LEADER 00000cam a2200493 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr unu|||||||| 
008    171106s2017    xx a    o     000 0 eng d 
019    1302289469 
029 1  GBVCP|b1014936756 
035    (OCoLC)1009870002|z(OCoLC)1302289469 
037    CL0500000910|bSafari Books Online 
040    UMI|beng|erda|epn|cUMI|dMERER|dSTF|dOCLCQ|dOCLCF|dCOO|dTOH
       |dUOK|dCEF|dKSU|dWYU|dC6I|dUAB|dCNCEN|dOCLCQ|dLVT|dOCLCO
       |dOCLCQ|dOCLCO 
049    INap 
082 14 [E] 
082 14 [E] 
099    eBook O'Reilly for Public Libraries 
100 1  Hanson, Leah,|eauthor. 
245 10 Learning Julia :|babstract, concrete, and parametric types
       /|cLeah Hanson and Spencer Russell.|h[O'Reilly electronic 
       resource] 
264  1 [Place of publication not identified] :|bO'Reilly,|c[2017]
300    1 online resource (1 volume) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
500    "From Learning Julia : rapid technical computing and data 
       analysis by Spencer Russell, Avik Sengupta & Leah Hanson"-
       -Cover 
500    Date of publication from resource description page. 
520    What you'll learn--and how you can apply it In this lesson
       we'll explore some of the more advanced features of 
       Julia's type system and how these tools enable more 
       expressive and higher-performance code. We'll examine how 
       abstract and concrete types relate to each other in the 
       type hierarchy, and how to effectively use Julia's 
       multiple dispatch mechanism. We'll also explore parametric
       types which enable maximally generic code without 
       sacrificing performance. This lesson is for you because 
       You are a programmer with some Julia experience looking to
       level-up your code by reducing duplication and maximize 
       performance. Prerequisites: Learning Julia: Intro to Types
       Basic-level Julia skills Materials or downloads needed: 
       Julia 0.6 About the instructors Spencer Russell is a 
       researcher and PhD candidate at the MIT Media Lab, where 
       his work has ranged from wireless mesh networks and sensor
       infrastructure to audio spatialization and augmented 
       musical instruments. He holds a BA from Oberlin College, a
       BS in Electrical Engineering from Columbia University, and
       an MA from the MIT Media Lab. He is the primary author and
       maintainer of several core audio-related Julia packages 
       and the JuliaAudio organization on GitHub. In previous 
       lives he has sound-designed sold-out theater performances 
       in New York, toured throughout the US and Europe as a 
       double-bassist, and ran a software and hardware 
       development team that deployed multi-thousand unit 
       building automation systems. He lives with his wife Kate 
       and dog Eleanor Roosevelt in Jamaica Plain, MA, but longs 
       for the rainy Pacific Northwest. 
588 0  Online resource; title from title page (Safari, viewed 
       November 6, 2017). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Julia (Computer program language) 
650  0 Dynamic programming. 
650  0 Data structures (Computer science) 
650  6 Julia (Langage de programmation) 
650  6 Programmation dynamique. 
650  6 Structures de données (Informatique) 
650  7 Data structures (Computer science)|2fast 
650  7 Dynamic programming|2fast 
650  7 Julia (Computer program language)|2fast 
700 1  Russell, Spencer,|eauthor. 
740 0  Learning Julia : rapid technical computing and data 
       analysis. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781491999585/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN