Course Details
Julia is a rapidly emerging programming language with a strong focus on numerical accuracy, scientific computing and statistics. It has gained most of its reputation due to its speed of execution in conjunction with its ease of programming. Julia has a wealth of built-in and external tools for distributed and parallel computing. It facilitates the construction of user-defined data structures, and makes it easy to do meta programming, therefore it also define your own DSLs and it allows interacting with several other programming languages such as C, Python and R. Julia provides a multiple-dispatch programming paradigm, which in many ways helps you organize your code and makes you a better programmer and software engineer.
Julia Training Overview
The aim of the Julia course is to teach you the basics of the Julia programming language in a self-contained fashion. The course structure includes Strings, Scalar Types, Arrays, Functions, Constructors, Control Flow, Code Organization, Metaprogramming, Plotting and Parallel Computing of Julia.
Julia Training Curriculum
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: Juno, IJulia and Sublime-IJulia
The Julia ecosystem: documentation and package search
Getting more help: Julia forums and Julia community
Introduction to Julia REPL and batch execution via “Hello World”
Julia String Types
What is a variable? Why do we use a name and a type for it?
Integers
Floating point numbers
Complex numbers
Rational numbers
Vectors
Matrices
Multi-dimensional arrays
Heterogeneous arrays (cell arrays)
Comprehensions
Tuples
Ranges
Dictionaries
Symbols
Abstract types
Composite types
Parametric composite types
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
Inner constructors
Outer constructors
Compound expressions and scoping
Conditional evaluation
Loops
Exception Handling
Tasks
Modules
Packages
Symbols
Expressions
Quoting
Internal representation
Parsing
Evaluation
Interpolation
Filesystem
Data I/O
Lower Level Data I/O
Dataframes
Defining distributions
Interface for evaluating and sampling from distributions
Mean, variance and co variance
Hypothesis testing
Generalized linear models: a linear regression example
Plotting packages: Gadfly, Winston, Gaston, PyPlot, Plotly, Vega
Introduction to Gadfly
Interact and Gadfly
Introduction to Julia’s message passing implementation
Remote calling and fetching
Parallel map (pmap)
Parallel for
Scheduling via tasks
Distributed arrays
Faqs
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.
We record each LIVE class session you undergo through and we will share the recordings of each session/class.
Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
The Training itself is Real-time Project Oriented.
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
There are some Group discounts available if the participants are more than 2.
As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like
Minneapolis, Melbourne, Jacksonville, Davidson, Murfreesboro, Auckland, Carlsbad, San Marcos, Tacoma, Bellevue, Garland, Raleigh-Cary, Fort Lauderdale, Miami, Toronto, Wellington, Gilbert, Tempe, Alexandria, Chandler, Scottsdale, Peoria, Honolulu, Raleigh, Nashville, Plano, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubai, Doha, Brisbane, Perth etc…
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