福州大学-软件工程EE308-2021秋
LAB_12_Course Summary
墨衍会员 · AI 创作全网分发 墨衍智能分发 通过墨衍一键同步至各平台 可同步平台 CSDN微信公众号微博知乎掘金百家号博客园抖音小红书 你的文章也可以这样分发 墨衍会员 ¥399起/年，写一次发全网
我也要 关注 + 加入社区| The Link Your Class | https://bbs.csdn.net/forums/MUEE308FZ?category=0 |
|---|---|
| The Link of Requirement of This Assignment | https://bbs.csdn.net/topics/603781458 |
| The Aim of This Assignment | Course Summary |
| MU STU ID and FZU STU ID | 19103581_831901103 |
1、 After so many times of experiment, my this major of software engineering have very deep understanding, at the same time I also realized to complete an experiment that need to learn in the process of module, which I also expected to begin the experiment, in the process of study, we studied a lot of knowledge, also learned as a team we need cooperation ability;
I strengthened my Python programming skills and learned some database languages like MySQL in the process of interaction with classmates at the front end.
I was in charge of the back end crawler, and part of my code was not well developed due to the rush to deliver. There is still a lot of room for improvement and iteration.
| work | time（min） |
|---|---|
| Personal Programming | 600 |
| Pair programming | 600 |
| Team programming | 6000 |
| Total | 7200 |
2、 A team has to do what it's supposed to do, work together, or it'll just make a piece of s**t
3、I tried my best to learn some knowledge that I had never been exposed to, but the effect was not good
4、Thanks to everyone for sticking with it, especially shizhe and me
5、None
6、I want to make something that I'm really happy with
相关推荐
AWS Certified Solutions Architect Associate英文视频.rar
├ 01 Introduction To The Course,网盘文件 永久连接 │ │ 001 Introduction Overview 2018.mp4 │ └ 002 The Exam Blue Print.mp4 ├ 02 AWS - 10000 Feet Overview │ │ 003 The History Of AWS So Far.mp4 │ │ 004 AWS - 10000 Foot Overview Part 1.mp4 │ │ 005 AWS - 10000 Foot Overview Part 2.mp4 │ │ 006 AWS - 10000 Foot Overview Part 3.mp4 │ │ 007 AWS - 10000 Foot Overview Part 4.mp4 │ │ 008 Dont Freak Out.mp4 │ │ 009 Sign Up To AWS Free Tier.mp4 │ └ quizzes │ └ 001 10000 Foot Quiz.html ├ 03 Identity Access Management IAM │ │ 010 IAM 101.mp4 │ │ 011 IAM - Lab.mp4 │ │ 012 Create A Billing Alarm - Lab.mp4 │ │ 013 IAM Summary.mp4 │ └ quizzes │ └ 002 IAM - Quiz.html ├ 04 AWS Object Storage and CDN - S3 Glacier and CloudFront │ │ 014 S3 - 101.mp4 │ │ 015 Create an S3 Bucket - Lab.mp4 │ │ 016 Version Control - Lab.mp4 │ │ 017 Cross Region Replication.mp4 │ │ 018 Lifecycle Management Glacier - Lab.mp4 │ │ 019 CloudFront CDN Overview.mp4 │ │ 020 Create a CloudFront CDN - Lab.mp4 │ │ 021 S3 - Security Encryption.mp4 │ │ 022 Storage Gateway.mp4 │ │ 023 Snowball.mp4 │ │ 024 Snowball - Lab.mp4 │ │ 025 S3 Transfer Acceleration.mp4 │ │ 026 Create A Static Website Using S3.mp4 │ │ 027 S3 Summary.mp4 │ └ quizzes │ └ 003 S3 Quiz.html ├ 05 EC2 - The Backbone of AWS │ │ 028 EC2 101 - Part 1.mp4 │ │ 029 EC2 101 - Part 2.mp4 │ │ 030 Lets Get Our Hands Dirty Launch An EC2 Instance - Part 1.mp4 │ │ 031 Lets Get Our Hands Dirty Launch An EC2 Instance - Part 2.mp4 │ │ 032 How To Use Putty Windows Users Only.mp4 │ │ 033 Security Groups Basics.mp4 │ │ 034 Upgrading EBS Volume Types - Lab.mp4 │ │ 035 Creating a Windows EC2 Instance RAID Group.mp4 │ │ 036 Create An AMI - Lab.mp4 │ │ 037 AMIs - EBS Root Volumes vs Instance Store.mp4 │ │ 038 Load Balancers Health Checks.mp4 │ │ 039 Cloud Watch EC2.mp4 │ │ 040 The AWS Command Line EC2.mp4 │ │ 041 Using IAM roles with EC2.mp4 │ │ 042 S3 CLI Regions.mp4 │ │ 043 Using Bootstrap .mp4 │ │ 044 EC2...........
