Introduction to Julia Programming Training Course

Introduction

• What defines Julia as a programming language?
• The origins of Julia: how, when, and by whom it was created.
• Julia resources

Development Environment

• Introduction to cloud-based development environments.
• Terminal usage.
• REPL.
• Loading and installing packages.
• IDE.

Fundamental types, variables, and operators

• Basic data types.
• Strings and interpolation.
• Variables.
• Operators.

Variables, functions, and operations

• Variables and constants.
• Declaring and calling functions and lambdas.
• Control flow, exception handling, and errors.

Scoping

• Function scopes.
• Global and local scoping.
• Blocks.
• begin/end.
• let/end.
• Modules.
• Data Structures.
• Tuples.
• Dictionaries.
• Arrays.
• Vectors.
• Matrices & Linear Algebra.
• Multidimensional arrays.
• Dot notation (within functions).
• Missing values.

Types

• Tuples and named tuples.
• Structs and mutability.
• Unions.
• Abstract types and inheritance.
• Parametric types (generics) and inheritance.
• Value types.
• Type checking.

Methods and constructors

• Multiple dispatch.
• Writing methods for abstract/types.
• Constructors.
• Print/show methods.
• Operator overloading.
• Interfaces.

Metaprogramming

• Symbols.
• Eval.
• Expressions.
• Interpolation.
• Evaluation.
• Building and calling macros.
• Code generation.
• @generated functions.

Local concurrency and parallelism

• SIMD.
• Parallelism.
• Tasks & Channels.
• Asynchronous programming.
• Multithreading.
• Performance optimization.

Tooling

• Unit testing.
• Performance benchmarking.
• Profiling.
• Logging.
• Debugging: stack traces.

I/O

• Reading and writing text and binary files.
• Delimited files.
• Memory mapped.
• Downloading files.