第一节 事件与概率 第二节 概率分布 第三节 正态分布 第四节 二项分布 第五节 波松分布 第六节 样本平均数的抽样分布 第七节 t分布

第一节 显著性检验的基本原理 第二节 样本平均数与总体平均数差异显著性检验 第三节 两个样本平均数的差异显著性检验 第三节 百分数资料差异显著性检验 第四节 总体参数的区间估计

3.1 概述 3.2 组合逻辑电路的基本分析和设计方法 3.3 若干常用的组合逻辑电路 3.4 组合电路中的竞争－冒险

第一节 数据收集 一、统计测量尺度 二、数据收集方法 三、调查表与问卷设计 第二节 数据整理与显示

 输入输出命令  数据库操作命令  数据表操作命令  记录指针定位命令  数据记录操作命令  数据表和数组之间的数据传送命令  排序和索引命令  记录查询命令  统计与计算命令  环境参数设置命令  程序执行控制命令

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 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 Vectorization promises 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

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

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