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Introduction to Julia培训

 
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开课地址:【上海】同济大学(沪西)/新城金郡商务楼(11号线白银路站)【深圳分部】:电影大厦(地铁一号线大剧院站) 【武汉分部】:佳源大厦【成都分部】:领馆区1号【沈阳分部】:沈阳理工大学【郑州分部】:锦华大厦【石家庄分部】:瑞景大厦【北京分部】:北京中山学院 【南京分部】:金港大厦
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课程大纲
 
  • 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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