Saravanan666/pypi-org huggingface dataset:
Package: news-cli
The Local NewsGet the local news on your cli about the any topicInstall====================pipinstallnews-cli

Usage:news[OPTIONS]Readnewsonyourcommandline.

Options:--areaTEXTheadlinesforareas[default:USA;options:[india|israel|france|usa|us|uk|england|technology|business|science|health|general|sports]--keywordTEXTSpecificnewsforthekeyword--helpShowthismessageandexit.Run====================news#displaystopnewsfromUSnews--areatechnology#displaytechnewsnews--keywordcoronavirus#shownewsaboutcoronaviruskeyword
Package: newscraping
NewscrapingThis package makes webscraping of financial headlines easy.Suported sources:reuters.com/finance/marketsft.com/marketsInstallationNewscraping can be installed from PyPI usingpipor your package manager of choice:pip install newscrapingUsageCLIYou can use newscraping as a CLI tool using thenewscrapingcommand.The package will get the latest headline from reuters and print is in the terminal.This is mainly for testing purposes.Python scriptYou can import the newscraping package in your python project using:from newscraping import newsAnd then use it as:df = news(newspaper="reuters", n_articles=-1, early_date="2020-01-01", verbose=0)With the default parameters (see above), only the last headline from reuters will be returnednewspaper argument must be in ["reuters", "financial times"]n_articles argument is the number of articles to return, starting with the most recent onesearly_date argument is the publication date of the earliest article to returnIf both n_articles and early_date are provided, the script will stop scraping when the any condition is metPass verbose=1 to print in the progress of websraping (current page and publication date)List of available sourcesYou can get the list of available sources this package is configured for calling:from newscraping import newspapers
available_sources = newspapers()
Package: news-crawler_vpt
News Crawler - CodeAcademy Artificial Intelligence student programAbout the ProjectThis project is the first assessment project in the CodeAcademy artificial intelligence training program. It was designed to demonstrate data collection and processing skills using Python, showcasing the ability to extract, categorize, and store information from online sources effectively.FunctionalityThe project includes several main scripts:category_crawler.py: Browses a specified website, extracts company categories, and saves them in a CSV file.data_ex.py: Responsible for extracting data from the website according to categories and printing the data in the console.main.py: The main script, managing the entire process from category acquisition to data extraction and storage.How to UseTo use this program, follow these steps:Ensure you have the necessary libraries installed:selenium,requests,lxml. The list can be found in thepyproject.tomlfile.Run themain.pyscript.Follow the console instructions to control the data collection process.AuthorThis project was created by Vilmantas Pielikis, a student in the CodeAcademy AI training program, demonstrating a practical application of web scraping and data handling techniques in Python.LicenseThis project is available for use subject to the author's permission. For any commercial or academic use, or for modifications and distribution, please obtain explicit permission from the author. This approach ensures responsible usage and maintains the integrity of the project.
Package: newsdash
NewsDashNewsDash is a fast and reliable Python wrapper for the News API that simplifies accessing the latest news articles from around the world. 📰Made by: NaviTheCoderboi!!! note "Note"
