Chapter 1: Introduction to Julia
- Lesson 1: What is Julia?
- Lesson 2: History of Julia and Its Evolution
- Lesson 3: Julia Applications and Use Cases
- Lesson 4: Comparing Julia with Python, R, and MATLAB
- Lesson 5: Setting Up the Julia Environment
- Lesson 6: Writing Your First Julia Program
- Lesson 7: Introduction to Julia Syntax
- Lesson 8: Working with Julia REPL and Jupyter Notebook
- Lesson 9: Julia's Package Manager (Pkg) Basics
Chapter 2: Variables, Data Types and Constants
- Lesson 1: Declaring and Using Variables in Julia
- Lesson 2: Built-in Data Types (Int, Float, Bool, String, etc.)
- Lesson 3: Type Conversion and Type Assertions
- Lesson 4: Constants in Julia (const keyword)
- Lesson 5: Working with Unicode Variable Names
- Lesson 6: Mutable vs Immutable Types
- Lesson 7: Scope of Variables: Local, Global, and Module Scope
- Lesson 8: Type Inference and Performance Considerations
Chapter 3: Operators in Julia
- Lesson 1: Arithmetic Operators
- Lesson 2: Relational and Comparison Operators
- Lesson 3: Logical Operators
- Lesson 4: Bitwise and Shift Operators
- Lesson 5: Assignment Operators
- Lesson 6: Increment and Decrement Operators
- Lesson 7: Broadcasting and Element-wise Operations
- Lesson 8: Short-Circuit Evaluation
- Lesson 9: Operator Overloading in Julia
Chapter 4: Control Structures
- Lesson 1: Introduction to Control Flow
- Lesson 2: if, else, and elseif Statements
- Lesson 3: switch-case Equivalent in Julia
- Lesson 4: Loops: for, while, and Iteration Methods
- Lesson 5: Break, Continue, and return Statements
- Lesson 6: Exception Handling with try-catch-finally
- Lesson 7: Using @goto and @label (Rarely Used)
Chapter 5: Functions and Methods
- Lesson 1: Defining and Calling Functions
- Lesson 2: Function Arguments and Return Values
- Lesson 3: Multiple Dispatch in Julia
- Lesson 4: Optional and Keyword Arguments
- Lesson 5: Anonymous Functions and Lambda Expressions
- Lesson 6: Higher-Order Functions
- Lesson 7: Function Composition and Piping (|> operator)
- Lesson 8: Recursive Functions
- Lesson 9: Performance Optimization in Functions (@fastmath, @inbounds)
Chapter 6: Enumerations and Namespaces
- Lesson 1: Introduction to Enumerations
- Lesson 2: Declaring and Using Enums
- Lesson 3: Symbolic Enums in Julia
- Lesson 4: Working with Modules and Namespaces
- Lesson 5: Using and Importing Modules
Chapter 7: Strings and Text Processing
- Lesson 1: String Basics and String Interpolation
- Lesson 2: String Operations and Functions
- Lesson 3: Regular Expressions in Julia
- Lesson 4: String Manipulation and Formatting
- Lesson 5: Working with Unicode Strings
- Lesson 6: Parsing and Converting Strings
Chapter 8: Arrays, Tuples, and Collections
- Lesson 1: Declaring and Initializing Arrays
- Lesson 2: Multidimensional and Jagged Arrays
- Lesson 3: Tuples and Named Tuples
- Lesson 4: Dictionaries and Sets
- Lesson 5: Iterating Over Collections
- Lesson 6: Iterators and Generators
Chapter 9: Object-Oriented and Type System in Julia
- Lesson 1: Introduction to Object-Oriented Programming in Julia
- Lesson 2: Structures (struct) and Mutable Structs
- Lesson 3: Type Conversion and Promotion
- Lesson 4: Multiple Dispatch and Polymorphism
- Lesson 5: Understanding Julia's Type Hierarchy
- Lesson 6: Abstract and Concrete Types
- Lesson 7: Parametric Types
- Lesson 8: Type Annotations and Type Constraints
Chapter 10: Metaprogramming and Macros
- Lesson 1: Introduction to Metaprogramming
- Lesson 2: Using Macros for Code Generation
- Lesson 3: Symbolic Computation in Julia
- Lesson 4: Using @generated Functions for Performance
