Saravanan666/pypi-org huggingface dataset:
Package: newslynx-sc-homepage
newslynx-sc-homepageInstallationProductionTo installnewslynx-sc-homepagefor an active installation ofnewslynx-core, run the following command:$newslynxsc-installhttps://github.com/newslynx/newslynx-sc-homepage.gitTo addnewslynx-sc-homepageall orgnaizations, run:$newslynxsc-syncDevelopmentIf you want to modify / add Sous Chefs tonewslynx-sc-homepage, do
the following:NOTEWill install a fresh version ofnewslynxviapip.$gitclonehttps://github.com/newslynx/newslynx-sc-homepage.git$cdnewslynx-sc-homepage$pipinstall--editable.You should now be able to runnewslynx-sc-homepage’s Sous Chefs in
development mode%newslynxsc-runnewslynx_sc_homepage/say_my_name.yaml--myname='Brian Abelson'TestsRequiresnose$makeall_testsDocumentationDocumentation fornewslynx-sc-homepageis hosted onRead The
Docs.It’s generated via the following stepsconverts this file (README.md) into a ReStructured Text file,
saving it todocs/index.rstrunsnewslynxsc-docsnewslynx_sc_homepage-frstto generate
documentation for all the Sous Chefs innewslynx-sc-homepageand
saves the output todocs/sous-chefs.rstBuilds Sphinx Documentation from these files.Continuous IntegrationBuilds fornewslynx-sc-homepagecan be found onTravisContributingSee thecontributing
guidelines.What’s in this module ?README.mdThis fileVERSIONnewslynx-sc-homepage’s source-of-truth version.requirements.txtnewslynx-sc-homepage’s python dependencies.MANIFEST.inSpecifications for which files to include in the PyPI
distribution.See the docs on thishere.setup.pySpecification’s for buildingnewslynx-sc-homepage’s PyPI
distribution..travis.ymlConfigurations for Travis Continuous IntegrationYou must activate this project ontravis-ci.orgfor this to run on subsequent updates.MakefileHelpers for managingnewslynx-sc-homepage.Includes:make clean:Cleans out cruft from this directory.make install:Installsnewslynx-sc-homepage. Assumes that you’re in a
virtual environment.make all_tests:Runs the tests.make readmeConverts this file to.rst, including a table of
contents, and saves it todocs/index.rstmake sous_chef_docsProgrammtically generatesSous Chef
documentationby runningnewslynxsc-docsnewslynx_sc_homepage/--format=rst>docs/sous-chefs.rst.make all_docs:Builds the sphinx docs fornewslynx-sc-homepageby
running the above two commands.make view_docsServes documentation atlocalhost:8000make register:Registersnewslynx-sc-homepageonPyPI.make distribute:Publishes a new version ofnewslynx-sc-homepageto PyPI.CONTRIBUTING.mdnewslynx_sc_homepagenewslynx-sc-homepage’s source code and Sous Chef configuration
files.docsSphnix documentation fornewslynx-sc-homepagetestsnosetests fornewslynx-sc-homepage
Package: newslynx-sc-rss
newslynx-sc-rssThis module contains all Sous Chefs which deal with RSS extraction.Installation$mkvirtualenvnewslynx-sc-rss$gitclonehttps://github.com/newslynx/newslynx-sc-rss.git$cdnewslynx-sc-rss$pipinstall.TestsRequiresnose$nosetestsDocumenationDocumentation fornewslynx-sc-rssis hosted onRead The
Docs.It’s generated via the following stepsconverts this file (README.md) into a ReStructured Text file,
saving it todocs/index.rstrunsnewslynxsc-docsnewslynx_sc_rss-frstto generate
documentation for all the Sous Chefs innewslynx-sc-rssand saves
the output todocs/sous-chefs.rstBuilds Sphinx Documentaiton from these files.Continuous IntegrationBuilds fornewslynx-sc-rsscan be found onTravisContributingSee thecontributing
guidelines.What’s in this module ?README.mdThis fileVERSIONnewslynx-sc-rss’s source-of-truth version.requirements.txtnewslynx-sc-rss’s python dependencies.MANIFEST.inSpecifications for which files to include in the PyPI
distribution.See the docs on thishere.setup.pySpecification’s for buildingnewslynx-sc-rss’s PyPI
dsitribution..travis.ymlConfigurations for Travis Continuous IntegrationYou must activate this project ontravis-ci.orgfor this to run on subsequent updates.MakefileHelpers for managingnewslynx-sc-rss.Includes:make clean:Cleans out cruft from this directory.make install:Installsnewslynx-sc-rss. Assumes that you’re in a
