Saravanan666/pypi-org huggingface dataset:
Package: yahoofinance
Yahoo Finance Data for PythonPython module to get data readily available from Yahoo Finance. The data is retrieved directly from the website with no data changes.Warning: This package is undergoing development and implementation and interfaces may change drastically without notice.Note: There is no guarantee that the data provided in this library is correct. Use at your own risk.InstallationYou can install the library using:pip install yahoofinanceNote: There are a few packages with a similar name, make sure you type the right package name -yahoofinanceUsageTo export the Profile data to CSV, it is simple!If we are looking to exportApple's Asset Profilewe can do the following:>>> import yahoofinance as yf
>>> profile = yf.AssetProfile('AAPL')
>>> profile.to_csv('AAPL-profile.csv')You can now find the profile information in a CSV file calledAAPL-profile.csv.Next steps include exporting other to a Pandas Dataframe, which would be the main reason why this project exists!Optional UsageWe can add in a locale to choose a specific region to query from. For example, from Australia, we can query from the Australian Yahoo Finance website to getmarginallyfaster query times. Using the Asset Profile example previously:>>> import yahoofinance as yf
>>> profile = yd.AssetProfile('AAPL', locale=Locale.AU)
>>> profile.to_csv('AAPL-profile.csv')Current locales include:Locale.AU(Australia)Locale.CA(Canada)Locale.US(United States)Example Use CaseYou can find an example use case in the following Google Colab notebook:https://colab.research.google.com/drive/1n5L2NVkRZuYUi_RaC54JsJN79Dq5wnEbDocumentationYou can find the documentation here:https://python-yahoofinance.readthedocs.ioFAQsWhy did you make this?I felt that financial data information is often restricted.Can you make custom data manipulation filters to make the data more tailored to my use?I do not intend to. My ethos is to enable financial data users to retrieve the data and use it their own way. I do not want to steal the data provided and make my own flavour.What happens when their website data changes and/or this project breaks?Let me know with a feature request and I'll do my best to fix it. Or even better, fork and make a pull request!I want to contribute to this amazing project!Fork and make a pull request!I like you, I want to support you financially.I don't have a support link yet (because this project just started), but if enough people are interested, I'll set one up someday.
Package: yahoo-finance-api2
Yahoo Finance APIMinimal API to interact with Yahoo Finance.Installationpip install yahoo_finance_api2UsageThe following example retrieves 10 days of 5 minute frequency Microsoft (MSFT) stock data.import sys
from yahoo_finance_api2 import share
from yahoo_finance_api2.exceptions import YahooFinanceError

my_share = share.Share('MSFT')
symbol_data = None

try:
    symbol_data = my_share.get_historical(share.PERIOD_TYPE_DAY,
                                          10,
                                          share.FREQUENCY_TYPE_MINUTE,
                                          5)
except YahooFinanceError as e:
    print(e.message)
    sys.exit(1)

print(symbol_data)The output format:{
  'timestamp': [...],
  'open': [...],
  'high': [...],
  'low': [...],
  'close': [...],
  'adj_close': [...],
  'volume': [...]
}APIClassShare:get_historical(period_type, period, frequency_type, frequency)Returns historical data for the given period type (share.PERIOD_TYPE_DAY,share.PERIOD_TYPE_WEEK,share.PERIOD_TYPE_MONTH,share.PERIOD_TYPE_YEAR), period (1, 5, 10, etc.), frequency_type (share.FREQUENCY_TYPE_MINUTE,share.FREQUENCY_TYPE_DAY,share.FREQUENCY_TYPE_MONTH,share.FREQUENCY_TYPE_YEAR), and frequency (1, 5, 10, etc.). Only certain combinations of these parameters are allowed.
Package: yahoo-finance-data
yahoo-finance-data  (Alpha-version)The omnipotent Yahoo-Finance data retreiveryahoo-finance-data (yfd) is a package for the retreival of data from Yahoo Finance. It makes use of both scraping and query calls. The yahoo-finance-data package is intended to be simple to use. Its usage is summarized in two steps.Create specialized data retreival objectsRetreive data in a standardized dictionary formatFeaturesThe asset classes currently supported are: Stocks.
In the future support will be added for Options, Bonds and Crypto.Data TypesThe following data may be retreived.QuoteHistorical (price, dividends, splits)FinancialsCash-Flow statementBalance-Sheet statementKey-StatisticsInstallationpipinstallyahoo-finance-dataUsageRetreival of time series data (YahooFinanceTimeSeriesByQueryScraper).
-Availabe function types: ['quote', 'dividends', 'splits']
-Available frequency types: ['1d', '5d', '1mo', '3mo', '6mo', '1y', '2y', '5y', '10y', 'ytd', 'max']from datetime import datetime
from yfd import YahooFinanceTimeSeriesByQueryScraper

ticker = 'AAPL'
startDate = datetime.strptime('2020-01-01', '%Y-%m-%d')
endDate = datetime.strptime('2021-04-01', '%Y-%m-%d')

ysfds = YahooFinanceTimeSeriesByQueryScraper(ticker, function = 'quote', startTime = startDate, endTime = endDate, frequency = '1d')
ysfds.GetData()
resultAsDictionary = ysfds.GetResult()Quote scraper (YahooQuoteInfoScraper)
-Scrapes quote information: Name, exchange and price.from yfd import YahooQuoteInfoScraper

ticker = 'AAPL'

yqis = YahooQuoteInfoScraper(ticker, function='quote')
yqis.GetData()
resultAsDictionary = yqis.GetResult()Financials scraper (YahooFinanceStaticFinancialDataScraper)
-Scrapes financial data, the available data retreival types are: ['cash-flow', 'balance-sheet', 'financials', 'key-statistics']from yfd import YahooFinanceStaticFinancialDataScraper

ticker = 'AAPL'

ysfds = YahooFinanceStaticFinancialDataScraper(ticker = ticker, yahooFunction = 'financials')
ysfds.GetData()
resultAsDictionary = ysfds.GetResult()Dependenciesyahoo-finance-data uses a number of 3rd party projects:[certifi] - Validating the trustworthiness of SSL certificates.[urllib3] - A powerful, user-friendly HTTP client for Python.[beautifulsoup4] - A library which makes it easy to scrape information from web pages.[datetime] - Standardize time management.yahoo-finance-data is itself an open source project with apublic repositoryon GitHub.LicenseMIT*Free Software
Package: yahoo-finance-hdd
Yahoo Finance Historical Data DownloaderDownload historical price, dividends and stock splits data from yahoo finance in python.Current Version: v_0.2.1Version Released: 2019-08-17Report any bugs by opening an issue here:https://github.com/sdiz/yahoo_finance_hdd/issuesInstallationThis module runs on python >= 3.3. It might run on other version, but has not been tested.Dependencies: numpy, pandas, requests, pandas_market_calendars.Installation using pip:$pipinstallyahoo_finance_hddInstallation using github:$gitclonehttps://github.com/sdiz/yahoo_finance_hdd.git
$cdyahoo_finance_hdd
$pythonsetup.pyinstallUsageThe data from all methods is returned as a pandas dataframe.Create a parameters object to define all necessary input parametersstart :  the start date of the data series ('yyyy-mm-dd').end : the end date of the data series ('yyyy-mm-dd').tickers : single tickers can be passed as a string. Multiple tickers
have to be passed as a list e.g ['IBM', 'AAPL'].interval : specify the frequency of the data series.'d' = daily'w' = weekly'm' = monthlyexchange : the exchange to obtain the dates for the data series (default NYSE)available exchanges are: ['BMF', 'CFE', 'CME', 'CBOT', 'COMEX', 'NYMEX', 'EUREX', 'ICE', 'ICEUS', 'NYFE', 'JPX', 'LSE', 'NYSE', 'stock', 'NASDAQ', 'BATS', 'OSE', 'SIX', 'TSX', 'TSXV', 'SSE', 'HKEX']columns : a list of strings specifying the data columns to be returned.['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume']Available methodsget_history(params) : download historical financial price data from yahoo finance.get_dividends(params) : download historical dividend data from yahoo finance.get_splits(params) : download historical data for stock splits from yahoo finance.Examplesfromyahoo_finance_hddimportYahooFinance,Parameters# create parameter objectparams=Parameters(start='2010-12-01',end='2019-08-20',tickers=['AAPL','VZ','JPM'],interval='w',exchange='NYSE',columns=['Open','Close'])# e.g change interval to dailyparams.interval='d'# create new yahoo finance instanceyf=YahooFinance()# download historical financial price dataprice_df=yf.get_history(params)# download historical dividends datadividends_df=yf.get_dividends(params)# download historical stock splits datasplits_df=yf.get_splits(params)Returned DataAuthorsSerkan Dizbay-https://github.com/sdizLicenseThis project is licensed under the MIT License - see theLICENSE.txtfile for details
Package: yahoo-finance-pynterface
Yahoo Finance Python Interfaceyahoo-finance-pynterfaceis a Python package that provides a new interface to the Yahoo Finance API.MotivationYahoo Financeis by far the most popular (and free!) resource for financial data.Many packages have been distributed to provide access to such a resource in the recent past.However, most of such projects were aiming at filling the gap that the changes made in May, 2017 by the Yahoo Team left behind.yahoo-finance-pynterfacehas been intended to provide a completely new interface to Yahoo Finance,and it is meant to offer effective methods to interact with its API.Aboutyahoo-finance-pynterfacemakes an extensive use ofpandas.As a consequence, most of the data retrieved are returned aspandas.DataFrameobjects.Even if a stable release is available, the project has yet to be considered "complete" and many other features has yet to come!
Please, drop me an email if any comment/suggestion/remark pops up in your mind :)Requirementsyahoo-finance-pynterfaceis currently working onPython >= 3.5only.Any help to add support forPython == 2.xis welcome and encouraged as well as very much appreciated!Furthermore, the following packages are required:requests >= 2.19.1pandas >= 0.23.4numpy >= 1.15.1pytz >= 2018.5dateutil >= 2.7.3aenum >= 2.1.2InstallationUsepipto installyahoo_finance_pynterface:pipinstallyahoo-finance-pynterfaceDocumentationFor a quick reference, navigate to theWiki Page.And do not forget to check theexamples!Change LogSeptember 12, 2018Version 1.0.4Fixed modules importedSeptember 07, 2018Version 1.0.2Fixed type hintsAugust 31, 2018Version 1.0.1First stable releaseThanksSeriously, thanks!-- andrea-dm
Package: yahoo-oauth
Yahoo_OAuth is a very easy to use OAuth python library for Yahoo! APIs.Installationpipinstallyahoo_oauthQuickstartWether you useOAuth1orOAuth2, only2parameters are
required.*consumer*key_*consumer*secret_I recommend putting those two into a file. Only*json*and*yaml*files are
supported{"consumer_key":"my_very_long_and_weird_consumer_key","consumer_secret":"my_not_that_long_consumer_secret"}Once you acquired your access_token, this file will look like :OAuth1{"access_token":"A=5ZnN5xXY5yKacQp1QtUF68MlEmXVIF8fRplkc7W1QMVYeLJ2DdBmNyH7SxVgUbAjdv5edCnk_DEUbfr6GpqezsSAuE9h36wfh.J45twIo1sA.bqMk7Bta6IisI9z1_h8D0QZzWYmjybxlQcuNgd7TY4nJuu_Afj_8ED787BQbjg6OqRotV.eM4_YyBCjP1K8G6rG44iX2PGNj.JSEJrocgvglABkTTVA_8t.JoLH7NHSgxCQXhakBsk3_K.6Rkgm_Nkc7.ZD02pYy3dJAfBh1fFvtrCwIOqDIplri305dZ1UY430X6SfPnZIFJNiTWkMH8_QRhcnfizG5TZugN_.0ib2VnnUzspeFT0_86p6WMP3uFOLYXspdEOryhSJwFJ3AHZN9n.t8euRQOxanpsvw5M5ffBs6P0dI5FijGw3fibbqoheJOSUE_BRUNEL_KOUKAJSsJCH(^_^)JHllHmJUptK9k5ifiqJOpTbodnW8EsyyNhthDOusv5Bp6142mvCPnC7HX7PkTodHqfgVyAUOvOqSsqMGyc65OY8roLORKpUWObw9bjd8YsU40jwSaGZtWmvVhYV9RxUA779bRuE1k0BL_fvXQ_tlZnxPhtIFBB64szQ9AwA9HT_nZKq8q1rOfUcBIZJ7Zu1jwpZUAOkHsfmHWCW2gK8BC4wjk0WuJg95FpZ2z741mhRcdma2bVYpdh3k2DdaBVYRTDT36Q4SBtreb_GNi1Mctg.RhSqopCTTvW4jjXAkt2SHnscUi37v0yo4JVex0cnVmVTFL7TRl1JMLl9jt0XmaLaKuS4nhR4A--","access_token_secret":"99a20a82e99THE_A_Tf803cb153f3d98","consumer_key":"dj0yJmk9e_THIS_IS_THE_CK_RGTnpZbWNHbzlNQS0tJnM9Y29uc3VtZXJzZWNyZXQmeD1iNQ--","consumer_secret":"08802b459abTHIS_IS_THE_CS4b75789f7","session_handle":"APIENFXij.bjFW_MY_SESSION_EXn.4.DOIYOR37","token_time":1433546792.343515}OAuth2{"access_token":"DELvMgOYvwPQJS8eFW_2hRN5rJxz6dnHAOk2s.qB0iMIeRg5.ZpW3xZF0p8CABLjZ2gfNdE602dCN2wTHdGHHLtChF3ls9BUuZ1QDdqIVq.yWclfweleyZSq6dAzlPEHiskWmfItjHK5VERY_LONG_ACCESS_TOKEN_oyyD4cIKvdNJsJ9k779mAUqN02_5ugBeDfCLebqjL8uVuunObew0ERa2MxE6jywNY0TTCe9W0nqTd6n0lKoN4PSP1Dw_Ifwx6enGuhUUAhhpa7nNMyhNy_pe6PfDf7IJ5gbkdtw3mD1o2T218ZTV0owdrKDLSF9oZrNvZ75xDlqaaI5yeW_.L63zk11PjsWUd5K8LGhWSTgRbyhffCDBcqVwTYEqHwCyVqHX4z2kgHhGsc0ies6WMG33kSw5Cgun0fnPbdDuHBgQziXU.GMv4hIDoIDMSLGpzpcpkyx4GS1CC_RUQwKxLilR3MQy7X2gI3cJA4lhRPlXEOdhS5HIQiQTgMWO9nWt7.RR7XtXVg-","consumer_key":"dj0yJmk9eFJINERDYWMY_CONSUMER_KEYmRGTnpZbWNHbzlNQS0tJnM9Y29uc3VtZXJzZWNyZXQmeD1iNQ--","consumer_secret":"08802b459ab48eeaMY_CONSUMER_SECRET_0af6a4b75789f7","refresh_token":"APIENFXij.bjFW1tEcr2THE_REFRESH_TOKEN_Xn.4.DOIYOR37","token_time":1433553339.706037,"token_type":"bearer"}With that you should be good to go.Normally, once your got all that, you can*use the same credentials
FOREVER*, you just have to*REFRESH THEM*.OAuth1fromyahoo_oauthimportOAuth1oauth=OAuth1(None,None,from_file='oauth1.json')...ifnotoauth.token_is_valid():oauth.refresh_access_token()# Exampleresponse=oauth.session.post(url,data=body)OAuth2fromyahoo_oauthimportOAuth2oauth=OAuth2(None,None,from_file='oauth2.json')...ifnotoauth.token_is_valid():oauth.refresh_access_token()# Exampleresponse=oauth.session.get(url,params=payload)
Package: yahoo-panoptes
PanoptesA Global-Scale Network Telemetry EcosystemTry It!Try out Panoptes in aDocker container. Detailed documentation ishere.Table of ContentsIntroductionArchitectureConceptsInstallContributeLicenseIntroductionPanoptes is a Python based network telemetry ecosystem that implements discovery, enrichment and polling. Key features include:A modular design with well defined separation of concerns,Plugin architecture that enables the implementation of any telemetry collection, enrichment, or transformation,Horizontally scalable: supports clustering to add more capacity, andNetwork telemetry specific constructs like SNMP abstractions, built in counter to gauge conversion.ArchitectureConceptsPanoptes is built on many primitives like sites, resources, metrics and enrichments which are collected through discovery and polling.Here isa document providing an overview of these concepts.InstallIf you'd like to try out Panoptes without committing to a full install, checkout out theDocker container.Please follow the instructionshereto download and install Panoptes.ContributeWe welcome issues, questions, and pull requests. Please read thecontributing guidelines.MaintainersVarun Varma:vvarun@verizonmedia.comVivekanand AM:viveka@verizonmedia.comIan Holmes:iholmes@verizonmedia.comJames Diss:rexfury@verizonmedia.comNathan Kamm:nathan.kamm@verizonmedia.comLicenseThis project is licensed under the terms of the Apache 2.0 open source license. Please refer toLICENSEfor the full terms.