EE308-Lab12-Course Summary
EE308-Lab12-Course SummaryFormat DescriptionSelf-analysisThe Mythical Man-MonthTeam AnalysisWhat I want to say Format Description The Link Your Class https://bbs.csdn.net/forums/MUEE308FZ The Link of Requirement of This Assignment https://bbs.csdn.
R语言期末复习：从向量索引到分组聚合的知识点汇总
R语言作为统计计算与数据分析的基石，其核心在于数据结构与函数式操作。向量、矩阵、数组、数据框和因子构成了数据组织的基本单元，而基于位置的索引、逻辑索引以及apply族函数则实现了高效的批量运算。掌握这些原理能显著减少类型转换与维度不匹配的常见错误，提升数据清洗、统计建模和可视化的工程效率。在数据科学实践中，从工作空间管理到分组聚合、缺失值处理，处处依赖这些基础知识。这份期末复习知识点汇总，正是围绕数据结构、向量索引、apply族与分组聚合等关键概念展开，帮助学习者在短时间内系统梳理R语言的核心操作。
AWS机器学习工程师认证：云原生ML工程交付能力实战指南
机器学习工程化（MLOps）是将算法模型转化为稳定、可监控、可扩展生产服务的关键能力。其核心在于数据工程、模型训练部署、持续监控与安全合规的端到端闭环，而非孤立的算法调优。在AWS云环境中，这一过程高度依赖SageMaker、Glue、CloudWatch等原生服务的协同配置与资源约束决策，例如S3分区策略直接影响Athena查询成本，Serverless Inference的冷启动需权衡MemorySize与Provisioned Concurrency。真实场景中，模型漂移检测、KMS密钥轮换兼容性、P
通信行业基于MongoDB的安全合规与性能优化：5G时序数据处理、可查询加密及窗口函数应用
内容概要：本文围绕MongoDB在通信行业的深度应用，系统讲解了可查询加密、时间序列集合、窗口函数与性能诊断四大核心技术。通过详实的代码案例，展示了如何利用可查询加密实现敏感数据合规存储与查询，使用时序集合高效处理5G网络KPI等高频写入场景，借助窗口函数进行经营指标的趋势分析，并结合explain()与查询分析器完成性能调优。文章还涵盖分片一致性检查、索引优化等运维实践，全面覆盖通信系统对安全、性能与扩展性的严苛要求。; 适合人群：具备一定数据库基础，从事通信行业研发、架构或运维工作1-3年的技术人员，尤其是参与5G网络监控、客户数据管理或大数据平台建设的相关人员。; 使用场景及目标：① 实现用户手机号、身份证等敏感信息的加密存储与等值查询，满足安全合规要求；② 构建高吞吐、低延迟的5G基站KPI时序数据存储与分析系统；③ 在数据库层直接完成滑动平均、累计求和等经营分析，减少应用层计算负担；④ 诊断慢查询、验证索引有效性，保障系统高性能运行。; 阅读建议：此资源强调理论与实战结合，建议读者在本地或测试环境部署MongoDB 7.0+版本，动手复现文中代码，重点关注schemaMap配置、时序集合参数选择与窗口函数语法细节，并结合explain执行计划理解底层优化机制，从而真正掌握通信级数据架构的设计精髓。