This is a WIP library, please report bugs if you find oneFeaturesFast performance:This API wrapper is designed to be fast and efficient, allowing users to retrieve news articles quickly and easily.Reliable functionality:The wrapper uses best practices to ensure reliable functionality and accuracy in retrieving news articles from the API.Easy-to-use interface:The API wrapper has an intuitive interface that makes it easy for developers to interact with the API and retrieve news articles without having to worry about the details of the underlying protocol.Built with aiohttp:The wrapper is built using the popular aiohttp library, which provides high-performance asynchronous HTTP client/server for asyncio and Python. This means the wrapper takes advantage of the latest and greatest in async programming techniques to provide fast and efficient performance.Customizable functionality:The wrapper has a range of customization options, allowing developers to tailor their use of the API to their specific needs.Flexible data handling:The wrapper is designed to handle a wide variety of data formats, allowing developers to work with the data in the way that best suits their needs.Well-documented:The wrapper has clear and comprehensive documentation, making it easy for developers to get up and running quickly and troubleshoot any issues that may arise.Installationpython-mpipinstallnewsdashExampleswith clientfromnewsdashimportNewsDashimportasynciocl=NewsDash("your_api_key")asyncdefget_news():print(awaitcl.get_everything(query="tech",pageSize=5))print(awaitcl.get_top_headlines(query="Microsoft"))print(awaitcl.get_sources(country="in",language="en"))asyncio.run(get_news())with async context managerfromnewsdashimportNewsDashimportasyncioasyncdefmain():asyncwithNewsDash("api_key")asnd:print(awaitnd.get_everything(query="apple"))asyncio.run(main())Important urlsNewsApiNewsDash repositoryNewsDash pypiNewsDash documentation
Package: newsdatascraper
NewsDataScrapperPython package that helps you easily retrieve complete web articles.RequirementsPython 3.5+Newspaper3kAPI Key fromNewsApior API Key fromGNewsInstallationpip3installnewsdatascraperUsagefromnewsdatascraperimportScraper#To first get a single article on a topicnew_scraper=Scraper('mock-api-key')articles=new_scraper.fetch_all_articles(query='two sigma',pageSize=10)"""We support two APIs: NewsApi and GNewsApiTo control the API being used change the argument of mode to either 'NEWSPAPER' or 'GNEWS'"""new_scraper=Scraper('mock-api-key',mode='GNEWS')articles=new_scraper.fetch_all_articles(query='two sigma',pageSize=10,dateFrom="2019-08-04",dateTo="2019-08-10")#To access individual articles and their propertiesfirst_article=articles.articles[0]print(first_article.content)#We also provide helper functions to serialize the dataarticles.toCsv('test.csv')articles.toPickle('test.pickle')articles.toJson()Important NotePlease look at rate limits in the APIs to determine your prefered usageWorking on the ProjectRun formatblack.Run Linterpylama-osetup.cfg.Run testspytestRun tests + code coveragesh./scripts/generate_coverage.sh
Package: newseyevent
newseyeventThis Python package is used to represent awikiventsEventobject as a Solr orplatform.newseye.euquery string.Full documentationis hosted on Gitlab Pages and available publicly.Request managersThe only object you should use in order to export event is either theSolrCollectionand theSolrQueryEventArticlesInLanguageclass or inherited classes.Below is an example on how to use theSolrRequestManager:fromwikivents.modelsimportISO6391LanguageCodefromwikivents.factories.wikimediaimportWikimediaFactoryfromdatetimeimportdatetimefromnewseyevent.solrimportSolrQueryEventArticlesInLanguage,SolrQueryEventArticlesInLanguageDateRange,\SolrInstance,SolrCollection# Create the Easter Rising event instanceevent=WikimediaFactory.create_event("Q193689")# Create the object representing the Solr Collection (on a specific host, with an explicit collection name)solr_collection=SolrCollection(SolrInstance("localhost",8993),"newseye_collection")# Query articles related to the event, in Englishquery_articles_in_lang=SolrQueryEventArticlesInLanguage(event,ISO6391LanguageCode("fr"))print(solr_collection.query(query_articles_in_lang))# Query articles related to the event, in English, published between 01/01/1910 and 01/01/1911query_articles_in_lang_date_range=SolrQueryEventArticlesInLanguageDateRange(event,ISO6391LanguageCode("en"),datetime.strptime("1910-01-01","%Y-%m-%d"),datetime.strptime("1911-01-01","%Y-%m-%d"))print(solr_collection.query(query_articles_in_lang_date_range))
Package: news-fetch
news-fetchnews-fetch 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 to crawl it completely. News-fetch combines the power of multiple state-of-the-art libraries and tools, such asnews-please-Felix HamborgandNewspaper3K-Lucas (æ¬§é˜³è±¡) Ou-Yang. This package consists of both features provided by Felix's work and Lucas' work.I built this to reduce most of NaN or '' or [] or 'None' values while scraping for some news websites. Platform-independent and written in Python 3. Programmers and developers can very easily use this package to access the news data to their programs.SourceLinkPyPI:https://pypi.org/project/news-fetch/Repository:https://santhoshse7en.github.io/news-fetch/Documentation:https://santhoshse7en.github.io/news-fetch_doc/(Not Yet Created!)Dependenciesnews-pleasenewspaper3kbeautifulsoup4fake_useragentseleniumchromedriver-binarypandasExtracted informationnews-fetch extracts the following attributes from news articles. Also, have a look at anexamplary JSON fileextracted by news-please.headlinename(s) of author(s)publication datepublicationcategorysource_domainarticlesummarykeywordurllanguageDependencies InstallationUse the package managerpipto install followingpipinstall-rrequirements.txtUsageDownload it by clicking the green download button here onGithub. To extract URLs from a targeted website, call the google_search function. You only need to parse the keyword and newspaper link argument.>>>fromnewsfetch.googleimportgoogle_search>>>google=google_search('Alcoholics Anonymous','https://timesofindia.indiatimes.com/')Use theURLsattribute to get the links of all the news articles scraped.>>>google.urlsDirectory of google search results urlsTo scrape all the news details, call the newspaper function>>>fromnewsfetch.newsimportnewspaper>>>news=newspaper('https://www.bbc.co.uk/news/world-48810070')Directory of news>>>news.headline'g20 summit: trump and xi agree to restart us china trade talks'ContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseMIT
Package: newsfx
newsfxDự án đang trong quá trình thực hiệnBắt đầu nhanhCài đặtChỉ support Python 3.6+pip install newsfxThực hiệnfromnewsfximportNewsFXrun=NewsFX('https://vnexpress.net/thoi-su/nguoi-dan-un-un-tro-lai-sai-gon-ha-noi-sau-ky-nghi-le-3917122.html')run.parser()print(run.get_title)# Người dân ùn ùn trở lại Sài Gòn, Hà Nội sau kỳ nghỉ lễlấy hình#lấy link của hìnhprint(run.get_top_image_link)#https://link_dan_toi_file.jpg# save hìnhrun.save_top_image_link(name='ten_file_anh.jpg')Trang tin hỗ trợnews sitetitlepublished_datesummarycontentauthortop_imageVnExpress✔️✔️✔️✔️✔️✔️Tuổi Trẻ Online✔️✔️✔️✔️✔️️️️️️️✔️Thanh Niên✔️✔️✔️✔️✔️✔️Tiền PhongLao ĐộngBáo mớiNgười Lao ĐộngNhân DânĐời Sống Pháp LuậtVietnamnetZing NewsDân TríNhịp Sống SốTri Thức TrẻVietnam PlusTODOTự động nhận dạng url đầu vàoĐịnh dạng kết quả trả về trong dictionaryTênKiểu trả vềMô tảHỗ trợtitlestringTiêu đề bài viết✔️htmlstringCode html bài viết✔️textstringNội dung bài viết chưa được xử lý✔️clean_textstringNội dung bài viết đã được xử lýauthorlistTác giả bài viết✔️publisheddateNgày đăng bài viết✔️top_imagestringHình ảnh đặc trưng của bài viết✔️imageslistDanh sách hình ảnh có trong bài viết✔️keywordslistTừ khóa bài viết (có sẵn từ bài viết)
Package: newsgather
NewscatcherProgrammatically collect normalized news from (almost) any website.
Bynewscatcherapi.com.DemoMotivationWhile working on newscatcherapi -- JSON API to query the news articles,
I came up with an idea to make a simple Python package that would allow
to easily grab the live news data.When I used to be a junior data scientist working on my own side projects,
it was difficult for me to operate with external data sources. I knew Python
quite well, but in most cases it was not enough to build proper data pipelines
that required gathering data on my own.Even though I do not recommend to use this package for any production systems, I believe that it should be enough to test your assumptions and build some MVPs.Installationpip install newscatcherTech/framework usedThe package itself is nothing more than a SQLite database with
