Saravanan666/pypi-org huggingface dataset:
Package: listrak-api-wrapper
listrak-api-wrapperThis is a wrapper for theListrak API. This wrapper is meant to be used with the Listrak /email APINote: This is a work in progress, not all endpoints are functional at the moment. Please see bottom of page for details.Installation InstructionsInstall Requirements (If Necessary)The "requests" library is required to use this package.pip install requestsInstall Librarypip install listrak-api-wrapperUsage InstructionsCreate a ClientNote: This example assumes the LISTRAK_CLIENT_ID and LISTRAK_CLIENT_SECRET API credentials are saved as environment variables.import os
from listrak import listrak


# Create listrak_api obj that will be used to authenticate with Listrak API
client_id = os.getenv("LISTRAK_CLIENT_ID")
client_secret = os.getenv("LISTRAK_CLIENT_SECRET")

listrak_api = listrak.Listrak(client_id, client_secret)Example showing how to get all lists associated with your account.lists = listrak_api.uri_list.get_all_lists()WorkingCONTACTLISTLISTIMPORTSEGMENTATIONFIELDSEGMENTATIONFIELDGROUPPlannedCAMPAIGN (N/A)CONVERSATION (N/A)CONVERSATIONMESSAGE (N/A)CONVERSATIONMESSAGEACTIVITY (N/A)CONVERSATIONMESSAGELINK (N/A)CONVERSATIONMESSAGELINKCLICKER (N/A)CONVERSATIONMESSAGESUMMARY (N/A)CONVERSATIONSUMMARY (N/A)EVENT (N/A)EVENTGROUP (N/A)FOLDER (N/A)IPPOOL (N/A)LISTIMPORTCONTACT (N/A)LISTIMPORTSTATUS (N/A)LISTIMPORTSUMMARY (N/A)MESSAGE (N/A)MESSAGEACTIVITY (N/A)MESSAGELINK (N/A)MESSAGELINKCLICKER (N/A)MESSAGESTATUS (N/A)MESSAGESUMMARY (N/A)SAVEDAUDIENCE (N/A)SAVEDMESSAGE (N/A)TRANSACTIONALMESSAGE (N/A)TRANSACTIONALMESSAGEACTIVITY (N/A)TRANSACTIONALMESSAGERESEND (N/A)
Package: list-reserve
list-reservePython builtin list memory allocation library.Getting itpipinstalllist_reservecapacityReturn allocated list memory size.fromlist_reserveimportcapacityl=[1,2,3]print(capacity(l))# 3reserveReserve list memory.fromlist_reserveimportreserve,capacityl=[]reserve(l,10)print(len(l))# 0print(capacity(l))# 10shrink_to_fitsince 0.1.0shrink to fit list capacity.fromlist_reserveimportcapacity,shrink_to_fitl=list(range(100))print(capacity(l))# 118shrink_to_fit(l)print(capacity(l))# 100LicenseMIT License
Package: listrology
Listrologyname is suggested by our good friend chatgpt
Listrology extends the functionality of listsInstallationpip install listrologyUsageListrology contains a subclass of list which provides a number of methods that are usefulfromlistrologyimportListassertList([1,2,3])==[1,2,3]Square bracket prefix is also supportedfromlistrologyimportListassertList[4,5,6]==[4,5,6]There is also a shorthand constructorfromlistrologyimportL,ListassertL[7,8,9]==List[7,8,9]==[7,8,9]Some methods includemylist=L[0,1,2,3,4,5,6]mylist.foreach(print)# prints all elements one by onemylist.reject(lambdax:x==2)# [0, 1, 3, 4, 5, 6]# copy elements mylist[5:7] and use it to overwrite elements starting at mylist[1]mylist.overwrite(target=1,start=5,end=7)# [0, 5, 6, 3, 4, 5, 6]mylist.first(lambdax:x%2==1)# 1 (first one that is odd)mylist.fill("yo",2,4)# [0, 1, "yo", "yo", 4, 5, 6]# each rotation the first element is put to last (inspired by Ruby)mylist.rotate(1)# [1, 2, 3, 4, 5, 6, 0]mylist.rotate(2)# [2, 3, 4, 5, 6, 0, 1]listrology's lists supports method chaining (each method produces a new instance)volcano_heights=L[412,399,276,591,482,451,521,529,521,426,511,426,426]# find all volcano heights that are 400m-525m tall and remove duplicates and sort thenresult=volcano_heights.filter(lambdax:400<=x<=525).unique().sort()# [412, 426, 451, 482, 511, 521]
Package: list-slice
List SlicerThis library has a function to split the data list into several small sectionsUsageUse the following code to split your list dataSplit List datafrom listslicer.slicer import Slicer

