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            Introduction to Julia培訓

             
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            課程大綱
             
            • Introduction to Julia
              What niche is filled by Julia
              How can Julia help you with data analysis
              What you can expect to get out of this course
              Getting started with Julia's REPL
              Alternative environments for Julia development: Juno, IJulia and Sublime-IJulia
              The Julia ecosystem: documentation and package search
              Getting more help: Julia forums and Julia community
              Strings: Hello World
              Introduction to Julia REPL and batch execution via "Hello World"
              Julia String Types
              Scalar Types
              What is a variable? Why do we use a name and a type for it?
              Integers
              Floating point numbers
              Complex numbers
              Rational numbers
              Arrays
              Vectors
              Matrices
              Multi-dimensional arrays
              Heterogeneous arrays (cell arrays)
              Comprehensions
              Other Elementary Types
              Tuples
              Ranges
              Dictionaries
              Symbols
              Building Your Own Types
              Abstract types
              Composite types
              Parametric composite types
              Functions
              How to define a function in Julia
              Julia functions as methods operating on types
              Multiple dispatch
              How multiple dispatch differs from traditional object-oriented programming
              Parametric functions
              Functions changing their input
              Anonymous functions
              Optional function arguments
              Required function arguments
              Constructors
              Inner constructors
              Outer constructors
              Control Flow
              Compound expressions and scoping
              Conditional evaluation
              Loops
              Exception Handling
              Tasks
              Code Organization
              Modules
              Packages
              Metaprogramming
              Symbols
              Expressions
              Quoting
              Internal representation
              Parsing
              Evaluation
              Interpolation
              Reading and Writing Data
              Filesystem
              Data I/O
              Lower Level Data I/O
              Dataframes
              Distributions and Statistics
              Defining distributions
              Interface for evaluating and sampling from distributions
              Mean, variance and covariance
              Hypothesis testing
              Generalized linear models: a linear regression example
              Plotting
              Plotting packages: Gadfly, Winston, Gaston, PyPlot, Plotly, Vega
              Introduction to Gadfly
              Interact and Gadfly
              Parallel Computing
              Introduction to Julia's message passing implementation
              Remote calling and fetching
              Parallel map (pmap)
              Parallel for
              Scheduling via tasks
              Distributed arrays
             
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