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Computer Science
Programming
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Julia Programming
1. Introduction to Julia
2. Installation and Environment Setup
3. Julia Language Fundamentals
4. Data Types and Type System
5. Operators and Expressions
6. Control Flow
7. Strings and Text Processing
8. Collections and Data Structures
9. Functions
10. Custom Types and Structures
11. Multiple Dispatch
12. Modules and Packages
13. Input and Output
14. Error Handling and Debugging
15. Metaprogramming
16. Performance and Optimization
17. Concurrency and Parallelism
18. Scientific Computing Ecosystem
19. Plotting and Visualization
20. Interoperability
16.
Performance and Optimization
16.1.
Performance Fundamentals
16.1.1.
Julia Performance Model
16.1.2.
Compilation Process
16.1.3.
Type Inference
16.1.4.
Method Specialization
16.2.
Performance Analysis
16.2.1.
Timing Macros
16.2.2.
Memory Profiling
16.2.3.
Allocation Tracking
16.2.4.
Benchmarking Tools
16.3.
Optimization Techniques
16.3.1.
Type Stability
16.3.2.
Memory Management
16.3.3.
Loop Optimization
16.3.4.
Vectorization
16.3.5.
In-place Operations
16.4.
Performance Debugging
16.4.1.
Code Inspection Macros
16.4.2.
Performance Bottlenecks
16.4.3.
Memory Allocation Issues
16.4.4.
Type Instabilities
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17. Concurrency and Parallelism