#My list data
data = [
    200, 1230, 15, 2200, 5550
]
#2 is amount to split
data_slice = Slicer.cut(data, 2)
print(data_slice)Result[[200, 1230], [15, 2200], [5550]]Example to split Dictionarydata = [
    {
        "foodname": "Ayam Bakar",
        "price": 12000
    }, 
    {
        "foodname": "Jus Mangga",
        "price": 7000
    },
    {
        "foodname": "Mie Goreng",
        "price": 9000
    },
    {
        "foodname": "Chicken Katsu",
        "price": 15000
    },
]
print(slicer.cut(data, 2))Result[
    [{'price': 12000, 'foodname': 'Ayam Bakar'}, {'price': 7000, 'foodname': 'Jus Mangga'}], 
    [{'price': 9000, 'foodname': 'Mie Goreng'}, {'price': 15000, 'foodname': 'Chicken Katsu'}]
]
Package: list-sponsors
list-sponsorsSummaryA CLI tool to list GitHub sponsors of a user/organization with specified format.Installationpip install list-sponsorsCommand helpusage: list-sponsors [-h] [-V] [--name GITHUB_LOGIN_NAME] [--token GITHUB_TOKEN] [--format {md,markdown,rst,restructuredtext,html}] [--avatar-size SIZE] [--debug | --quiet]

A CLI tool to list GitHub sponsors of a user/organization with specified format.

Require a GitHub personal access token either by
--token option or GITHUB_TOKEN environment variable.

optional arguments:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  --name GITHUB_LOGIN_NAME
                        login name of a GitHub user. if this option is not specified, use the login name of the GitHub personal access token.
  --token GITHUB_TOKEN  GitHub personal access token.
  --format {md,markdown,rst,restructuredtext,html}
                        defaults to markdown.
  --avatar-size SIZE    avatar size will be SIZExSIZE defaults to 48.
  --debug               for debug print.
  --quiet               suppress execution log messages.

