1 Storage devices Existing devices 2 Parallelizing files’ storage Striping Introduction to Map/Reduce 3 Risks of data loss and corruption 4 Data consistency Checksums Practical usage 5 Data safety Redundancy Parity Erasure coding 6 Conclusion

1 Asynchronous I/O Latency Asynchronous I/O interfaces Message queues 2 I/O optimizations Optimizing network transfers Optimizing local transfers 3 Influence of data structures on I/O Measuring I/O efficiency of algorithms 4 Caching Principles Policies Distributed Caches 5 Conclusion

Intro Threading Safety Solutions 1 Introduction and expectations Scope : what is parallelism ? Finding parallelism Expectations 2 Threading, theory and practice Processes and threads Python threading C ++threading and async 3 Thread-safety issues Data races Thread safety 4 Thread-safety solutions Avoid the problem Replicate Atomics Locking

1 Measuring Performance What is performance ? Tools available Finding bottlenecks 2 Code modernization 3 Improving Memory Handling Context Containers and memory Container reservation Detecting offending code 4 The nightmare of thread safety Context and constraints Identifying problems Solving problems Thread contention 5 Low level optimizations Scope and target How to measure ? Improving 6 Conclusion

1 Why python and C++ Pros and Cons of each language Respective usecases 2 C ++getting usable Language “simplifications” Making bad code harder to write 3 Performant C++ New performance related features Templates Avoiding virtuality when possible 4 Migrating from Python 2 to python 3 Tour of python 3 changes How to support both versions How to migrate 5 Conclusion

Intro Threading Safety Solutions 1 Introduction and expectations Scope : what is parallelism ? Finding parallelism Expectations 2 Threading, theory and practice Processes and threads Python threading C ++threading and async 3 Thread-safety issues Data races Thread safety 4 Thread-safety solutions Avoid the problem Replicate Atomics Locking

本章我们讨论分析时间序列数据（检验序列相关性，估计ARMA模型，使用分布滞后，非平稳时间序列的单位根检验）的单方程回归方法

这一章描述了组对象的视图与过程。对一个组我们可以计算各种统计量，描述不同序列之间的关系，并以各种方式显示出来，例如表格、数据表、图等

六、理论板数的捷算法 七、关于二元连续精馏的其它流程 1．塔顶设有分凝器 2．冷液回流 3．直接蒸汽加热流程 4．多股加料和侧线出料流程 5． 回收塔流程

• Excel是专门用于表格数据处理的软件。 • 具体用途 –表格输出 –图表输出 –快速计算（公式、填充） –数据处理（排序、筛选、分类汇总） • 学习内容 –数据输入 –格式设置 – 公式输入与填充 – 数据处理方法