14 lessons after five years of professional programming

本文提供了提高软件性能和可靠性的实用建议,包括减轻数据库负担、避免并发问题、减少状态依赖等,强调了良好的代码习惯和团队沟通的重要性。

In no particular order:

1. When performance is an issue, if you can calculate or process it at the application layer, then take it out of the database layer. order by/group by are classic examples. It’s almost always easier to scale out your application layer than your database layer. As true for MySQL on your server as it is on the sqlite in your handheld. EDIT Some great comments on HN for this one so I felt like I better clarify: we only do this for certain queries not to improve necessarily the client response time, but to relieve load if the query is battering the DB and making it a significant bottleneck for ALL clients.

2. Concurrency, avoid it if you can. If not, then remember that with great power comes great responsibility Avoid working directly with threads if you can. Work at a higher level of abstraction if possible. In iOS, for example: GCD, dispatch and operation queues are your friends. The human mind was not designed to reason about infinite temporal state—I get nauseous thinking about how I learned all this first hand.

3. Minimize state as much as possible, and keep it as localized as possible. The functionalists were/are onto something.

4. Short composable methods are your friend.

5. Comments are dangerous since they can get out of date and mislead, but so is not having them. Don’t comment the trivial, but strategically write paragraphs if needed in specific sections. Your memory will fail you, as soon as tomorrow morning, even after coffee.

6. If you feel one use-case scenario will “probably be ok”, that’s the one that’s going to lead to catastrophic failure a month in production. Trust your paranoid gut, test and verify.

7. When in doubt, over communicate all concerns with your team.

8. Do the right thing—you usually know what that thing is.

9. Your users aren’t stupid, they just don’t have the patience for your cut corners.

10. If an engineer is not tasked with the long term maintenance of the systems they build, view them with suspicion. 80% of the blood, sweat, and tears of software occurs after its been released—that’s when you become a world weary, but wiser “professional.”

11. Checklists are your friends.

12. Take initiative to purposeful enjoy your work, sometimes this will take effort.

13. Silent failures, I still have nightmares. Monitor, log, alert. But be wary of false positives and the inevitable desensitization it leads to. Keep your system senses clear and alert.

14. At the end of the day, we’re paid to manage complexity. Work accordingly.

*Side note: talks by Rich Hickey and Clean Code by Robert Martin have been very positive recent influences on my work.

通过短时倒谱(Cepstrogram)计算进行时-倒频分析研究(Matlab代码实现)内容概要:本文主要介绍了一项关于短时倒谱(Cepstrogram)计算在时-倒频分析中的研究,并提供了相应的Matlab代码实现。通过短时倒谱分析方法,能够有效提取信号在时间与倒频率域的特征,适用于语音、机械振动、生物医学等领域的信号处理与故障诊断。文中阐述了倒谱分析的基本原理、短时倒谱的计算流程及其在实际工程中的应用价值,展示了如何利用Matlab进行时-倒频图的可视化与分析,帮助研究人员深入理解非平稳信号的周期性成分与谐波结构。; 适合人群:具备一定信号处理基础,熟悉Matlab编程,从事电子信息、机械工程、生物医学或通信等相关领域科研工作的研究生、工程师及科研人员。; 使用场景及目标:①掌握倒谱分析与短时倒谱的基本理论及其与傅里叶变换的关系;②学习如何用Matlab实现Cepstrogram并应用于实际信号的周期性特征提取与故障诊断;③为语音识别、机械设备状态监测、振动信号分析等研究提供技术支持与方法参考; 阅读建议:建议读者结合提供的Matlab代码进行实践操作,先理解倒谱的基本概念再逐步实现短时倒谱分析,注意参数设置如窗长、重叠率等对结果的影响,同时可将该方法与其他时频分析方法(如STFT、小波变换)进行对比,以提升对信号特征的理解能力。
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