1. 前言
系列 - 数据结构与算法
无论是学习数据结构与算法或者其他知识点, 其要点精髓都在 Python之禅 里了
The Zen of Python |
Python之禅 |
| by Tim Peters | 作者: 蒂姆·皮特斯 |
| Beautiful is better than ugly. | 优美胜于丑陋 |
| Explicit is better than implicit. | 明了胜于晦涩 |
| Simple is better than complex. | 简洁胜于复杂 |
| Complex is better than complicated. | 复杂胜于凌乱 |
| Flat is better than nested. | 扁平胜于嵌套 |
| Sparse is better than dense. | 间隔胜于紧凑 |
| Readability counts. | 可读性很重要 |
| Special cases aren’t special enough to break the rules. | 即便假借特例的实用性之名 |
| Although practicality beats purity. | 也不可违背这些规则 |
| Errors should never pass silently. | 不要包容所有错误 |
| Unless explicitly silenced. | 除非你确定需要这样做 |
| In the face of ambiguity, refuse the temptation to guess. | 当存在多种可能, 不要尝试去猜测 |
| There should be one– and preferably only one –obvious way to do it. | 而是尽量找一种, 最好是唯一一种明显的解决方案 |
| Although that way may not be obvious at first unless you’re Dutch. | 虽然这并不容易, 因为你不是 Python 之父 |
| Now is better than never. | 做也许好过不做 |
| Although never is often better than right now. | 但不假思索就动手还不如不做 |
| If the implementation is hard to explain, it’s a bad idea. | 如果你难以向人描述你的方案, 那肯定不是一个好方案 |
| If the implementation is easy to explain, it may be a good idea. | 反之亦然 |
| Namespaces are one honking great idea – let’s do more of those! | 命名空间是一种绝妙的理念, 我们应当多加利用 |