virtual environment.make all_tests:Runs the tests.make readmeConverts this file to.rst, including a table of
contents, and saves it todocs/index.rstmake sous_chef_docsProgrammtically generatesSous Chef
documentationby runningnewslynxsc-docsnewslynx_sc_rss/--format=rst>docs/sous-chefs.rst.make all_docs:Builds the sphinx docs fornewslynx-sc-rssby running
the above two commands.make view_docsServes documentation atlocalhost:8000make register:Registersnewslynx-sc-rssonPyPI.make distribute:Publishes a new version ofnewslynx-sc-rssto PyPI.CONTRIBUTING.mdnewslynx_sc_rssnewslynx-sc-rss’s source code and Sous Chef configuration
files.docsSphnix documentation fornewslynx-sc-rsstestsnosetests fornewslynx-sc-rss
Package: newslynx-url
A newslynx-opinionated collection of utilities for dealing with urls.Installpip install newslynx-urlTestrequiresnosenosetestsUsageThis module contains various methods that are used throughoutnewslnyx-core. but the main functions areunshorten_url,is_article_url, andprepare_url:fromnewslynx_urlimport(unshorten_url,is_article_url,prepare_url)printunshorten_url('bit.ly/1j3SrUC')# http://towcenter.org/blog/tow-fellows-brian-abelson-and-michael-keller-to-study-the-impact-of-journalism/printis_article_url('http://towcenter.org/blog/tow-fellows-brian-abelson-and-michael-keller-to-study-the-impact-of-journalism')# Trueprintis_article_url('http://towcenter.org/blog/tow-fellows-brian-abelson-and-michael-keller-to-study-the-impact-of-journalism',pattern=r'.*towcenter\.org/blog/.*')# Trueimportrepattern=re.compile(r'.*towcenter\.org/blog/.*')printis_article_url('http://towcenter.org/blog/tow-fellows-brian-abelson-and-michael-keller-to-study-the-impact-of-journalism',pattern=pattern)# Trueprintprepare_url('http://towcenter.org/blog/tow-fellows-brian-abelson-and-michael-keller-to-study-the-impact-of-journalism/?q=lfjad&f=lkfdjsal')# http://towcenter.org/blog/tow-fellows-brian-abelson-and-michael-keller-to-study-the-impact-of-journalism
Package: newsman
NewsmanA tool for scraping news from web.There is no AI here, just good old-fashioned if-else rules.UsageBasic usage:import newsman

# start reading
src = 'https://www.bbc.com'
news = newsman.read(src)

# show articles
for article in news:
    print(f'Url: {article.url.url}')
    print(f'Title: {article.title}')
    print(f'Text: {article.text}')
    print(f'Main image: {article.main_image}')Customizing configuration:import newsman

# get configuration
config = newsman.get_config()

# add a proxy for connection
config['proxies'] = proxies

# update accepted/rejected domains
config['accepted_domains'] = ['a-good-site.com', 'the-best-one.org']
config['rejected_domains'] += ['bad.com', 'very.bad.biz']

# override default values for web retrieval
config['link_depth'] = 2            # crawling depth level
config['scan_limit'] = 10           # max. number of scanned sites

# set pipes
pipes = ['byte2html', 'html2text', 'text2title', 'html2image']
news = newsman.News(config, pipes)

src = 'https://www.bbc.com'
pages = news(src)Proxy information is formatted according toRequests format.Installationpip install newsman
Package: newsmeta
newsmetaA python module for parsing HTML into news components.Dependencies :globe_with_meridians:Python 3.7Newspaper3k 0.2.8BeautifulSoup 0.0.1Dateutil 2.8.2LangDetect 1.0.9Extruct 0.13.0DeepTranslator 1.5.4HTML5Lib 1.1Installation :inbox_tray:This is a python package hosted on pypi, so to install simply run the following command:pip install newsmetaUsage example :eyes:In order to use this library simply feed it the downloaded HTML and the URL of the news piece, like so:importnewsmetawithopen("article.html")asarticle_fh:article=newsmeta.parse(article_fh.read(),"http://www.article.com/article")print(article.title)License :memo:The project is available under theMIT License.
