Saravanan666/pypi-org huggingface dataset:
Package: askcomm
askcomm: Python 3 module - Search patterns for event-based, community-detected twitter data.By Chris Lindgrenchris.a.lindgren@gmail.comDistributed under the BSD 3-clause license. See LICENSE.txt orhttp://opensource.org/licenses/BSD-3-Clausefor details.OverviewA set of search patterns that query a corpus of event-based and community-detected tweets, but it could be modified to query most social-network (node-edge) data. The queries are great for content produced within the detected-community subgraph data.It assumes you have:imported your corpus as a pandas DataFrame,included metadata information, such as a list of dates and list of groups to reorganize your corpus, andpre-processed your documents as community-detected data across periodic events.Functionsquery_controller: Accepts corpus and hub user data and searches for tweets germane to the detected module community across a range of periods and communities. It uses thefind_mentionsfunction to conduct a cross-reference search within a period's data range with 2 options: 'mentions_only' or 'user_and_mentions'. 'mentions_only' searches a column with a List of mentions per tweet. 'user_and_mentions' cross references the author  of a tweet with the list of mentions. It returns a Dict of top result tweets found during that period.query_controller(hubs=df_hubs,#community-detected datahub_col_period='period',#column name for periodshub_col_module='info_module',# column name for community namehub_col_users='name',#column name forperiod_range=[1,10],#range of desired periodsmodule_range=[1,10],#range of desired communities/modulescorpus=c_htg,#content corpusperiod_dates=period_dates,#List of lists with dates tocol_dates='dates'#column name for dates)convert_to_df: Converts the Dict output from query_controller into a Dataframe with top result per user. If no tweet found , appends as None.find_ht: Queries subset of isolated mentioned or authored tweets with hashtag group list. It returns another subset as a dataframe.find_links: Queries links in tweets with search string. It returns subset as a dataframe.Other functions include:find_mentionsandprint_subset.It functions only with Python 3.x and is not backwards-compatible.Warning: askcomm performs little to no custom error-handling, so make sure your inputs are formatted properly. If you have questions, please let me know via email.System requirementspandasInstallationDownload this repo onto your computer.Store the folder in a meaningful location.Open a terminal.In the terminal, navigate to the root of the folder.In the terminal, runpip install .Known Issues or LimitationsPlease contact me if you discover any issues.Example notebooksComing soon.Distribution update terminal commands# Create new distribution of code for archiving
sudo python setup.py sdist bdist_wheel

# Distribute to Python Package Index
python -m twine upload --repository-url https://upload.pypi.org/legacy/ dist/*
Package: askdata-api-python-client
Askdata python clientAskdata python client is a friendly Python library that helps developers, data scientists and engineers build and manage agent using Askdata platform.For more information, seeAskdata's website.Getting StartedGetting up and running with Askdata python client is easy. Install client frompypi:pipinstallaskdata_python_clientand access tutorials by typing:workinginprogresFor to use askdata client, you send us a request onContact usor for e-mail.
