LEADER 01500nam 2200373Ia 450 001 996388066703316 005 20221108050512.0 035 $a(CKB)1000000000629552 035 $a(EEBO)2240873680 035 $a(OCoLC)52528912 035 $a(EXLCZ)991000000000629552 100 $a20030701d1695 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aAct in favours of the brewers of Edinburgh, and liberties thereof; and other adjacent brewers$b[electronic resource] $eEdinburgh, August 6. 1695 210 $aEdinburgh $cPrinted by the heirs and successors of Andrew Anderson, Printer to the Kings most excellent Majesty$d1695 215 $a1 sheet ([1] p.) 300 $aCaption title. 300 $aInitial letter. 300 $aSigned: Gilb. Eliot, Cls. Sti Concilii. 300 $aReproduction of the original in the National Library of Scotland. 330 $aeebo-0097 606 $aBeer$xPrices$xLaw and legislation$zScotland$zEdinburgh$vEarly works to 1800 606 $aBeer$xTaxation$xLaw and legislation$zScotland$zEdinburgh$vEarly works to 1800 608 $aBroadsides$zScotland$y17th century.$2rbgenr 615 0$aBeer$xPrices$xLaw and legislation 615 0$aBeer$xTaxation$xLaw and legislation 700 $aScotland$0815324 801 0$bEAE 801 1$bEAE 906 $aBOOK 912 $a996388066703316 996 $aAct in favours of the brewers of Edinburgh, and liberties thereof; and other adjacent brewers$92366584 997 $aUNISA LEADER 04872nam 2200589 450 001 9910797481403321 005 20220630211728.0 010 $a1-78355-332-4 035 $a(CKB)3710000000449406 035 $a(EBL)2100191 035 $a(SSID)ssj0001566804 035 $a(PQKBManifestationID)16211428 035 $a(PQKBTitleCode)TC0001566804 035 $a(PQKBWorkID)14834524 035 $a(PQKB)11482193 035 $a(MiAaPQ)EBC2100191 035 $a(CaSebORM)9781783553310 035 $a(PPN)227993276 035 $a(EXLCZ)993710000000449406 100 $a20150804h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMastering Julia $edevelop your analytical and programming skills further in Julia to solve complex data processing problems /$fMalcolm Sherrington 205 $a1st edition 210 1$aBirmingham, England :$cPackt Publishing,$d2015. 210 4$dİ2015 215 $a1 online resource (410 p.) 225 1 $aCommunity Experience Distilled 300 $aIncludes index. 311 $a1-78355-331-6 327 $aCover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Julia Environment; Introduction; Philosophy; Role in data science and big data; Comparison with other languages; Features; Getting started; Julia sources; Building from source; Installing on CentOS; Mac OS X and Windows; Exploring the source stack; Juno; IJulia; A quick look at some Julia; Julia via the console; Installing some packages; A bit of graphics creating more realistic graphics with Winston; My benchmarks; Package management; Listing, adding, and removing 327 $aChoosing and exploring packagesStatistics and mathematics; Graphics; Web and networking; Database and specialist packages; How to uninstall Julia; Adding an unregistered package; What makes Julia special; Parallel processing; Multiple dispatch; Homoiconic macros; Interlanguage cooperation; Summary; Chapter 2: Developing in Julia; Integers, bits, bytes, and bools; Integers; Logical and arithmetic operators; Booleans; Arrays; Operations on matrices; Elemental operations; A simple Markov chain - cat and mouse; Char and strings; Characters; Strings; Unicode support; Regular expressions 327 $aByte array literalsVersion literals; An example; Real, complex, and rational numbers; Reals; Operators and built-in functions; Special values; BigFloats; Rationals; Complex numbers; Juliasets; Composite types; More about matrices; Vectorized and devectorized code; Multidimensional arrays; Broadcasting; Sparse matrices; Data arrays and data frames; Dictionaries, sets, and others; Dictionaries; Sets; Other data structures; Summary; Chapter 3: Types and Dispatch; Functions; First-class objects; Passing arguments; Default and optional arguments; Variable argument list; Named parameters; Scope 327 $aThe Queen's problemJulia's type system; A look at the rational type; A vehicle datatype; Typealias and unions; Enumerations (revisited); Multiple dispatch; Parametric types; Conversion and promotion; Conversion; Promotion; A fixed vector module; Summary; Chapter 4: Interoperability; Interfacing with other programming environments; Calling C and Fortran; Mapping C types; Calling a Fortran routine; Calling curl to retrieve a web page; Python; Some others to watch; The Julia API; Calling API from C; Metaprogramming; Symbols; Macros; Testing; Error handling; The enum macro; Tasks 327 $aParallel operationsDistributed arrays; A simple MapReduce; Executing commands; Running commands; Working with the filesystem; Redirection and pipes; Perl one-liners; Summary; Chapter 5: Working with Data; Basic I/O; Terminal I/O; Disk files; Text processing; Binary files; Structured datasets; CSV and DLM files; HDF5; XML files; DataFrames and RDatasets; The DataFrames package; DataFrames; RDatasets; Subsetting, sorting, and joining data; Statistics; Simple statistics; Samples and estimations; Pandas; Selected topics; Time series; Distributions; Kernel density; Hypothesis testing; GLM; Summary 327 $aChapter 6: Scientific Programming 330 $aThis hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language such as C or Java. 410 0$aCommunity experience distilled. 606 $aProgramming languages (Electronic computers) 615 0$aProgramming languages (Electronic computers) 676 $a006.7876 700 $aSherrington$b Malcolm$01544788 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797481403321 996 $aMastering Julia$93799259 997 $aUNINA