Package: newsmile
NewSmileAnother Smile Format Decoder/Encoder for Python 3EncodingImport SmileEncoderfromnewsmileimportSmileEncoderCreate Encoder object, with arguments:raw_binary(bool), default =False: contains binary datashared_values(bool), default =False: maintains shared values buffer and referencesshared_keys(bool), default =True: maintains shared keys buffer and referencesfloat_precision(0|4|8), default =0: float values precisions (0=auto)encoding(string), default ='utf-8': encoding used for unicode values and keys(Note: specs implies shared values are defaulted to False)encoder=SmileEncoder(shared_values=True)Encode dataIf data is a dictionnary, it is encoded as is. If data is a string, it is considered as a json string.# Example with a dictionaryan_object={'a':123,'b':[4,5,6],'c':{'d':'a_string','e':None}}result=encoder.encode(an_object)print(result)>>> b':)\n\x03\xfa\x80a$\x03\xb6\x80b\xf8\xc8\xca\xcc\xf9\x80c\xfa\x80dGa_string\x80e!\xfb\xfb'# Example with jsonimportjsonan_object={'a':123,'b':[4,5,6],'c':{'d':'a_string','e':None}}result=encoder.encode(json.dumps(an_object))print(result)>>> b':)\n\x03\xfa\x80a$\x03\xb6\x80b\xf8\xc8\xca\xcc\xf9\x80c\xfa\x80dGa_string\x80e!\xfb\xfb'DecodingImport SmileEncoderfromnewsmileimportSmileDecoderCreate Decoder object, with arguments:encoding(string), default ='utf-8': encoding used for unicode values and keysdecoder=SmileDecoder()Decode valuedecoder.decode(result)decoded_object=decoder.decode(result)print(decoded_object)>>> {'a': 123, 'b': [4, 5, 6], 'c': {'d': 'a_string', 'e': None}}Encoding example, from fileimportjsonfromnewsmileimportSmileEncoderencoder=SmileEncoder(shared_values=True,encoding='iso-8859-1')dico={'a':1,'b':[2,3,4],'c':{'subkey':'a string'}}smile_data=encoder.encode(json.dumps(dico))Decoding example, from filefromnewsmileimportSmileDecoderdecoder=SmileDecoder()withopen('smile-data-file','rb')assmile_file:data=decoder.decode(smile_file.read())Running testscdtestspythontest.py
Package: news-nlp
News NLP for Global Geopolitical Risk=======================================This is a Python client for the news NLP.UsageFirst install itpip install news-nlp -UThen instantiate and use it like this:importNews_NLPfromNews_NLP.GNewsimportGNewsfromNews_NLP.preprocessingimportPreprocessing_Clf_SA,Preprocessing_GEO,Combine_ColfromNews_NLP.gpr_classifierimportGPR_ClffromNews_NLP.sentiment_clfimportSen_ClffromNews_NLP.geolocatorimportGet_CSC_Prob,CSC_ProbFetch news articles from Google News API,from News_NLP.GNews import GNewsPreproces news data for sentiment analysis and news type classifierfrom News_NLP.preprocessing import Preprocessing_Clf_SAPreproces news data for multiple-geolocatorfrom News_NLP.preprocessing import Preprocessing_GEOImplement pretrained deep leanring model to caterise news articlefrom News_NLP.gpr_classifier import GPR_ClfPerform sentiment classifierfrom News_NLP.sentiment_clf import Sen_ClfImplement multiple geolocatorform News_NLP.geolocator import Get_CSC_Prob, CSC_Prob,GitHubFor a demonstration in Jupyter notebook seehttps://github.com/HigherHoopern/News_NLP/NewsApp.ipynbdownload sample news datahttps://github.com/HigherHoopern/News_NLP/blob/main/data/SampleNews.csv
Package: newspaper3kli
Newspaper3kliNewspaper3klistands for the "kommand-line" interface overNewspaper3k.A tiny layer on top of Newspaper3k with support for Unix-like
executions and parallelism (using asyncio) to download bulks of
articles faster.RequirementsIn addition to the requirements, make sure you havenltk'spunktpackage installed (vianlkt.download()in
interactive Python) for Newspaper3k'sarticle.nlp()to work
