Book Detail : Mastering Julia

Book Title: 
Mastering Julia
Resource Category: 
Publisher: 
Publication Year: 
2 015
Number of Pages: 
410
ISBN: 
978-1-78355-331-0
Language: 
English
WishList: 
yes
Available at Shelf: 
No
Description: 

Develop your analytical and programming skills further in Julia to solve complex data processing problems

Table of Contents (Summary): 
  1. The Julia Environment  

  2. Developing in Julia

  3. Types and Dispatch 

  4. Interoperability 

  5. Working with Data 

  6. Scientific Programming

  7. Graphics

  8. Databases 

  9. Networking 

  10. Working with Julia

Index  

Table of Contents (Expanded): 
  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  

        • Data visualization  

        • 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 

  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 

  3. Types and Dispatch

    • Functions  

      • First-class objects 

      • Passing arguments 

        • 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 

  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 

  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 

  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  

      • 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 

  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 (revisited) 

      • Winston (revisited) 

      • Images and ImageView  

    • Summary 

  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 

  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 

  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  

2.41206
Average: 2.4 (199 votes)

Search the Web

Custom Search

Searches whole web. Use the search in the right sidebar to search only within javajee.com!!!