Issue tracker: https://github.com/thombashi/list-sponsors/issuesUsageList your sponsors:export GITHUB_TOKEN=<PAT>
list-sponsorsOutput: raw[![onetime: Dmitry Belyaev (b4tman)](https://avatars.githubusercontent.com/u/3658062?s=48&v=4 "onetime: Dmitry Belyaev (b4tman)")](https://github.com/b4tman)
[![Charles Becker (chasbecker)](https://avatars.githubusercontent.com/u/44389260?s=48&u=6da7176e51ae2654bcfd22564772ef8a3bb22318&v=4 "Charles Becker (chasbecker)")](https://github.com/chasbecker)
[![onetime: Arturi0](https://avatars.githubusercontent.com/u/46711571?s=48&u=57687c0e02d5d6e8eeaf9177f7b7af4c9f275eb5&v=4 "onetime: Arturi0")](https://github.com/Arturi0)Output: renderedDependenciesPython 3.7+Python package dependencies (automatically installed)
Package: listthedocs
List The DocsList The Docs allows to collect the documentation of projects hosted in
different servers in the same page.See full documentation athttps://allebacco.github.io/listthedocs/.List The Docs does not (actually) provides documentation hosting, but it
offer only a web page with a nice list of project and documentation links.This work has been started fromHost the Docs,
but has lead to a complete rewrite of the code and the aim of the project.The project is written in Python using Flask.Start the serverSince List The Docs is writte using Flask it can be execute with the follwing
commands:export FLASK_APP=listthedocs
flask run
* Running on http://127.0.0.1:5000/For Windows commandline use:set FLASK_APP=listthedocsAnd for Windows Powershell use:$env:FLASK_APP="listthedocs"ConfigurationThe service can be configured with a Python fileconfig.pythat can be placed in the app
"instance_path" (https://flask.palletsprojects.com/en/1.0.x/config/#instance-folders).Theinstance_pathcan be customized by setting theINSTANCE_PATHto an absolute path.The configuration is loaded from theconfig.pyin theinstance_path:DATABASE_URI: Database connection URI. Default to an SQLite database.COPYRIGHT: The copyright footer message. HTML is allowed.TITLE: The title of the web pages.HEADER: The header of the web page. HTML is allowed.READONLY: Set to true to disable the write REST APIs.LOGIN_DISABLED: Disable the login and security.ROOT_API_KEY: The Api-Key for therootuser. DefaultROOT-API-KEY.UsageThe service provides a set of REST APIs to manage projects and versions.Build and Host documentationBefore using the APIs, you should build the documentation (e.g. with Sphinx, MkDocs,
Doxygen, ...) and host it on a web server. List The Docs does not actuallt provides
docuemntation hosting services.Collect documentations in List The DocsAfter deploying a (new) project documentation on a hosting service, you can visualize
it in List The Docs:Add the project (if not already present)Add the version to the projectAdd a project to List The DocsAdding a project to List The Docs can be done using the following REST API:importrequestsresponse=requests.post('http://localhost:5000/api/v1/projects',json={'title':'Project Title','description':'The description of the project',})# The response contains the `name` of the projectAdd a documentation version link to List The DocsAdding a version for a project documentation to List The Docs can be done
using the following REST API:importrequestsrequests.post('http://localhost:5000/api/v1/projects/<project-name>/versions',json={'name':'1.0.0','url':'http://www.example.com/doc/1.0.0/index.html',})Python ClientTo simplify the management of the projects, List The Docs provides a
simple Python client:fromlistthedocs.clientimportListTheDocs,Project,Versionclient=ListTheDocs()project=client.add_project(Project(title='Project Title',description='description'))client.add_version(project,Version('1.0.0','http://www.example.com/doc/1.0.0/index.html'))
Package: list-tools
List toolsVarious helpers for lists.RequirementsPython: >=3.5Installationpython-mpipinstalllist_toolsCurrent functionschunkSplit list into chunks by size you provide.Example:fromlist_toolsimportchunkitems=['foo','bar','baz']forpartinchunk(items,2):print(part)# ['foo', 'bar'] <- first iteration# ['baz']        <- second iteration
Package: list-to-tabs
Konsole Tabs From File CreatorTake a newline delimited list and create a "Konsole --tabs-from-file" fileExplore the docs » (There are none)View Demo (There isn't one)·Report Bug·Request FeatureTable of ContentsAbout The ProjectBuilt WithGetting StartedInstallationUsageRoadmapContributingLicenseContactAcknowledgmentsAbout The Project(back to top)Built With(back to top)Getting StartedInstallationThis is an example of how to list things you need to use the software and how to install them.pypipip3installlist-to-tabs

or

python3-mpipinstalllist-to-tabs(back to top)UsageRun"list-to-tabs"fromthecliwithoption"-h"forHelp

orRun"list-to-tabs"withoutandargumentstoseenarrowusage:

usage:list_to_tabs[-h][-bBATCH][-nNAME]srcdest
list_to_tabs:error:thefollowingargumentsarerequired:src,destFor more examples, please refer to theDocumentation(back to top)RoadmapFeature 1 - Printing and selecting source files base on a supplied directoryFeature 2 - Insertion of different command structures inplace of typical "ssh"See theopen issuesfor a full list of proposed features (and known issues).(back to top)ContributingContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make aregreatly appreciated.If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!Fork the ProjectCreate your Feature Branch (git checkout -b feature/AmazingFeature)Com your Changes (git commit -m 'Add some AmazingFeature')Push to the Branch (git push origin feature/AmazingFeature)Open a Pull Request(back to top)LicenseDistributed under the GPL License(back to top)ContactProject Link:https://github.com/jackpots28/list_to_konsole-tabs(back to top)Acknowledgments(back to top)
Package: listupy
listupy下の方に日本語の説明がありますListupy DocumentationIntroductionListupy is a command-line Python tool that allows you to recursively enumerate Python files within a directory, compute the total number of lines in those files, and consolidate the results into a single markdown file. The name "Listupy" is a portmanteau of "listup" and "python," and is pronounced as "list-a-pie."InstallationTo install Listupy, use the following pip command:pipinstalllistupyUsageYou can use Listupy from the command line using thelistupycommand. Below is an example:listupy-i/path/to/directory-o/path/to/output.mdThe-iargument requires the directory path to be scanned. The-oargument, which is optional, is used to specify the output markdown file path. If the-oargument is not provided, the output will be saved as./listup_result.mdby default.Code ExplanationListupy is primarily composed of four functions:r_listup,line_n,listup, andconsole_command.r_listup(dir_name)is a recursive function that lists all python files in a directory.line_n(file_ls)calculates the total number of lines from a list of files.listup(dir_name)lists all python files in a directory, computes the total line count, and generates a markdown-formatted string.console_command()handles command-line arguments and orchestrates the listup process.NotesEnsure that the directory you're scanning doesn't contain large numbers of Python files, as this could significantly slow down the performance of Listupy.ListupyドキュメンテーションはじめにListupyはコマンドラインから利用できるPythonツールで、ディレクトリ内のPythonファイルを再帰的に列挙し、それらのファイルの行数の合計を計算し、結果を1つのmarkdownファイルにまとめます。"Listupy"という名前は"listup"と"python"の合成語で、「リストアッパイ」と読みます。インストールListupyのインストールは以下のpipコマンドで行うことができます：pipinstalllistupy使用方法コマンドラインからlistupyコマンドを使ってListupyを使用できます。以下に使用例を示します：listupy-i/path/to/directory-o/path/to/output.md-i引数にはスキャンするディレクトリのパスを指定します。-o引数はオプションで、出力markdownファイルのパスを指定します。-o引数が指定されていない場合、出力はデフォルトで./listup_result.mdとして保存されます。コードの説明Listupyは主に4つの関数で構成されています：r_listup、line_n、listup、そしてconsole_command。r_listup(dir_name)はディレクトリ内の全てのPythonファイルを列挙する再帰関数です。line_n(file_ls)はファイルのリストから行数の合計を計算します。listup(dir_name)はディレクトリ内の全てのPythonファイルを列挙し、行数の合計を計算し、markdown形式の文字列を生成します。console_command()はコマンドライン引数を処理し、リストアッププロセスを調整します。注意点スキャンするディレクトリが大量のPythonファイルを含んでいないことを確認してください。大量のファイルがあるとListupyのパフォーマンスが大幅に低下する可能性があります。
Package: list-vpc-sc-supported-services
Google List VPC SC supported servicesScrapes the web pagehttps://cloud.google.com/vpc-service-controls/docs/supported-products. This page
describes which Google Cloud Platform services support VPC SC and at which support level: ga, beta or preview.The utility prints out a Terraform style dictionary of string lists. The key is the status of the service in lowercase, the value
an array of service names in that status. For example:list-vpc-sc-supported-services{beta=["adsdatahub.googleapis.com","cloudbuild.googleapis.com",..."lifesciences.googleapis.com","transcoder.googleapis.com",]ga=["accessapproval.googleapis.com","aiplatform.googleapis.com",..."vpcaccess.googleapis.com",]preview=["networkmanagement.googleapis.com",...]}updating Hashicorp templateYou can programmatically update this template. If you have a variablevpc_sc_servicesin HCL:locals{vpc_sc_services={}}installhcleditand type:hcledit attributes set locals.vpc_sc_services \
         "$(list-vpc-sc-supported-services)" \
         --file locals.tf \
         --updateCaveatsIt is a scraper, so your milage may vary. We are looking forward to a proper API.
