What is the Zen of python
In the fall of 2001, Foretec (a conference organizing company) was preparing to hold the 10th International Python Conference (IPC 10, the predecessor of Pycon). Foretec planned to collect a slogan to be printed on the conference T-shirts. In the end, they collected it from the Python community. There were more than 500 submissions.
In the end, "import this" was selected, and everyone was very satisfied with "import this". But after choosing this one, they realized they had to make it happen. After a brief discussion, "import this" was determined to be the output of "The Zen of Python" written by Tim Peter - the guiding principles of Python programming and design. (Recommended learning: Python video tutorial)
Enter import this in the Python interactive interpreter and it will display Tim Peters’ The Zen of python
Read the Zen of Python and you will understand why Python is so attractive.
Beautiful is better than ugly. # 优美胜于丑陋(Python以编写优美的代码为目标) Explicit is better than implicit. # 明了胜于晦涩(优美的代码应当是明了的,命名规范,风格相似) Simple is better than complex. # 简洁胜于复杂(优美的代码应当是简洁的,不要有复杂的内部实现) Complex is better than complicated. # 复杂胜于凌乱(如果复杂不可避免,那代码间也不能有难懂的关系,要保持接口简洁) Flat is better than nested. # 扁平胜于嵌套(优美的代码应当是扁平的,不能有太多的嵌套) Sparse is better than dense. # 间隔胜于紧凑(优美的代码有适当的间隔,不要奢望一行代码解决问题) Readability counts. # 可读性很重要(优美的代码是可读的) Special cases aren't special enough to break the rules. Although practicality beats purity. # 即便假借特例的实用性之名,也不可违背这些规则(这些规则至高无上) Errors should never pass silently. Unless explicitly silenced. # 不要包容所有错误,除非你确定需要这样做(精准地捕获异常,不写except:pass风格的代码) 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(如果不确定,就用穷举法) 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(这里的Dutch是指Guido) Now is better than never. Although never is often better than *right* now. # 做也许好过不做,但不假思索就动手还不如不做(动手之前要细思量) If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. # 如果你无法向人描述你的方案,那肯定不是一个好方案;反之亦然(方案测评标准) 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(倡导与号召)
Only by thinking more about it in daily use, studying it carefully, and slowly experiencing it, can you better understand the profound thoughts of the Zen of Python, and thus write concise and beautiful words more calmly , easy-to-understand Python program!
For more Python related technical articles, please visit the Python Tutorial column to learn!
The above is the detailed content of What is the Zen of python. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



HadiDB: A lightweight, high-level scalable Python database HadiDB (hadidb) is a lightweight database written in Python, with a high level of scalability. Install HadiDB using pip installation: pipinstallhadidb User Management Create user: createuser() method to create a new user. The authentication() method authenticates the user's identity. fromhadidb.operationimportuseruser_obj=user("admin","admin")user_obj.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

It is impossible to view MongoDB password directly through Navicat because it is stored as hash values. How to retrieve lost passwords: 1. Reset passwords; 2. Check configuration files (may contain hash values); 3. Check codes (may hardcode passwords).

As a data professional, you need to process large amounts of data from various sources. This can pose challenges to data management and analysis. Fortunately, two AWS services can help: AWS Glue and Amazon Athena.

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

The steps to start a Redis server include: Install Redis according to the operating system. Start the Redis service via redis-server (Linux/macOS) or redis-server.exe (Windows). Use the redis-cli ping (Linux/macOS) or redis-cli.exe ping (Windows) command to check the service status. Use a Redis client, such as redis-cli, Python, or Node.js, to access the server.

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.