RSS feed endpoints for each website and some basic wrapper offeedparser.Code Example/DocumentationLet's review all possible usage of the package.In its core, it has a class calledNewscatcher. This class is all you need in order to get latest news.After installing your package, import the class:from newscatcher import NewscatcherNow you just need to put a url of a desired news source as an input into our class.Please take the base form url of a website(withoutwww.,neitherhttps://, nor/at the end of url).For example: “nytimes”.com, “news.ycombinator.com” or “theverge.com”.news_source = Newscatcher('blackfaldslife.com')If you have done it right and the source that you chose is presented in our database, you will get a variable with 3 components and 1 method:news_source.website-- the same string that you entered inside the class.news_source.news-- a list of a feedparser dictionary with latest news presented on the website.news_source.headlines-- a list with latest headlines presented on the website.news_source.print_headlines()-- print headlines of all latest articles.Each element ofnewslist is a json object with all relevant and available information regarding an article. If you want to know more about the attributes that you can extract from this json, go check the official documentation of feedparser following this link:feedparser_attributes. You can find everything that begins withentries[i]. But be aware that not all the attributes are provided by the news website.If for some reason you do not like classes, you can always import 2 main methods and use them separately.from newscatcher import get_newsnews = get_news('wired.co.uk')orfrom newscatcher import get_headlinesnews = get_headlines('wired.co.uk')LicenceMIT
Package: newshomepages
An open-source archive that gathers, saves, shares and analyzes news homepagesLinksTask runner:github.com/palewire/news-homepages-runnerInternet Archive:archive.org/details/news-homepagesMastodonmastodon.palewi.re/@newshomepagesTelegram:t.me/newshomepagesDocumentation:palewi.re/docs/news-homepages/Packaging:pypi.org/project/newshomepagesHow to add a site:palewi.re/docs/news-homepages/adding.html
Package: newsie
newsieHow about a daily printed newspaper, govna?DescriptionNewsie delivers a fresh hard-copy newspaper via your printer every morning based on the news sources you select.  Each article includes a summary and a QR code you can scan with your phone shoud youwant to know more.StatusGenerates a page of news from a list of RSS feedsCan print the page directly to CUPS-configured printerEmails the page to a configured destinationBlocks stories based on keywordsUsageOnce installed and configured, the commandnew-issuewill email and print a new issue of the paper.RequirementsYou'll need to install a LaTex compiler, something along these lines:sudo apt-get install texlive-pictures texlive-science texlive-latex-extra latexmkInstallationpip install newsie... or to install from source, clone this repository and then...pip install .ConfigurationCopyconfig_template.initoconfig.iniand modify the configuration as needed.NOTE: Make sure the paths in the configuration file actually exist!"TODOMake the feed list dynamic (part of the config)Add a tool to automate configurationFix encoding/unicode issues (ex:, the'init'sgetting turned into weird characters).Blend stories so they don't appear grouped by sourceOnly include stories from the last 24 hours (or some configured amount)Grab more of the article if the RSSsummaryis too shortFigure out why iOS won't parse the QR code linksCreate a CLIAdd forecast to weatherSupport other weather providersMake story titles smaller than headerRe-work configuration (module-based is broken now that we're a real package)Fix path issues that have come-up as a result of packagificationCreate qr image directory if it's missingBetter output (remove debugging code, etc.)Fix "first page is blank" problemMake number of articles configurable
Package: new-sigproextractor
SigProfilerExtractorSigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format.
The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability
for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator
and SigProfilerPlotting.INSTALLATIONIn the commandline, please type the following line:$pip install sigproextractorInstall your desired reference genome from the command line/terminal as follows (available reference genomes are: GRCh37, GRCh38, mm9, and mm10):$ python
>> from SigProfilerMatrixGenerator import install as genInstall
>> genInstall.install('GRCh37')This will install the human 37 assembly as a reference genome. You may install as many genomes as you wish.open a python interpreter and import the SigProfilerExtractor module. Please see the examples of the functions.FUNCTIONSimportdataImports the path of example data.