Package: listwalker
listwalkerA tool for traversing multi-dimensional lists in Python.Installationpipinstall--upgradelistwalkerExamplesfromlistwalkerimportListWalker2Dwalker2D=ListWalker2D[int]([[1,2,3,4,5],[6,7,8,9,10],[11,12,13,14,15],[16,17,18,19,20],[21,22,23,24,25],[26,27,28,29,30]])# The cursor is at 1walker2D.walk_down()# The cursor is at 6walker2D.walk_down()# The cursor is at 11walker2D.walk_down()# The cursor is at 16walker2D.walk_right()# The cursor is at 17print(walker2D.cursor_element.value)# -> 17print(walker2D.get_neighbors())# {# 	'up': ListWalkerElement(12),# 	'right': ListWalkerElement(18),# 	'down': ListWalkerElement(22),# 	'left': ListWalkerElement(16)# }walker2D.print()# +---+----+--------+----+----+----+# |   | 0  |   1    | 2  | 3  | 4  |# +---+----+--------+----+----+----+# | 0 | 1  |   2    | 3  | 4  | 5  |# | 1 | 6  |   7    | 8  | 9  | 10 |# | 2 | 11 |   12   | 13 | 14 | 15 |# | 3 | 16 | > 17 < | 18 | 19 | 20 |# | 4 | 21 |   22   | 23 | 24 | 25 |# | 5 | 26 |   27   | 28 | 29 | 30 |# +---+----+--------+----+----+----+
Package: listwise
ListWise - Python REST API Wrapper for ListWise email validation.In order to use all of the features of this package you must have an active subscription with listwisehq.https://www.listwisehq.com/email-address-cleaner/index.phpThis packaged was developed during my employment with Kennedy Marketing Group.
Thanks to them for giving me permission to open-source this.listwise enables users to easily clean email addresses via the ListWise REST API.Connecting to the APIlistw = listwise.ListWise(“C:/listwise_data.db”, username, api_key)One-off email validationemail =‘zekebarge@gmail.com’deep_cleaned = listw.deep_clean_one(email)quick_cleaned = listw.quick_clean_one(email)listw.db.con.commit() #To commit your updates to the databaseBulk e-mail validation using Pandasimport pandas as pddf = pd.read_csv(“C:/path/to/file.csv”)#All updates are automatically committed to SQLite.deep_cleaned_df = listw.deep_clean_frame(df)quick_cleaned_df = listw.quick_clean_frame(df)
Package: lit
Aboutlitis a portable tool for executing LLVM and Clang style test suites,
summarizing their results, and providing indication of failures.litis
designed to be a lightweight testing tool with as simple a user interface as
possible.FeaturesPortable!Flexible test discovery.Parallel test execution.Support for multiple test formats and test suite designs.DocumentationThe officiallitdocumentation is in the man page, available online at the LLVM
Command Guide:http://llvm.org/cmds/lit.html.SourceThelitsource is available as part of LLVM, in the LLVM source repository:https://github.com/llvm/llvm-project/tree/main/llvm/utils/litContributing to litPlease browse the issues labeledtools:llvm-litin LLVM’s issue tracker for
ideas on what to work on:https://github.com/llvm/llvm-project/labels/tools%3Allvm-litBefore submitting patches, run the test suite to ensure nothing has regressed:# From within your LLVM source directory.
utils/lit/lit.py \
    --path /path/to/your/llvm/build/bin \
    utils/lit/testsNote that lit’s tests depend onnotandFileCheck, LLVM utilities.
You will need to have built LLVM tools in order to run lit’s test suite
successfully.You’ll also want to confirm that lit continues to work when testing LLVM.
Follow the instructions inhttp://llvm.org/docs/TestingGuide.htmlto run the
regression test suite:make check-llvmAnd be sure to run the llvm-lit wrapper script as well:/path/to/your/llvm/build/bin/llvm-lit utils/lit/testsFinally, make sure lit works when installed via setuptools:python utils/lit/setup.py install
lit –path /path/to/your/llvm/build/bin utils/lit/tests
Package: litbee
litbeelitbee (currently with ezbee, dzbee and debee), made with streamlitPre-installPython 3.8 onlypyicu,pycld2andfasttext: refer todebee's pre-installhttps://github.com/ffreemt/debee/blob/main/README.mdInstall itvia pippipinstalllitbee
python-mlitbeeOr via git clonegitclonehttps://github.com/ffreemt/litbeecdlitbee
pipinstall-rrequirements.txt# or poetry installUse itpython-mlitbee# or git clone and python -m streamlit run app.py# or streamlit run app.py
Package: litchain
LitChainSimple wrapper around openai's client.chat.completions.create.
To simplify function/tool calling.openai docsThis repo takes some inspiration fromlangchain. But does not use it.We think that, inlangchain,
