Scrapy 2.5 documentation Scrapy is a fast high-level web crawling [https://en.wikipedia.org/wiki/Web_crawler] and web scraping [https://en.wikipedia.org/wiki/Web_scraping] framework, used to crawl websites Exceptions See all available exceptions and their meaning. Built-in services Logging Learn how to use Python’s builtin logging on Scrapy. Stats Collection Collect statistics about your scraping crawler. notifications when certain events occur. Telnet Console Inspect a running crawler using a built-in Python console. Web Service Monitor and control a crawler using a web service. Solving specific problems

modules | next | Celery 2.5.5 documentation » This document describes an older version of Celery (2.5). For the latest stable version please go here. Celery - Distributed Task Queue Contents: Getting Cookbook Contributing Community Resources Tutorials Frequently Asked Questions What’s new in Celery 2.5 Change history API Reference Internals Indices and tables Index Module Index Search Page © Copyright documentation » This document describes an older version of Celery (2.5). For the latest stable version please go here. Getting Started Release: 2.5 Date: February 04, 2014 Introduction Synopsis Overview Example

files CSV files Others Weblate’s Web API Notification hooks Exports RSS feeds Changes weblate 2.5 weblate 2.4 weblate 2.3 weblate 2.2 weblate 2.1 weblate 2.0 weblate 1.9 weblate 1.8 weblate 1.7 weblate you will see an overview of projects and components and their translation progress. New in version 2.5. By default, this will show the components of projects you are subscribed to, cross- referenced with Format strings Format string does not match source. Weblate supports following formats: Python format Python brace format PHP format C format Javascript format AngularJS interpolation string Omitting

是什么？ 如 README 所说： Fabric 是一个 Python (2.5-2.7) 的库和命令行工具，用来提高基于 SSH 的 应用部署和系统管理效率。 更具体地说，Fabric 是： 一个让你通过 命令行 执行 无参数 Python 函数 的工具； 一个让通过 SSH 执行 Shell 命令更加 容易 、 更符合 Python 风格 的命令 库（建立于一个更低层次的库）。 自然而然地，大部分用户把这两件事结合着用，使用 自然而然地，大部分用户把这两件事结合着用，使用 Fabric 来写和执行 Python 函数或 task ，以实现与远程服务器的自动化交互。让我们一睹为快吧。 Hello, fab 一个合格的教程少不了这个“惯例”： def hello(): print("Hello world!") 把上述代码放在你当前的工作目录中一个名为 fabfile.py 的 Python 模块文件 中。然后这个 hello 函数就可以用 工具所做的只是导入 fabfile 并执行了相应一个或多个的函数，这里并没 有任何魔法——任何你能在一个普通 Python 模块中做的事情同样可以在一个 fabfile 中完成。 参见 Execution strategy, 定义任务, fab 选项和参数 任务参数 和你平时的 Python 编程一样，给任务函数传递参数很有必要``。Fabric 支持 Shell 兼容的参数用法： <任务名>:<参数>

开发支持 合约开发工具 WeBASE-IDE，ChainIDE 开发建链工具 提供一键搭链脚本工具 合约部署与测试 工具 交互式控制台Console SDK语言 Java、nodejs、go、python 快速开发组件 提供Spring-boot-starter 压测工具 SDK内嵌压测工具，支持Caliper 运维支持 运维建链工具 提供企业级联盟链部署工具 可视化数据展现 区块链浏览器 升系统的易用性，大幅缩短建链、部署应用的时间。 开发部署工具 交互式的命令行工具console 区块链浏览器 为了便于不同语言开发者快速开发应用，FISCO BCOS同时支持Java SDK、 Node.js SDK、Python SDK和Go SDK [https://github.com/FISCO-BCOS/go-sdk] 社区开发工具 依托庞大的开源生态，社区内众伙伴秉承“来自开发者，用于开发者”的共建 理念，在FISCO springframework.org/schema/beans/spring-beans-2.5.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd http://www.springframework.org/schema/aop

What’s new in Celery 3.1 (Cipater) What’s new in Celery 3.0 (Chiastic Slide) What’s new in Celery 2.5 API Reference Internals History Glossary Indices and tables Index Module Index Search Page This workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. So far there’s RCelery [http://leapfrogdevelopment transports are feature complete, Python ❨2.5, 2.6, 2.7, 3.2, 3.3❩ PyPy ❨1.8, 1.9❩ Jython ❨2.5, 2.7❩. This is the last version to support Python 2.5, and from the next version Python 2.6 or newer is required.

availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In addition to Python there’s node-celery [https://github.com/mher/node-celery] for and Celery version 4.0 runs on Python ❨2.7, 3.4, 3.5❩ PyPy ❨5.4, 5.5❩ This is the last version to support Python 2.7, and from the next version (Celery 5.x) Python 3.5 or newer is required. If you’re running an older version of Python, you need to be running an older version of Celery: Python 2.6: Celery series 3.1 or earlier. Python 2.5: Celery series 3.0 or earlier. Python 2.4 was Celery series 2.2

availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In addition to Python there’s node-celery [https://github.com/mher/node-celery] for and Celery version 4.0 runs on Python ❨2.7, 3.4, 3.5❩ PyPy ❨5.4, 5.5❩ This is the last version to support Python 2.7, and from the next version (Celery 5.x) Python 3.5 or newer is required. If you’re running an older version of Python, you need to be running an older version of Celery: Python 2.6: Celery series 3.1 or earlier. Python 2.5: Celery series 3.0 or earlier. Python 2.4 was Celery series 2.2

availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In addition to Python there’s node-celery [https://github.com/mher/node-celery] for and Celery version 4.0 runs on Python ❨2.7, 3.4, 3.5❩ PyPy ❨5.4, 5.5❩ This is the last version to support Python 2.7, and from the next version (Celery 5.x) Python 3.5 or newer is required. If you’re running an older version of Python, you need to be running an older version of Celery: Python 2.6: Celery series 3.1 or earlier. Python 2.5: Celery series 3.0 or earlier. Python 2.4 was Celery series 2.2

availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In addition to Python there’s node-celery [https://github.com/mher/node-celery] for and Celery version 4.0 runs on Python ❨2.7, 3.4, 3.5❩ PyPy ❨5.4, 5.5❩ This is the last version to support Python 2.7, and from the next version (Celery 5.x) Python 3.5 or newer is required. If you’re running an older version of Python, you need to be running an older version of Celery: Python 2.6: Celery series 3.1 or earlier. Python 2.5: Celery series 3.0 or earlier. Python 2.4 was Celery series 2.2