We'll send you as soon as possible your credentials to access.Get in TouchThere are several ways to get in touch with us:Contact usEmail us at:datascience@askdata.comEmail us at:info@askdata.com
Package: askedith
Natural Language Query Engine for PandasAskEdith is a data analytics question-answering system that can help you speed up your data analytics workflows. AskEdith converts your natural language questions into SQL queries that are used to return a computed DataFrame.How It WorksETL / Ingress - AskEdith ingresses data and parses schema and metadata.Semantic Search to relate relevant sections of data to the question.NLP Language Model to convert natural language to SQL.Execute on input DataFrame and return results.InstallationpipinstallaskedithUsageimportpandasaspdimportaskedith# Load Avocados Data (https://figshare.com/articles/dataset/avocado_csv/17696882)df=pd.read_csv("https://figshare.com/ndownloader/files/35259799")# Use AskEdithdf=df.askedith.ask("What's the average price for organic avocados?")print(df)Examples
Package: askelerator
# askeleratorA code skeleton generator for accelerated coding.## Getting StartedThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.### PrerequisitesIn order to run askelerator, you’ll needpython 3.7runing on your UNIX or GNU/Linux host. It has
not been tested against Windows or OSX yet.### Installingpip install askelerator### Quick runGo somewhere in your system and try to deploy test tree structure:` mkdir /tmp/askeleratest cd /tmp/askeleratest askelerator test `The programm will ask you for a class name. answer it and check it out:` tree . `## Running the testspython -m unittest discoverExplain how to run the automated tests for this system### Break down into end to end testsExplain what these tests test and why` Give an example `### And coding style testsExplain what these tests test and why` Give an example `## ContributingPlease read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c63ec426) for details on our code of conduct, and the process for submitting pull requests to us.## VersioningWe use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/your/project/tags).## AuthorsFx lesaffre-Initial work- [Fx](https://git.zrkf.pw/fx/)See also the list of [contributors](https://github.com/Zrkf/askelerator/contributors) who participated in this project.## LicenseThis project is licensed under the GPL v3 - SEE THE [LICENSE.MD](LICENSE.MD) FILE FOR DETAILS## ACKNOWLEDGMENTSHAT TIP TO ANYONE WHOSE CODE WAS USEDINSPIRATIONETC##
Package: asker
Nice multiple choice selection and more!See it at:pypiGitHubVERSIONDOWNLOADSTESTSCOVERAGEVarious ways to get user input from the command-line, including selecting
an item from a long list of choices by typing to filter.Quick Startfromaskerimportaskbest_choice=ask('Which one? ',choices=choices,labels=labels)LicenseCopyright (c) 2016 K.C.Saff (@kcsaff)Licensed underthe MIT license.
Package: askew3
ASKEW: Perspective transform along specified axesThis is pip installed version ofASKEW. The other version is the cli tool. The cli version has more features.Original AuthorHou-Ning Hu /@eborboihucPrerequisitesThe original repo(Unmaintained)This version is made for:Python3Rwquires:numpyOpenCVInstallationpip3installaskew3Usageimportaskew3it=askew3.ImageTransformer(img_path,height=height,width=width)it.skew(theta=0,phi=0,gamma=0,dx=0,dy=0,dz=0)# optional bg = (0,0,0) for background color (supply triplet)img=it.save(new_img_path)
Package: askfm-api
askfm-apiThis aims to be a powerful Python wrapper around the undocumented ASKfm API for its mobile apps.Currently based on reverse-engineering ASKfm Android app v4.67.1, which uses ASKfm API version 1.18.
The core logic is quite complete, but only a small subset of API methods have helpers in theaskfm_api.requestsmodule so far.Feature highlightsiterators for paginated requestsfull error hierarchy based on semanticsautomatic session refreshingUsageThe code should be self-explanatory so I won't go into great detail here. Quick example:fromaskfm_apiimportAskfmApi,AskfmApiErrorfromaskfm_apiimportrequestsasrtry:api=AskfmApi("<secret key>",device_id="D2A6C471C4B4DA5C")me=api.log_in("username","password")print(me)# {'uid': 'jgrdlgrd', 'fullName': 'Снег не растает', 'location': 'my empire of dirt', ...}qs=api.request_iter(r.fetch_questions())print(next(qs))# {'type': 'daily', 'body': 'Hi?', 'answer': None, 'author': None, 'qid': 153352, ...}res=api.request(r.post_answer(question_type="daily",question_id=153352,text="Hi there!"))print(res)# {'question': {...}, 'answer': {...}}exceptAskfmApiErrorase:print(e)# error code returned by the API, e. g. 'session_expired'Signing keyAll requests are signed using a secret key (unique per app version) that is stored inside the official app in an obfuscated manner.
I don't find it ethical to publish it, so if you want to use this library, your options are:extract the key by yourselfcontactme, explain your use case and ask for the keyTodofeat: Add more method helperstests: Add testsRelated work / See alsoa similar library (currently outdated):https://github.com/Hexalyse/pyAskFmblog post with a more in-depth explanation of reverse-engineering ASKfm API:https://hexaly.se/2017/06/14/how-i-reverse-engineered-the-ask-fm-api-part-1/ContributingAny activity is welcome, but I would be especially grateful if someone wrote tests for this code.
