不熟悉SQL和关系数据库的过程开发人员/程序员不需要任何正式的培训，也不需要了解如何使用SQL，快速阅读SQL For Dummies之类的东西就足以使用像Oracle和SQL Server这样的关系数据库。

在处理存储在关系数据库(如Oracle和SQL Server)中的数据的应用程序中，许多错误往往是由于缺乏对关系数据库语言的理解或如何使用造成的;SQL。

I used to work for a software vendor who had the mentality that all a developer needed was the SQL For Dummies book or something similiar and they would be fully equipped to handle any relational database issue. Now that the clients of this vendor have databases measuring in hundreds of gigabytes this lack of SQL knowledge is coming back around in a negative way. It's not just bad performing lookups and or updates and inserts that are a problem but the actual design of the database itself that is the real obstacle.

如果当时开发主管能够像对待他们构建应用程序所用的语言那样对待SQL和关系数据库，那么所有这些都是可以避免的，而且成本也会低得多。

不要认为SQL不重要，因为它最终会回来困扰你。你可能可以在一段时间内摆脱它，甚至几年，但你最终会达到一个断点，在没有完全重新设计数据库的情况下，你无法继续前进，那是成本最高的时候。

事实证明，在Linux下是否检查内存分配是否返回一个引用并不重要，因为它实际上会欺骗你，在未来的某个时候实际分配内存，或者如果它没有你需要的内存，就完全终止你的程序。

作为一名老的过程式程序员，当我第一次开始为一个业余项目用Java编程时，我并不真正理解OO。编写了大量的代码，却没有真正理解接口的意义，试图通过将所有东西都强制放到继承层次结构中来最大化代码重用——当一个层次结构无法容纳清理时，希望Java具有多重继承。我的代码成功了，但我现在对早期的东西感到畏缩。

When I started reading about dynamic languages and trying to figure out a good one to learn, reading about Python's significant whitespace turned me off - I was convinced that I would hate that. But when I eventually learned Python, it became something I really like. We generally make the effort in whatever language to have consistent indent levels, but get nothing for it in return (other than the visual readability). In Python, I found that I wasn't doing any more effort than I had before with regard to indent levels, and Python handled what I'd been having to use braces or whatever for in other languages. It makes Python feel cleaner to me now.

我想我需要它。

总有一天，我会有一个现实的想法，那就是构建一些重要的代码/系统/什么的需要多长时间。

那是朝九晚五的工作