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Computer Science
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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
20.
Interoperability
20.1.
C and Fortran Integration
20.1.1.
Foreign Function Interface
20.1.2.
Data Type Mapping
20.1.3.
Memory Management
20.1.4.
Performance Considerations
20.2.
Python Integration
20.2.1.
PyCall Package
20.2.2.
Python Module Access
20.2.3.
Data Conversion
20.2.4.
Environment Management
20.3.
R Integration
20.3.1.
RCall Package
20.3.2.
R Function Calls
20.3.3.
Data Exchange
20.4.
Other Language Integration
20.4.1.
MATLAB Integration
20.4.2.
Java Integration
20.4.3.
JavaScript Integration
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19. Plotting and Visualization
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1. Introduction to Julia