在大型项目上,Python 是个烂语言吗?
最近在pongba的google groups看到一个较火的讨论:python是个烂语言https://groups.google.com/forum/?fromgroups=#!topic/pongba/X7OpNT4BZLQ。
比较客观的关于python的优点和缺点是什么呢。
这些看法:
“
可以很快的写点简单的东西出来。
但python代码一多开发效率就指数下降
一般的小项目, 代码超过 1000 行写 python 就已经是虐心了
代码超过 10w 以后你就别想用 python 开发了。
python 缺乏真正的开发工具
语法错误都在运行时
”
还算公正吗?
--------------------------------------------
我想问的不是哪种语言好哪种不好。而只是关于python自身的优势、劣势。

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



The article introduces the operation of MySQL database. First, you need to install a MySQL client, such as MySQLWorkbench or command line client. 1. Use the mysql-uroot-p command to connect to the server and log in with the root account password; 2. Use CREATEDATABASE to create a database, and USE select a database; 3. Use CREATETABLE to create a table, define fields and data types; 4. Use INSERTINTO to insert data, query data, update data by UPDATE, and delete data by DELETE. Only by mastering these steps, learning to deal with common problems and optimizing database performance can you use MySQL efficiently.

The key to feather control is to understand its gradual nature. PS itself does not provide the option to directly control the gradient curve, but you can flexibly adjust the radius and gradient softness by multiple feathering, matching masks, and fine selections to achieve a natural transition effect.

MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

MySQL performance optimization needs to start from three aspects: installation configuration, indexing and query optimization, monitoring and tuning. 1. After installation, you need to adjust the my.cnf file according to the server configuration, such as the innodb_buffer_pool_size parameter, and close query_cache_size; 2. Create a suitable index to avoid excessive indexes, and optimize query statements, such as using the EXPLAIN command to analyze the execution plan; 3. Use MySQL's own monitoring tool (SHOWPROCESSLIST, SHOWSTATUS) to monitor the database health, and regularly back up and organize the database. Only by continuously optimizing these steps can the performance of MySQL database be improved.

PS feathering is an image edge blur effect, which is achieved by weighted average of pixels in the edge area. Setting the feather radius can control the degree of blur, and the larger the value, the more blurred it is. Flexible adjustment of the radius can optimize the effect according to images and needs. For example, using a smaller radius to maintain details when processing character photos, and using a larger radius to create a hazy feeling when processing art works. However, it should be noted that too large the radius can easily lose edge details, and too small the effect will not be obvious. The feathering effect is affected by the image resolution and needs to be adjusted according to image understanding and effect grasp.

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.

Common reasons and solutions for MySQL installation failure: 1. Incorrect username or password, or the MySQL service is not started, you need to check the username and password and start the service; 2. Port conflicts, you need to change the MySQL listening port or close the program that occupies port 3306; 3. The dependency library is missing, you need to use the system package manager to install the necessary dependency library; 4. Insufficient permissions, you need to use sudo or administrator rights to run the installer; 5. Incorrect configuration file, you need to check the my.cnf configuration file to ensure the configuration is correct. Only by working steadily and carefully checking can MySQL be installed smoothly.

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).