Package: askfmcrawler
# askfmcrawler[![PyPI Version](https://img.shields.io/pypi/v/askfmcrawler.svg)](https://pypi.python.org/pypi/askfmcrawler)Python askfm crawler.## Install```pipenv install askfmcrawler```## Requirements- Python 3.6 or higher- selenium## Usage```pythonfrom selenium import webdriverfrom askfmcrawler import Crawlerdriver = webdriver.Chrome('./chromedriver')crawler = Crawler(driver)# Crawl user questionsfor article in crawler.crawl_user_questions('uehara1414test', limit=20):print(article.question, " => ", article.answer)# 好きなデザートは？ => ガトーショコラ# 赤信号なのに道路を渡ることはある？ => ある# ...# Get random users and crawl questions of themfor user in crawler.crawl_random_users():for article in crawler.crawl_user_questions(user):print(user, article.question, " => ", article.answer)driver.quit()```## Test### Setup- Install requiremnts with `pipenv install --dev`- Place chromedriver to project root### Run tests```shpipenv run nosetests```
Package: askfm.py
askfm.pyAsk.fm crawlerWARNING: this library is no longer maintainedaskfm.py is no longer maintained. Please consider using other library if you want to crawl ask.fm.Install$ pip install askfm.pyExampleThis program shows recent 25 answers ofezoeryou.importaskfmcrawler=askfm.Crawler('ezoeryou')forpairincrawler.crawl():print(pair.question,'->',pair.answer)Documentaskfm.Crawler(username)Initializes ask.fm crawler.username: the username you want to crawl answers.askfm.Crawler.crawl(page)Fetches at most 25 answers and returns iterator of list of answers.page: the offset page. The default value is0, this means crawing at the top of answers.askfm.Crawler.pager(page)A generator that yieldsaskfm.Crawler.crawl(page)continuously.
Uses like this:# offset_page is givenforpageincrawler.pager(offset_page):forpairinpage:print(pair.question,pair.answer)page: the offset page. The default value is0, this means crawing at the top of answers.askfm.AnswersAn iterator of continuousaskfm.Pairobjects.askfm.PairAn object representing for pair of question and answer.
You can get them withaskfm.Pair.questionandaskfm.Pair.answer.
Package: askit
AskAIAsk OpenAI your question from the command line and get a response. Super janky right now.Installationpip install askitAdd API key first time useask api your-openai-key-goes-hereUsageask it "Is this a well formulated question for openAI?"NotesYou need to have your question in a string format, and you must end your question with a question mark or it won't work."Questions must look like this?"This is super janky. Feedback welcomed.
Package: askitsu
askitsuAn async wrapper for Kitsu.io API written in PythonIMPORTANT💡 UPDATE:The master branch is now in a status where it can be used.For any issue you may encounter, please make a newissue.You can check theprojectstab to see current progress.Key featuresFully typedUse ofasync/awaitSupport most of primary Kitsu entries -- Anime, Manga, Characters and much moreCan be used with discord botsCurrently avaiable endpoints🎞️ Anime (Anime, Episodes and Streaming Links)📖 Manga (Manga and Chapters)👥 Characters📰 Reviews👤 User (Profile and Profile Links)🗞️ Posts📚 User LibrariesComing soon:🗨️ CommentsInstallingRequires python 3.8+To install the package, you can simply run#Linux/MacOSpython3-mpipinstallaskitsu#Windowspy-3-mpipinstallaskitsuOr to get the latest dev version#Linux/MacOSpython3-mpipinstallgit+https://github.com/ShomyKohai/askitsu.git#Windowspy-3-mpipinstallgit+https://github.com/ShomyKohai/askitsu.gitRequirementsaiohttpcoloramaExamplesimportaskitsuimportasyncioasyncdefsearch():client=askitsu.Client()anime=awaitclient.search_anime("attack on titan")print(anime.episode_count)print(anime.status)awaitclient.close()loop=asyncio.get_event_loop()loop.run_until_complete(search())More examples can be found inside the example directory ->HereLinks & CreditsDocsPyPiKitsu.io Docsdiscord.py(bot example)"Kitsu" name and the "Kitsu logo" are property ofKitsu
Package: ask-jennie
Introductionpip3 install ask-jennieASK Jennie is an autobot that help developer to performing day to day task.For Eg :Let's sayA developer wants to create a team section for his webiste on angular.To Run the autobot install software and runjennieautobotoutputHi,Iamjennie,IamyourAssistantdeveloper.