Package: yahoo-panoptes-snmp
Panoptes SNMPA Python wrapper on Net-SNMPTable of ContentsIntroductionBackgroundInstallUsageLicenseCreditsIntroductionThis library, which is a fork of the excellentEasySNMP library, provides a Pythonic wrapper
on top ofNet-SNMPC library.BackgroundThe key differences from the upstream library are:Includes Net-SNMP source code which is used to build shared objects during installation leading to self contained distributionsLocks down options for the Net-SNMP library: for example, SNMPv1 is and applications are disabledNo MIBs are include in the distribution - this is by design since using symbolic OIDs is slowA Python based implementation of bulk_walkFix support for tunneled SNMP connectionsInstallInstall by running the following commands:pip install yahoo_panoptes_snmpUsageThe API is similar to that of EasySNMP, which isdocumented herebulk_walkThe implementation of BULKWALK is based on doing BULKGETs and using 'falling out' of the OID tree to terminate.The method signature is as follows:defbulk_walk(self,oids,non_repeaters=0,max_repetitions=10):"""Performs a series of bulk SNMP GET operation using the prepared session toretrieve multiple pieces of information in a single packet.:param oids: you may pass in a list of OIDs or single item; each itemmay be a string representing the entire OID(e.g. 'sysDescr.0') or may be a tuple containing thename as its first item and index as its second(e.g. ('sysDescr', 0)):param non_repeaters: the number of objects that are only expected toreturn a single GETNEXT instance, not multipleinstances:param max_repetitions: the number of objects that should be returnedfor all the repeating OIDs:return: a list of SNMPVariable objects containing the values thatwere retrieved via SNMP"""ContributeWe welcome issues, questions, and pull requests - please have a look atcontributingto see how to do so.MaintainersVarun Varma:vvarun@oath.comLicenseThis project is licensed under the terms of theBSDopen source license. Please refer toLICENSEfor the full terms.CreditsPlease refer to theCREDITS filefor a full list of credits.
Package: yahooquery
Python wrapper for an unofficial Yahoo Finance APIDocumentation:https://yahooquery.dpguthrie.comInteractive Demo:https://yahooquery.streamlit.app/Source Code:https://github.com/dpguthrie/yahooqueryBlog Post:https://towardsdatascience.com/the-unofficial-yahoo-finance-api-32dcf5d53dfOverviewYahooquery is a python interface to unofficial Yahoo Finance API endpoints. The package allows a user to retrieve nearly all the data visible via the Yahoo Finance front-end.Some features of yahooquery:Fast: Data is retrieved through API endpoints instead of web scraping. Additionally, asynchronous requests can be utilized with simple configurationSimple: Data for multiple symbols can be retrieved with simple one-linersUser-friendly: Pandas Dataframes are utilized where appropriatePremium: Yahoo Finance premium subscribers are able to retrieve data available through their subscriptionRequirementsPython 2.7, 3.5+Pandas- Fast, powerful, flexible and easy to use open source data analysis and manipulation toolRequests- The elegant and simple HTTP library for Python, built for human beings.Requests-Futures- Asynchronous Python HTTP Requests for HumansYahoo Finance Premium SubscribersSelenium- Web browser automationSelenium is only utilized to login to Yahoo, which is done when the user passes certain keyword arguments. Logging into Yahoo enables users who are subscribers to Yahoo Finance Premium to retrieve data only accessible to premium subscribers.InstallationIf you're a Yahoo Finance premium subscriber and would like to retrieve data available through your subscription, do the following:pipinstallyahooquery[premium]Otherwise, omit the premium argument:pipinstallyahooqueryExampleThe majority of the data available through the unofficial Yahoo Finance API is related to a company, which is represented in yahooquery as aTicker. You can instantiate theTickerclass by passing the company's ticker symbol. For instance, to get data for Apple, Inc., passaaplas the first argument to theTickerclass:fromyahooqueryimportTickeraapl=Ticker('aapl')aapl.summary_detailMultiple Symbol ExampleTheTickerclass also makes it easy to retrieve data for a list of symbols with the same API. Simply pass a list of symbols as the argument to theTickerclass.fromyahooqueryimportTickersymbols=['fb','aapl','amzn','nflx','goog']faang=Ticker(symbols)faang.summary_detailLicenseThis project is licensed under the terms of the MIT license.