properly.Installation# assuming your OS has pip3 as defaultpipinstallnewspaper3kli==0.1.0UsageOverview of available parametersusage:newspaper3kli[-h][--urlURL][-r][-oOUTPUT][-u][-mMAX_RETRIES][-bBACKOFF][urls[urls...]]positionalarguments:urlsURLtodownloadcontentfrom(singledownload)optionalarguments:-h,--helpshowthishelpmessageandexit--urlURLEntertheURLstodownloadcontentfrom.-r,--redirectsFlagtoenablefollowredirectsinwebpages.-oOUTPUT,--outputOUTPUTOutputpathtostoretheresults-u,--unverifiedSelecttoallowunverifiedSSLcertificates.-mMAX_RETRIES,--max_retriesMAX_RETRIESSetthemaxnumberofretries(default0tofailonfirstretry).-bBACKOFF,--backoffBACKOFFSetthebackofffactor(default0).ExecutingPassing URLs from the terminalnewspaper3klihttps://hello.world/article/2020\https://hello.world/article/2019Reading from a txt fileTXT is the simplest file format for reading with Newspaper3kli.Assuming the txt file has the following content (line delimited URLs):https://hello.world/article/2020
https://hello.world/article/2019cat/path/to/this/file.txt|newspaper3kliReading from a CSV fileCSV parsing will depend in a tool likeawkorcutto split the columns.Content sampleurl,tags,date
https://hello.world/article/2020,some|thing,2020-01-01T00:00:00
https://hello.world/article/2019,some|thing,2019-01-01T00:00:00Processing# note that $1 corresponds to the URLs column number, change to yourscat/path/to/this/file.csv|awk-F,'NR==50{ print $1 }'|newspaper3kliFor any other character-delimited content, simple change from -F, (comma)
to the desired format, e.g.: -F\t for TSVOutput pathWhen no path is specified through--outputparameter, the default path isoutputinside Newspaper3kli's directory. Files are created according to
Article's name, and are stored in pairs:JSON for metadata;HTML for content;CreditsThanks todsynkovfor the work atnewspaper-bulk. The source of
inspiration and some code for this project.
Package: newspaper-scraper
Newspaper-ScraperThe all-in-one Python package for seamless newspaper article indexing, scraping, and processing – supports public and premium content!IntroWhile tools likenewspaper3kandgoose3can be used for extracting articles from news websites, they need a dedicated article url for older articles and do not support paywall content. This package aims to solve these issues by providing a unified interface for indexing, extracting and processing articles from newspapers.Indexing: Index articles from a newspaper website using thebeautifulsouppackage for public articles andseleniumfor paywall content.Extraction: Extract article content using thegoose3package.Processing: Process articles for nlp features using thespaCypackage.The indexing functionality is based on a dedicated file for each newspaper. A few newspapers are already supported, but it is easy to add new ones.Supported NewspapersLogoNewspaperCountryTime spanNumber of articlesDer SpiegelGermanySince 2000tbdDie WeltGermanySince 2000tbdBildGermanySince 2006tbdDie ZeitGermanySince 1946tbdHandelsblattGermanySince 2003tbdDer TagesspiegelGermanySince 2000tbdSüddeutsche ZeitungGermanySince 2001tbdSetupIt is recommended to install the package in an dedicated Python environment.To install the package via pip, run the following command:pipinstallnewspaper-scraperTo also include the nlp extraction functionality (viaspaCy), run the following command:pipinstallnewspaper-scraper[nlp]UsageTo index, extract and process all public and premium articles fromDer Spiegel, published in August 2021, run the following code:importnewspaper_scraperasnpsfromcredentialsimportusername,passwordwithnps.Spiegel(db_file='articles.db')asnews:news.index_articles_by_date_range('2021-08-01','2021-08-31')news.scrape_public_articles()news.scrape_premium_articles(username=username,password=password)news.nlp()This will create a sqlite database file calledarticles.dbin the current working directory. The database contains the following tables:tblArticlesIndexed: Contains all indexed articles with their scraping/ processing status and whether they are public or premium content.tblArticlesScraped: Contains metadata for all parsed articles, provided by goose3.tblArticlesProcessed: Contains nlp features of the cleaned article text, provided by spaCy.
