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Sanic based micro-service infrastructure

and other advantages. It is the combination of these advantages, based on sanic, the integration of a number of popular libraries to build micro-services. The Sanic framework is a similar asynchronous flask framework, simple and lightweight, and has a high performance. This project is a micro-service framework based on Sanic. Characteristics Use

Python WEB Framework sanic Linux Platform installation

1. Operating systemCentOS 7.2 X642. Install the System PackageGcc-c++Zlib-devel3.update Python 3.51). Install PythonPython-3.5.2.tgz./configureMakeMake install2). New version of Soft connectionCd/usr/binRM pythonLn-s/usr/local/bin/python3/usr/bin/python4. Install the Python package1). setuptools-30.3.0.tar.gz2). uvloop-0.6.7.tar.gz3). multidict-2.1.4.tar.gz4). aiofiles-0.3.0.tar.gz5). ujson-1.35.tar.gz6). httptools-0.0.9.tar.gz7). Sanic-0.1.8.tar.gz5.

Sanic Connecting the PostgreSQL database

Tags: sanic jinja2 peewee_async1. Install the System Package# yum Install Postgresql-devel2. Install the Python packagePeewee-2.8.5.tar.gzPsycopg2-2.6.2.tar.gz1). Install Peewee-async# pip Install Peewee-asyncCollecting Peewee-asyncDownloading PEEWEE_ASYNC-0.5.6-PY3-NONE-ANY.WHLRequirement already satisfied:peewee>=2.8.0 in/usr/local/lib/python3.5/site-packages (from Peewee-async)Installing collected Packages:peewee-asyncSuccessfully installed peewee-

Getting started with the fastest Python WEB framework

Speed comparison Frame Implement the Basics number of requests per second Average Time Sanic Python 3.5 + Uvloop 30,601 3.23ms Wheezy Gunicorn + Meinheld 20,244 4.94ms Falcon Gunicorn + Meinheld 18,972 5.27ms Bottle Gunicorn + Meinheld 13,596 7.36ms Flask Gunicorn + Meinheld

Getting started with the fastest Python WEB framework

Speed comparisonFramework implementation base requests per second average timeSanic Python 3.5 + uvloop 30,601 3.23msWheezy Gunicorn + Meinheld 20,244 4.94msFalcon Gunicorn + Meinheld 18,972 5.27msBottle Gunicorn + Meinheld 13,596 7.36msFlask Gunicorn + Meinheld 4,988 20.08msKyoukai Python 3.5 + uvloop 3,889 27.44msAiohttp Python 3.5 + uvloop 2,979 33.42msInstallationEnvironment: python3.5+?python-m pip Install SanicHello WorldCreate a file main.py, write the following content1.from

Python Web framework for quick Mastery!

Web Framework Environment number of Requests/S Average Time Sanic Python 3.5 Uvloop 31 3ms Wheezy Gunicorn Meinheld 21st 5ms Falcon Gunicorn Meinheld 19 6ms Bottle Gunicorn Meinheld 14 7ms Flask Gunicorn Meinheld 5 20ms Kyoukai Python 3.5 Uvloop 4

Basic HTTP Service performance test (Python vs Golang)

1m Test @ http://127.0.0.1:8080 TenThreads and $connections Thread Stats Avg Stdev Max+/-Stdev Latency147.44ms $.17ms467.54ms86.25%Req/sec141.40 57.52 202.00 65.17%81818Requestsinch 1.00m, -. 15MB Read Socket errors:connect0, read1,Write 0, timeout0Requests/SEC:1361.25Transfer/SEC:275.17KBPython3 began to support the native co-process to handle the event loop, although Tornado also support, but for convenience, directly with the fastest sanic

jquery methods for parsing data in JSON format (object, String)

return JSON data from the background, and the front desk will hand it to jquery, haha!! The jquery asynchronous request sets the type (typically this configuration property) to "JSON", or the $.getjson () method to get the server back, so the eval () method is not needed because the result is already a JSON object, just call the object directly, Here is an example of the $.getjson Method 1 code as follows:?varData= "{root: [{name: ' 1 ', Value: ' 0 '}, {name: ' 6101 ', Value: ' Beijing '}, {nam

