PROCEDURAL PROGRAMMING AT SCALE: Exploring Advanced Concepts in Structured Code, Memory Management, and Optimization
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Fuera de stock
Fuera de stock
Peso con empaque:
0.33 kg
0.33 kg
Devolución:
No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Sobre este producto
- Structured Code Design at Scale: Learn how to design and organize procedural code for maintainability and scalability, emphasizing modularity, clear control flow, and reusable components.
- Advanced Memory Management: Dive into dynamic memory allocation, memory pools, garbage collection strategies, and efficient stack and heap usage to maximize performance and minimize leaks.
- Optimization Techniques for Large Applications: Explore profiling tools, algorithmic optimizations, loop unrolling, inline functions, and cache-friendly programming to boost execution speed and resource efficiency.
- Concurrency in Procedural Programming: Understand approaches to safely implement concurrency and parallelism in procedural languages using threads, synchronization primitives, and inter-process communication.
- Error Handling and Robustness: Master best practices for error detection, handling, and recovery to build fault-tolerant applications that maintain stability at scale.
- Integrating Procedural Code with Modern Systems: Discover how to interface procedural programs with modern APIs, databases, and services to extend functionality and interoperability.
- Testing and Debugging at Scale: Learn scalable testing methodologies, debugging techniques, and automation tools to ensure code quality in large procedural codebases.
- Real-World Case Studies: Analyze large-scale projects that successfully implement procedural programming principles to solve complex engineering challenges.
- Focus on Scalability: Addresses the unique challenges of scaling procedural codebases for enterprise applications.
- Performance and Efficiency: Provides actionable techniques for optimizing memory and processing in large systems.
- Concurrency and Robustness: Guides on safely implementing concurrent operations and handling errors gracefully in procedural programs.
- Practical and Industry-Relevant: Includes case studies and real-world examples relevant to developers working with procedural languages in high-stakes environments.
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