Package: newspaper-zw
zim-newspaperlibrary to get newspaper, news from zim leading news providersExamplefromnewspaperzw.ProviderimportProvidersfromnewspaperzw.newsimportNews# add your favourite news source so as to use its name only when getting news datap=Providers(provider={'techzim':'https://www.techzim.co.zw/'})# get all preset news sources and urlall=Providers().getAll()try:# get data from news site by name, default = `herald`api=News(provider='techzim')news_data=api.paper()# return dict with all news data, best to use `prettyprinter`print(new_data)exceptExceptionase:print("There was a problem: ",e)Get summary of articleto get summary through NLP function,nltkis needed as dependentthis returns same results as above but with a summary attribute that contains a summary of the articlefromnewspaperzw.ProviderimportProvidersfromnewspaperzw.newsimportNewstry:# get data from news site by name, default = `herald`api=News(provider='techzim',summary=True)news_data=api.paper()# return dict with all news data, best to use `prettyprinter`print(new_data)exceptExceptionase:print("There was a problem: ",e)NEW!added flag to set or disable cache# __version__1.1.0fromnewspaperzw.ProviderimportProvidersfromnewspaperzw.newsimportNews'''get a summary of the article from each article through the `summary=True` flagavoid cache memory by disabling it through the `cache=False` flagif cache is True, it will not return news previously downloaded on previous runs'''try:# get data from news site by name, default = `herald`api=News(provider='techzim',summary=True,cache=False)news_data=api.paper()# return dict with all news data, best to use `prettyprinter`print(new_data)exceptExceptionase:print("There was a problem: ",e)TODOlibrary scrapes all available data that it encounters, need to narrow it down by date/month/yearstart fromtodayup to any news obtained fromlast yearimprove speeddisble loggingdate publishedlog files need to be deleted in case they occupy signficant space on disk
Package: newspick
Iris Model AppWelcome to this beautiful  app.Try calling it:curl -H "Content-Type: application/json" -X POST -d "[{"x1":5.1, "x2":3.5, "x3":1.4, "x4":0.2}]"https://larsk-flask.herokuapp.com/predict/curl -H "Content-Type: application/json" -X POST -d "[{"x1":5.1, "x2":3.5, "x3":1.4, "x4":0.2}, {"x1":6.2, "x2":3.4, "x3":5.4, "x4":2.3}]"https://larsk-flask.herokuapp.com/predict/blaaah
Package: newspider
##Example.py# -- coding: utf-8 --
from pyquery import PyQuery as pqfrom newspider.interfaces import *
from newspider.spider import Newspiderclass DemoFetcher(IntFetcher):def __init__(self):self.next_page = []def fetch_detail_urls(self,html):d = pq(html)
list = []for a in d(‘.post-title a’):url = d(a).attr(‘href’)
extras = {“category”: “Test for %s” % url}
list.append((url,extras))for l in d(‘.page-navigator a’):self.next_page.append(d(l).attr(‘href’))return listdef start_page(self):return [’http://www.typechodev.com/’,’http://www.typechodev.com/index.php/category/questions/’]def next_pages(self):return self.next_pageclass DemoParser(IntParser):def parse(self,tag,html,extras):print “Receive content from url %s for tag %s|%s” % (extras.get(‘_url’),extras.get(‘category’),tag)if __name__ == ‘__main__’:sp = Newspider()
sp.config(‘GUARD_INTERVAL’, 0)sp.add_parser(DemoParser())
sp.add_fetcher(DemoFetcher())sp.run()
Package: newspipe
A web news aggregator with visualization improvements and powered by Artificial Intelligence (IA)Development commandsType checksRunning type checks with mypy:$ mypy newspipeTest coverageTo run the tests, check your test coverage, and generate an HTML coverage report:$ coverage run -m pytest
$ coverage html
$ open htmlcov/index.htmlCeleryThis app comes with Celery. To run a celery worker:celery-Anewspipeworker-linfo
Package: news-please
news-please is an open source, easy-to-use news crawler that extracts structured information from almost any news website. It can follow recursively internal hyperlinks and read RSS feeds to fetch both most recent and also old, archived articles. You only need to provide the root URL of the news website. Furthermore, its API allows developers to access the exctraction functionality within their software. news-please also implements a workflow optimized for the news archive provided by commoncrawl.org, allowing users to efficiently crawl and extract news articles including various filter options.