importdata(datatype="matobj")

Example: 
-------
>>> from sigproextractor import sigpro as sig
>>> data = sig.importdata("text")
This "data" variable can be used as a parameter of the "project" argument of the sigProfilerExtractor function.

To get help on the parameters and outputs of the "importdata" function, please write down the following line:

>>> help(sig.importdata)sigProfilerExtractorExtracts mutational signatures from an array of samples.

sigProfilerExtractor(input_type, out_put, project, refgen="GRCh37", startProcess=1, endProcess=10, totalIterations=8, 
cpu=-1, hierarchy = False, mtype = ["default"],exome = False, indel_extended = False)



Examples
--------

>>> from sigproextractor import sigpro as sig
>>> data = sig.importdata("vcf")
>>> sig.sigProfilerExtractor("vcf", "example_output", data, startProcess=1, endProcess=3)

Wait untill the excecution is finished. The process may a couple of hours based on the size of the data.
Check the current working directory for the "example_output" folder.

To get help on the parameters and outputs of the "sigProfilerExtractor" function, please write down the following line:

>>> help(sig.sigProfilerExtractor)COPYRIGHTThis software and its documentation are copyright 2018 as a part of the sigProfiler project. The SigProfilerExtractor framework is free software and is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.CONTACT INFORMATIONPlease address any queries or bug reports to S M Ashiqul Islam (Mishu) at m0islam.ucsd.edu
Package: news-inspector
news-inspectorNews-inspector is a free software library for analyzing and acquiring information from news. It features various NLP and machine learning tasks that can be performed on text news articles:classificationnamed entity recognitionknowledge-based article searchAll the methods can be easily configured and trained/retrained. Once trained, they can be loaded and used on new articles.RequirementsPython >=3.4scikit-learn>=0.17.1sklearn-crfsuite>=0.3nltk>=3.24Installationpipinstallnews-inspectorQuick startTrain the model:fromnews_inspectorimportGenericClassifiertrain_model(GenericClassifier,"myconfig.xml","myclassifier.model");Load and use the model:fromnews_inspectorimportload_modelmodel=load_model("myclassifier.model");result=model.classify(text);DocumentationRead the docs athttps://news-inspector.readthedocs.io/en/latest/.
Package: newsletter.types
newsletter.typesContent types for newsletter creation from Volto site. Use it with volto-newsletter Volto addon.InstallationInstall newsletter.types by adding it to your buildout:[buildout]

...

eggs =
    newsletter.typesand then runningbin/buildoutAuthorsLur Ibargutxi (libargutxi@codesyntax.com)ContributorsContributeIssue Tracker:https://github.com/collective/newsletter.types/issuesSource Code:https://github.com/collective/newsletter.typesDocumentation:https://docs.plone.org/foo/barSupportIf you are having issues, please let us know.
We have a mailing list located at:project@example.comLicenseThe project is licensed under the GPLv2.ContributorsLur Ibargutxi,libargutxi@codesyntax.comChangelog1.0 (2022-07-13)Initial release.
[libargutxi]
Package: newslynx-sc-example
An example Sous Chef module generated byInstallationVia pip$pipinstallnewslynx-sc-exampleFrom source$mkvirtualenvnewslynx-sc-example$gitclonehttps://github.com/newslynx/newslynx-sc-example.git$cdnewslynx-sc-example$pipinstall.TestsRequiresnose$nosetestsDocumenationDocumentation fornewslynx-sc-exampleis 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_example-frstto generate
documentation for all the Sous Chefs innewslynx-sc-exampleand
saves the output todocs/sous-chefs.rstBuilds Sphinx Documentaiton from these files.Continuous IntegrationBuilds fornewslynx-sc-examplecan be found onTravisContributingSee thecontributing
guidelines.What’s in this module ?README.mdThis fileVERSIONnewslynx-sc-example’s source-of-truth version.requirements.txtnewslynx-sc-example’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-example’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-example.Includes:make clean:Cleans out cruft from this directory.make install:Installsnewslynx-sc-example. Assumes that you’re in a
virtual environment.make 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_example/--format=rst>docs/sous-chefs.rst.make all_docs:Builds the sphinx docs fornewslynx-sc-exampleby
running the above two commands.make view_docsServes documentation atlocalhost:8000make register:Registersnewslynx-sc-exampleonPyPI.make distribute:Publishes a new version ofnewslynx-sc-exampleto PyPI.CONTRIBUTING.mdnewslynx_sc_examplenewslynx-sc-example’s source code and Sous Chef configuration
files.docsSphnix documentation fornewslynx-sc-exampletestsnosetests fornewslynx-sc-example