Format:
1 online resource (410 pages)
Edition:
1st ed.
ISBN:
9781783553327
Note:
Cover -- 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 -- Choosing and exploring packages -- Statistics 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 -- Byte array literals -- Version 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
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Default and optional arguments -- Variable argument list -- Named parameters -- Scope -- The Queen's problem -- Julia'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 -- Parallel operations -- Distributed 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 -- Chapter 6: Scientific Programming -- Linear algebra -- Simultaneous equations -- Decompositions -- Eigenvalues and eigenvectors -- Special matrices -- A symmetric eigenproblem -- Signal processing -- Frequency analysis -- Filtering and smoothing -- Digital signal filters -- Image processing -- Differential equations -- The solution of ordinary differential equations -- Non-linear ordinary differential equations -- Partial differential equations -- Optimization problems
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JuMP -- Optim -- NLopt -- Using with the MathProgBase interface -- Stochastic problems -- Stochastic simulations -- SimJulia -- Bank teller example -- Bayesian methods and Markov processes -- Monte Carlo Markov Chains -- MCMC frameworks -- Summary -- Chapter 7: Graphics -- Basic graphics in Julia -- Text plotting -- Cairo -- Winston -- Data visualization -- Gadfly -- Compose -- Graphic engines -- PyPlot -- Gaston -- PGF plots -- Using the Web -- Bokeh -- Plotly -- Raster graphics -- Cairo -- Winston (revisited) -- Images and ImageView -- Summary -- Chapter 8: Databases -- A basic view of databases -- The red pill or the blue pill? -- Interfacing to databases -- Other considerations -- Relational databases -- Building and loading -- Native interfaces -- ODBC -- Other interfacing techniques -- DBI -- SQLite -- MySQL -- PostgreSQL -- PyCall -- JDBC -- NoSQL datastores -- Key-value systems -- Document datastores -- RESTful interfacing -- JSON -- Web-based databases -- Graphic systems -- Summary -- Chapter 9: Networking -- Sockets and servers -- Well-known ports -- UDP and TCP sockets in Julia -- A "Looking-Glass World" echo server -- Named pipes -- Working with the Web -- A TCP web service -- The JuliaWeb group -- The "quotes" server -- WebSockets -- Messaging -- E-mail -- Twitter -- SMS and esendex -- Cloud services -- Introducing Amazon Web Services -- The AWS.jl package -- The Google Cloud -- Summary -- Chapter 10: Working with Julia -- Under the hood -- Femtolisp -- The Julia API -- Code generation -- Performance tips -- Best practice -- Profiling -- Lint -- Debugging -- Developing a package -- Anatomy -- Taxonomy -- Using Git -- Publishing -- Community groups -- Classifications -- JuliaAstro -- Cosmology models -- The Flexible Image Transport System -- JuliaGPU -- What's missing? -- Summary -- Index
Additional Edition:
Print version Papaspyrou, Alexander Mastering Julia Birmingham : Packt Publishing, Limited,c2015 ISBN 9781783553310
Language:
English
Keywords:
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