Package: news-popularity-prediction
# news-popularity-prediction
A set of methods that predict the future values of popularity indices for news posts using a variety of features.Install### Required packages
- numpy
- scipy
- pandas
- scikit-learn### Installation
To install for all users on Unix/Linux:python3.4 setup.py build
sudo python3.4 setup.py installAlternatively:pip install news-popularity-predictionExperimentsJust run:python3.4 run_all_experiments.pyfrom news_popularity_prediction.entry_points.snow_2016_workshop
Package: newspy
NewspyThe news client written in Python that fetches and curates the world news across the web.Table of contentsRequirementsNews SourcesBasic usageCreate virtual environmentRSS feeds clientNewsorg clientNewspy clientContributingRequirementsPython 3.10+Poetry 1.4.0+ (for dependency management)yarn (for the semantic-release versioning)API Key from the New API Organisation:https://newsapi.org/News SourcesNews API. Requires API Key from:https://newsapi.org/RSS feedsBasic usageCreate virtual environmentpython-mvenv.venv# Activate virtual environment.venv/bin/activate# Linux or MacOS.venv/Script/activate# Windows# InstallpipinstallnewspyRSS feeds clientGet available news sources from RSS feedsfromnewspyimportrssrss_sources=rss.get_sources()print(rss_sources)Get articles from RSS feedsrss_articles=rss.get_articles()print(rss_articles)Newsorg clientConfigure your Newsorg API keyYou can get one here:https://newsapi.org/importnewspy.clientasnewspynewsorg_api_key="YOUR_NEWSORG_KEY"newspy.configure(newsorg_api_key=newsorg_api_key)Get available news sources from Newsorgfromnewspyimportnewsorgnewsorg_sources=newsorg.get_sources()print(newsorg_sources)Get articles from Newsorgfromnewspyimportnewsorgfromnewspy.newsorg.modelsimportNewsorgEndpointnewsorg_articles=newsorg.get_articles(endpoint=NewsorgEndpoint.TOP_HEADLINES,search_text="bitcoin",)print(newsorg_articles)Newspy clientThe newspy client makes it convenient to get articles from both the RSS feeds and Newsorg APIs.Configure your Newsapi API keyimportnewspy.clientasnewspynewsorg_api_key="YOUR_NEWSORG_KEY"newspy.configure(newsorg_api_key=newsorg_api_key)Get available news sources from both RSS feeds and Newsorgimportnewspy.clientasnewspynews_sources=newspy.get_sources()print(news_sources)Get articles from both RSS feeds and Newsorgimportnewspy.clientasnewspynews_articles=newspy.get_articles()print(news_articles)ExamplesSee theexamplesdirectory for more examples.ContributingWant to contribute? Read ourcontribution guideline.
Package: news-python
news-pythonA Python API Wrapper for thehttps://newsapi.org/JSON APIInstallationTo install news-python, simply use:pip install news-pythonUsageimportnews_pythonnews=news_python.Global(key="API-KEY")news_content=news.get_news(query="bitcoin",source="cnn")print(f"Title:{news_content.title}\n"f"URL:{news_content.url}\n"f"Author:{news_content.author}")More can be found inthe docsor in theexamples folderErrorsThe module will raiseKeyErrorif the API key is wrongThe module will raiseValueErrorif the API can't find anything about the searched topic or country
Package: newsreader
Newsreader (nr) is a console news reader that displays news articles
centered and limited to 80 characters in width.Only text.npr.org is currently supported. Support for lite.cnn.com is
planned for the future.UsageEnterView the selected articlebReturn to article listrRefresh the list of articles (clear the cache)qExitj / kSelect one article up/downInstallInstallion is through pip:pip install newsreaderDevelopmentNewsreader is Written in Python and using the uwrid library. Patches
and Pull Requests welcome!LicenseNewsreader is licensed under Apache v2.0