Chapter 11: File I/O and Serialization
- Lesson 1: File Handling Basics
- Lesson 2: Working with Streams
- Lesson 3: JSON and CSV Handling
- Lesson 4: Binary File Handling
- Lesson 5: Serialization and Deserialization
- Lesson 6: Asynchronous File Operations
Chapter 1: Performance Optimization in Julia
- Lesson 1: Benchmarking Code with BenchmarkTools.jl
- Lesson 2: Memory Management and Garbage Collection
- Lesson 3: Optimizing Loops and Vectorization
- Lesson 4: Avoiding Performance Pitfalls
- Lesson 5: Using @inbounds, @fastmath, and @simd
- Lesson 6: Julia’s LLVM-Based Compilation
Chapter 2: Connecting to Databases with Julia
- Lesson 1: Database Basics and SQL in Julia
- Lesson 2: Working with SQLite, PostgreSQL, and MySQL
- Lesson 3: Using DataFrames.jl for Data Manipulation
- Lesson 4: Performing CRUD Operations
Chapter 3: Multithreading and Parallel Computing in Julia
- Lesson 1: Introduction to Parallel and Concurrent Programming
- Lesson 2: Task-Based Parallelism with Threads.jl
- Lesson 3: Using Threads.@spawn for Multithreading
- Lesson 4: Distributed Computing with Distributed.jl
- Lesson 5: GPU Programming with CUDA.jl and AMDGPU.jl
- Lesson 6: Task-Based Concurrency and Coroutines
Chapter 4: Signal Handling, Preprocessing and Exception Safety
- Lesson 1: Introduction to Signal Handling
- Lesson 2: Handling Interrupts, Signals and System Calls in Julia
- Lesson 3: Preprocessing and Compilation Techniques
- Lesson 4: Using @error, @warn, and Logging
- Lesson 5: Debugging in Julia
Chapter 5: Machine Learning, Deep Learning and Data Science with Julia
- Lesson 1: Introduction to Machine Learning with MLJ.jl
- Lesson 2: Neural Networks with Flux.jl
- Lesson 3: DataFrames.jl for Data Manipulation
- Lesson 4: Statistical Computing with StatsBase.jl
- Lesson 5: Data Visualization with Makie.jl and Plots.jl
Chapter 6: Cryptography and Security in Julia
- Lesson 1: Introduction to Cryptography in Julia (Crypto.jl)
- Lesson 2: Hashing and Secure Data Storage
- Lesson 3: Implementing Symmetric and Asymmetric Encryption
- Lesson 4: Secure Random Number Generation
Chapter 7: Web Development with Julia
- Lesson 1: Introduction to Web Development in Julia
- Lesson 2: Working with Genie.jl Framework
- Lesson 3: Building REST APIs in Julia
- Lesson 4: WebSockets and Real-Time Applications
Chapter 8: Networking and Socket Programming with Julia
- Lesson 1: Introduction to Networking in Julia
- Lesson 2: Working with TCP and UDP Sockets
- Lesson 3: HTTP Requests with HTTP.jl
- Lesson 4: Building a Simple Web Server with Julia
- Lesson 5: Implementing a Chat Application
Chapter 9: GUI Development with Julia
- Lesson 1: Introduction to GUI Programming in Julia
- Lesson 2: Using Gtk.jl for GUI Applications
- Lesson 3: Creating Interactive Dashboards with Dash.jl
- Lesson 4: Building Desktop Applications with Julia
Chapter 10: How to Build and Deploy a Julia Library
- Lesson 1: Creating and Structuring a Julia Package
- Lesson 2: Managing Dependencies with Pkg.jl
- Lesson 3: Writing Tests and Documentation
- Lesson 4: Publishing Packages to Julia's Registry
Chapter 11: Domain-Specific Applications
- Lesson 1: Numerical Computing and Scientific Computing
- Lesson 2: Finance and Quantitative Analysis in Julia
- Lesson 3: Julia for Bioinformatics
- Lesson 4: Control Systems and Signal Processing
Chapter 12: Final Capstone Project
- Lesson 1: Setting Up a Julia Project
- Lesson 2: Applying Julia in a Real-World Use Case
- Lesson 3: Best Practices for Julia Development
- Lesson 4: Performance Optimization and Deployment
- Lesson 5: Creating a GitHub Repository for Julia Projects