Introduction to Julia Programming Training Course

Introduction

• What defines Julia as a programming language?
• The origins, timeline, and creators of Julia.
• Accessing Julia resources.

Development Environment

• Overview of cloud-based development environments.
• Terminal usage.
• The REPL (Read-Eval-Print Loop).
• Loading and installing packages.
• Integrated Development Environments (IDE).

Fundamental types, variables and operators

• Core data types.
• Strings and interpolation techniques.
• Variables.
• Operators.

Variables, functions and operations

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

Scoping

• Function scopes.
• Global and local scoping rules.
• Code blocks.
• begin/end blocks.
• let/end blocks.
• Modules.
• Data Structures.
• Tuples.
• Dictionaries.
• Arrays.
• Vectors.
• Matrices & Linear Algebra.
• Multidimensional arrays.
• Dot notation (within functions).
• Handling 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 or concrete types.
• Constructors.
• Print/show methods.
• Operator overloading.
• Interfaces.

Metaprogramming

• Symbols.
• Eval.
• Expressions.
• Interpolation.
• Evaluation.
• Calling and building 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 files.
• Downloading files.