Package: yahoo-quote-download
yahoo_quote_downloadIntroductionThis project is for downloading Yahoo financial EOD (End-of-Day) data of stock and market indexes.BackgroundYahoo has provided the EOD financial data service for a long time and it has been well-used. However, starting on May 2017, Yahoo financial has terminated that service without warning. This is confirmed by a Yahoo employee in forum posts.However, it is later found that despite that the service has been terminated, the Yahoo financial EOD data is still available, though with some authentication steps added and some changes in format. Thetechnical detailsare described in a separate document.This project provides a way to continue obtaining the same data.InstallationThis is a Python project. So Python should be installed first. This project works with either Python2 or Python3.To install this project On Windows / Linux, you may simply dopip install yahoo_quote_downloadData DownloadThe main entry point is a commandline application. To download EOD data for a ticker, please tryyqdownload -t ticker -f datafile [-b begindate] [-e enddate] [-m maxretries] [-v verbose] [-h]whereticker - (Required) the ticker to download, e.g., MSFT (Microsoft) or ^DJI (Dow Jones Industrial index). Please check Yahoo financial webpage for the tickers they use.datafile - (Required) the file where the downloaded data is saved to.begindate - (Optional) the beginning date of the download in the format of YYYY-MM-DD. If not provided, the data will be incrementally downloaded based on the data in the data file. If all fails, the default is 1970-01-01.enddate - (Optional) the ending date of the download in the format of YYYY-MM-DD. If not provided, the default is the current day.maxretries - (Optional) max number of retries. Occationally, the download will reach an error. This is the maximum number of retries in such cases. The default is 5.verbose - (Optional) verbose level. The default is 1. You may use 0 to make it really quiet.As usual, you may use -h or --help options to see all the supported options.LicenseThis code in this project is available through "Simplified BSD License".
Package: yahooscraper
Python utilities for scraping Yahoo pagesThe yahooscraper package is organized into modules and submodules. Each
leaf module (i.e., module without submodules) contains functions that
take a single argument – HTML text of the page represented by the
module and its namespacing – and return some data parsed from the page.If the data is not found,Noneis returned. Or, in cases where an
iterable should be returned, an empty iterable may be returned.Each leaf module also includes aurl()function, which returns the
URL of the page represented by the module. In cases where the module
represents a set of URLs, this function takes parameters.To get data from pages that require authentication, first obtain an
authenticated session using theloginmodule’sauthenticated_session()method function.See more detailed API documentation using pydoc:$ pydoc yahooscraper
$ pydoc yahooscraper.login
$ pydoc yahooscraper.fantasy.teamExamplesOutput Fantasy NBA team name:importyahooscraperasysLEAGUE_ID=237834TEAM_ID=8session=ys.login.authenticated_session()response=session.get(ys.fantasy.team.url('nba',LEAGUE_ID,TEAM_ID))team=ys.fantasy.team.team(response.text)print(team)Install$ pip install yahooscraperDevelopmentTest$ python tests.pyDeployBump version insetup.py$ python setup.py register$ python setup.py sdist upload
Package: yahoo-search-api
&lt;div lang&#x3D;&quot;ja&quot;&gt;Yahoo!広告 検索広告 APIのWebサービスについて説明します。&lt;/div&gt; &lt;div lang&#x3D;&quot;en&quot;&gt;Search Ads API Web Services supported in Yahoo! JAPAN Ads API.&lt;/div&gt; &lt;div&gt;&lt;a target&#x3D;&quot;_blank&quot; href&#x3D;&quot;https://github.com/yahoojp-marketing/ads-search-api-documents/blob/master/design/v6/Route.yaml&quot;&gt;OpenAPI Specification&lt;/a&gt;&lt;/div&gt; &lt;div lang&#x3D;&quot;ja&quot;&gt;&lt;a target&#x3D;&quot;_blank&quot; href&#x3D;&quot;https://github.com/yahoojp-marketing/ads-search-api-documents/blob/master/bestpractice/ja&quot;&gt;Best Practice&lt;/a&gt;&lt;/div&gt; &lt;div lang&#x3D;&quot;en&quot;&gt;&lt;a target&#x3D;&quot;_blank&quot; href&#x3D;&quot;https://github.com/yahoojp-marketing/ads-search-api-documents/blob/master/bestpractice/en&quot;&gt;Best Practice&lt;/a&gt;&lt;/div&gt;   # noqa: E501