How jquery parses data in json format (Object and string) _ jquery

asynchronous requests set the type (usually this Configuration Attribute) to "json", or use $. the getJSON () method does not need the eval () method to obtain the server response, because the result is already a json object. You only need to call this object directly. Here, $. the getJSON method is used as an example. Example 1 The Code is as follows: Var data = "{root: [{name: '1', value: '0'}, {name: '000000', value: 'beijing'}, {name: '20140901', value: 'tianjin City '}, {name: '20160301',

Python has the Asyncio and aiohttp in the crawler this type of IO task multi-threaded/multi-process still exist necessary?

multi-threading, do not like the style of the co-process of the answer is obviously not the topic of discussion. My main question is:If Python doesn't take Gil, I think the ideal model for the future should be multi-process + co-asyncio+aiohttp. Uvloop and Sanic and 500lines a reptile project has begun to do so. Do not discuss compatibility, the above view is correct, there are some scenarios can not replace multi-threaded.Async has a lot of scenario

jquery method of parsing JSON-formatted data (object, String) _jquery

the object directly, Here take the $.getjson method as an example Example 1 The code is as follows: var data= ' { root: [ {name: ' 1 ', Value: ' 0 '}, {name: ' 6101 ', Value: ' Beijing '}, {name: ' 6102 ', Value: ' Tianjin '}, {name: ' 6103 ', Value: ' Shanghai '}, {name: ' 6104 ', Value: ' Chongqing '}, {name: ' 6105 ', Value: ' Weinan '}, {name: ' 6106 ', Value: ' Yanan '}, {name: ' 6107 ', Value: ' Hanzhong '}, {name: ' 6108 ', Value: ' Yulin '}, {name: ' 6109 ', Value

How jquery parses a JSON string (JSON-formatted/json object) _jquery

'}, {name: ' 6106 ', Value: ' Yanan '}, {name: ' 6107 ', Value: ' Hanzhong '}, {name: ' 6108 ', Value: ' Yulin '}, {name: ' 6109 ', Value: ' Ankang '}, {name: ' 6110 ', Value: ' Shangluo '} ] Jquery $.getjson ("http://sanic.cnblogs.com/", {param: "sanic"},function (data) { //The data returned here is already a JSON object // The following other actions are the same as the first case $.each (Data.root,function (idx,item) { if

Python Open Source Project Top30

Python 3.5+ Web server, designed for acceleration. Sanic supports asynchronous request processing, which means you can use some of the async/await syntax in Python 3.5: [Github 8028 stars, provided by Channel Cat and Eli Uriegas]Https://github.com/channelcat/sanicNo 5:python-fireA library that can automatically generate a command line interface (CLI) from any Python object. [Github 7775 stars, David Bieber from Google Brain]Https://github.com/channel

How jquery parses a JSON string

: ' 6102 ', Value: ' Tianjin '},{name: ' 6103 ', Value: ' Shanghai City '},{name: ' 6104 ', Value: ' Chongqing '},{name: ' 6105 ', Value: ' Weinan '},{name: ' 6106 ', Value: ' Yanan '},{name: ' 6107 ', Value: ' Hanzhong '},{name: ' 6108 ', Value: ' Yulin '},{name: ' 6109 ', Value: ' Ankang '},{name: ' 6110 ', Value: ' Shangluo '}]}"; Jquery The code is as follows Copy Code $.getjson ("http://sanic.cnblogs.com/", {param: "

2017 30 stunning Python open source project __python

Assistant (v0.6+): Open Source Home automation platformRun on Python 3 [GitHub 11357 stars]. Provided by Paulus Schoutsen second place Pytorch: Strong GPU accelerates tensor and dynamic neural network in Python [GitHub 11019 stars]. Provided by Adam Paszke and other members of the Pytorch team third place Grumpy: A Python source code decompile and run [GitHub 8367 stars]. Provided by Dylan Trotter and other members of Google Fourth place Sanic

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