it's fast changes make it a good forum to be aware of the most recent advances and methods in llm usage.
But that is unstable, unnecessary complex, sometimes redundant, and makes you loss control over your code and prompts.
And that using a simple prompt and an external library is enough for a lot of cases.
So we don't want to use it in production.UsageMain operatorfromlitchainimportLlmBaseModel,tool@tooldefget_current_weather(location,unit="fahrenheit"):"""Get the current weather in a given location."""[...]model=LlmBaseModel(system="GPT assistant",prompt_template="What's the weather in{city}?",tools=[get_current_weather],tool_choice="get_weather")prompt=model.get_prompt(city="San Francisco")model.predict_sample(prompt=prompt)For full code, check examples/hello_worldExamplesRun/examples/mail_classifier/mail_classifier.py--email"I want to buy a car"for a simple example.List of examples:hello_world.py: A simple example using get_current_weather func from openai docs.mail_classifier.py: A simple example of a mail classifier.movie_trivia_autogpt.py: A simple example of a movie trivia generator using sequential llm calls.SetupInstalationpipinstalllitchainor from sourcepipinstall-rrequirements.txt
pipinstall-e.Env variablesYou will need to set the following env variables:OPENAI_API_KEY: Your openai api key.AuthorsIuiu
Package: litchat
LitChat 🔥LitChat is an AI powered tool that employs OpenAI's gpt-3.5-turbo-16k model and llamaindex vector database to interact with a literature corpus. It answers questions and writes reviews based on the literature data it interacts with. It comes with a user-friendly chat interface and the ability to configure custom literature datasets. Users can also provide a flexible literature review template that will be populated by LitChat.Table of ContentsFeaturesInstallationUsageContributingLicenseFeaturesGPT-3.5-turbo-16k powered:LitChat uses OpenAI's advanced language model for high quality responses.llamaindex integration:Utilises a vector database to query literature for the most relevant context.Chat Interface:LitChat offers an intuitive chat interface, making it easy for users to interact with the system.Customizable Literature Datasets:LitChat can be configured to use custom literature datasets.Literature Review Generation:Provides a flexible template system for literature review generation.InstallationTo get LitChat up and running on your local machine, follow these steps:Clone the repository:gitclonehttps://github.com/yourusername/LitChat.gitNavigate into the cloned directory:cdLitChatInstall the dependencies:pipinstall-rrequirements.txtAdd environment variables:You will need to get your own API keys for OpenAI and llamaindex. Once you have them, add them to a.envfile:echo"OPENAI_API_KEY=your_key_here">>.envecho"LLAMAINDEX_API_KEY=your_key_here">>.envRun LitChat:pythonmain.pyUsageTo interact with LitChat, simply input your question or prompt into the chat interface. If you want to generate a literature review, provide the template in the correct format.For detailed instructions, please refer to theUser Guide.ContributingContributions to LitChat are welcomed! If you found a bug, have an idea for a feature, or think you can improve the code, we'd love to know. Please refer to theContributing Guidefor more information.LicenseLitChat is licensed under theMIT license.AcknowledgementsLitChat would not be possible without the amazing work by the OpenAI and llamaindex teams. This project is not affiliated with OpenAI or llamaindex.SupportFor any issues, please contactLitChat Support.
Package: litchi-web
LitchiLitchi,a framework to build website with only python.介绍Litchi，可以让您在丝毫不写html、js、css的情况下，只用python代码，轻松编写动态网页。与Illumine结合时，您可以使用Litchi的静态页面生成功能，愉快地编写网页。就算您是开发纯静态前端页面的开发者，用Litchi，您能有一种新的开发方式，又有什么损失呢？Litchi受到Kivy的深度影响，并使用Flask驱动安装现在您可以通过pipinstalllitchi-web来安装Pypi数据更新增加Brython支持增加Session支持（测试）实例fromlitchi.appimportAppfromlitchi.uix.buttonimportButtonclassIndexApp(App):defpress(self):return"Oh,do not press me!!"defbuild(self):self.button=Button(text="Hello,litchi!",on_pressed=self.press,id="Button1")IndexApp().run(model='server')技术jQuery ajax() 方法jQuery AJAX 方法 jQuery AJAX 方法实例使用 AJAX 请求改变元素的文本：$("button").click(function(){$.ajax({url:"demo_test.txt",success:function(result){$("#div1").html(result);}});});定义和用法
ajax() 方法用于执行 AJAX（异步 HTTP）请求。所有的 jQuery AJAX 方法都使用 ajax() 方法。该方法通常用于其他方法不能完成的请求。语法
$.ajax({name:value, name:value, ... })
该参数规定 AJAX 请求的一个或多个名称/值对。