Julia – Basics of Programming (JULIA1)

Programming, Rust

Julia is a language designed for high-performance mathematical and statistical computing. This course introduces Julia's clean syntax, dynamic yet efficient types, array and matrix capabilities, and how it combines the ease of scripting with compiled speed.

You will set up a Julia working environment, learn data structures such as arrays, matrices and dataframes, write functions, manage error handling, and explore types, mutability and copying semantics. Practical labs cover I/O, plotting and documentation for reproducible code.

THIS TRAINING COURSE WILL HELP YOU:

  • Install and set up a Julia working environment
  • Use arrays, matrices and DataFrames for tabular data
  • Write functions, manage types, mutability and errors
  • Create plots, handle I/O and document reproducible code

WHO SHOULD ATTEND?

  • Data analysts and statisticians needing fast numeric code
  • Researchers and engineers working with numerical models
  • Programmers learning a high-performance scientific language
  • Students in math, statistics or scientific computing

COURSE LOCATION AND AVAILABLE DATES



This course is not scheduled as a public course.
It is delivered exclusively as customised training. The content, duration, date, and delivery format are tailored to the customer's requirements and can also be provided in English.

Request customised training

Course content:

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  • The Julia programming language
    1. High-performance compiled language
    2. Dynamically typed variables
  • Working environment
    1. Installing Julia
    2. Working in the command line
    3. Editing programs in a text editor
    4. Online tools
  • Working with numbers
    1. Numeric data types
    2. Operations on numeric values
  • Structured types
    1. Collections of values
    2. Arrays
    3. Matrices and matrix operations
  • Working with text
    1. String operations
    2. Text formatting
    3. Substrings
  • Working with tabular data
    1. DataFrames
  • Code structure
    1. Statements and indentation
    2. Conditions and loops
    3. Error handling
  • Organizing code
    1. Writing functions
    2. Passing parameters
    3. Local variables
    4. Documentation
  • Structures and objects
    1. Polymorphism
    2. Immutable structures
    3. Mutable structures
    4. Instances and methods
  • Copying and aliasing
    1. Assignment to variables
    2. Copying
    3. Deep copy
  • Graphics and outputs
    1. Graphical output
    2. Plotting tools
  • Discussion and further resources
    1. Custom topics
    2. Documentation
Prerequisites:
Basic programming concepts, familiarity with MS Windows, and experience with another language.
Schedule:
3 days (9:00-17:00)

Training and learning environment