India: +91 406677 1418

WhatsApp no. : +919100386313

USA: +1 909 233 6006

Telegram : +15168586242

Lorem ipsum

Julia Training Introduction

Julia is considered as a high performance programming languages & high level for technical computing. It mainly provides distributed parallel, numerical accuracy, sophisticated compiler, execution with an extensive mathematical function library. It mainly based on & string processing & signal processing. It that manages a rapid space contributes a huge number of packages.Global online trainings provide Julia training from India at reasonable price by top best expert trainers at flexible timings with online, cooperate training as well as job support. Register for more details from our help desk.

Julia bales online course Content

1 : Introduction to Julia
  • What niche is filled by Julia
  • How can Julia help you with data analysis
  • Getting started with Julia’s REPL
  • Alternative environments for Julia development: IJulia & Juno, Sublime-IJulia
  • The Julia ecosystem: documentation & package search
  • Getting more help: Julia forums & Julia community
3 : 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
5 : Other Elementary Types
  • Tuples
  • Ranges
  • Dictionaries
  • Symbols
7 : Building Your Own Types
  • Abstract types
  • Composite types
  • Parametric composite types
9 : Constructors
  • Inner constructors
  • Outer constructors
11 : Parallel Computing
  • Introduction to Julia’s message passing implementation
  • Remote calling and fetching
  • pmap (Parallel map)
  • Parallel for
  • Scheduling via tasks
  • Distributed arrays
13 : Distributions and Statistics
  • Defining distributions
  • Interface for sampling & evaluating from distributions
  • Variance, Mean & co variance
  • Hypothesis testing
  • Generalized linear models: a linear regression example
2 : Strings: Hello World
  • Introduction to Julia REPL and batch execution via “Hello World”
  • Julia String Types
4 : Arrays
  • Vectors
  • Matrices
  • Multi-dimensional arrays
  • Heterogeneous arrays (cell arrays)
  • Comprehensions
6 : Functions
  • How to define a function in Julia
  • Julia functions as methods operating on types
  • Multiple dispatch
  • Functions changing their input
  • Anonymous functions
  • Optional function arguments
  • Required function arguments
8 : Control Flow
  • Compound expressions and scoping
  • Conditional evaluation
  • Loops
  • Exception Handling
  • Tasks
10 : Metaprogramming
  • Symbols
  • Expressions
  • Quoting
  • Internal representation
  • Parsing
  • Evaluation
  • Interpolation
12 : Code Organization
  • Modules
  • Packages
14 : Plotting
  • Plotting packages: Gadfly, Plotly, Gaston, Winston, PyPlot, Vega
  • Introduction to Gadfly
  • Interact & Gadfly

Why JULIA training:

  • The Julia programming language in a self-contained fashion our aim of the course is to teach you the basics.
  • The course structure includes Scalar Types, Strings, Functions, Arrays, Constructors, Code Organization, Control Flow, Parallel Computing, Metaprogramming, and Plotting of Julia.
  • Industry Savvy Trainers
  • We provide “Real Time” Practical scenarios
  • Learn Right from Your Place
  • Course Curriculum Customized
  • Recorded version of sessions