journey by setting up a running Julia platform before exploring its various built-in types. We’ll then move on to the various functions and constructs in Julia. We’ll walk through the two important collection types—arrays and matrices in Julia.

You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will see how Julia’s design makes code fast, and you’ll see its distributed computing capabilities.

By the end of this learning path, you will see how data works using simple statistics and analytics, and you’ll discover its high and dynamic performance—its real strength, which makes it particularly useful in highly intensive computing tasks.

Table of Contents

1: INSTALLING THE JULIA PLATFORM
2: VARIABLES, TYPES, AND OPERATIONS
3: FUNCTIONS
4: CONTROL FLOW
5: COLLECTION TYPES
6: MORE ON TYPES, METHODS, AND MODULES
7: METAPROGRAMMING IN JULIA
8: I/O, NETWORKING, AND PARALLEL COMPUTING
9: RUNNING EXTERNAL PROGRAMS
10: THE STANDARD LIBRARY AND PACKAGES
11: JULIA IS FAST
12: ANALYZING JULIA PERFORMANCE
13: TYPES IN JULIA
14: FUNCTIONS AND MACROS – STRUCTURING JULIA CODE FOR HIGH PERFORMANCE
15: FAST NUMBERS
16: FAST ARRAYS
17: BEYOND THE SINGLE PROCESSOR
18: THE JULIA ENVIRONMENT
19: DEVELOPING IN JULIA
20: TYPES AND DISPATCH
21: INTEROPERABILITY
22: WORKING WITH DATA
23: SCIENTIFIC PROGRAMMING
24: GRAPHICS
25: DATABASES
26: NETWORKING
27: WORKING WITH JULIA

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关键词：Programming performance Performan Perform Program performing learning problems running journey

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cmwei333 发表于 2016-12-20 10:02
Julia: High Performance Programming

Ivo Balbaert, Avik Sengupta, Malcolm Sherrington

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