Youcanaskmesay,Adds3toangularprojectforfileupload.ORSetupmydjangoproject.

ToexittheprogramanytimetypeexitViewcompletecheatsheetat:https://somelink.com
ProjectInfo:https://ask-jennie.com

>>Then you can ask jennie any kind of development help>> create a team section in angularA browser shall be opened with option to select required automationOnce user has selected the automation, the task shall be performed directly on user system>>createateamsectioninangularContinuetodownloadautomation.....DownloadingAutomation:jennieangularui-libdownloadteamsDownloadingAngularUIlibraryCreatedComponentui-lib/teamsAngularUIlibraryDownloadedSuccessfullyDeclarehtmlcomponenttouselibrary<app-teams></app-teams>
Package: ask-lang
AskIntroductionAsk is an open source, dynamic, and transpiled programming language built for building backends and APIs. Ask directly transpiles to Python, more specifically Flask.Feature HighlightsBuilt-in JWT Authentication.Super Simple Database Management.Syntax Inspired by Python.Built-in CORS Support.Reduces Boilerplate.Compatible with Python** = You can import external Python modules and call them from you Ask code.Easy to LearnAsk's syntax is heavily inspired by Python, and can almost be considered to be a superset of Python. This means that picking up Ask is super easy if you’re already familiar with Python.The main idea behind Ask is to simplify common backend actions (e.g. working with databases). Building a full database CRUD REST API with JWT authentication in Ask is very straight forward and simple and requires virtually zero lines of boilerplate code and no setup whatsoever.ExtendableAsk is a transpiled language (kind of like TypeScript) which means that it compiles the source code to another language that has a similar level of abstraction. In Ask's case, the target language is Python, more specifically a Flask app.Flask is a very popular and well-established web framework for Python, so there's already a lot of tools, and services for deploying Flask apps.The transpiled app is completely standalone and doesn't require Ask in any way.Installation (normal usage)You can install Ask from the PyPI. You can usepipbut we recommend that you usepipx.$ pipx install ask-lang.Then run your apps with:$ ask [your file].ask.Run locally (for development)Clone this repo:https://github.com/Buscedv/Ask.git.InstallPoetry.Create a new virtual environment:python3 venv venv.Activate it:source venv/bin/activate.Install dependencies:poetry install.(Optional but helpful in some cases) Run Ask in development mode:Docs.If you want to contribute please read the CONTRIBUTING.md file for code style, standards, etc.Example (Ask vs Flask)Here is the same basic app with one GET route written in Ask and in Python with Flask.Askproducts=[{name:'Product 1',price:30.0,qty:300},{name:'Product 2',price:15.5,qty:20}]@get('/api/v1/products'):respond({products:products})FlaskThis is what the same application would look like in Flask.fromflaskimportFlask,jsonifyapp=Flask(__name__)products=[{'name':'Product 1','price':30.0,'qty':300},{'name':'Product 2','price':15.5,'qty':20}]@app.route('/api/v1/products',methods=['GET'])defget_products():returnjsonify({'products':products})if__name__=='__main__':app.run()As you can see Ask hides away all the clutter and boilerplate.DocumentationYou can find the full documentation ondocs.ask.edvard.dev.ContactWebsite:ask.edvard.dev.Email:me(a)edvard.dev.GitHub:Buscedv.
Package: ask-lib
ask_libask_lib is a small Python package available on PyPi that lets you ask user's confirmation from aCLI.DocumentationYou can take a look tothe documentation, hosted by ReadTheDocs.FeaturesSimple API.No dependencies.Well tested.Featuring CI.Installpipinstallask_lib# Or, if you are using poetrypoetryaddask_libExamplesfromask_libimportask,AskResultto_remove="file.txt"ifask("Are you sure to delete this file ?",AskResult.NO):os.remove(to_remove)importosimportsysfromask_libimportask,AskResultyes_to_all=AskFlag.YES_TO_ALLif"-force"insys.argvelseNoneto_remove="file.txt"ifask("Are you sure to delete this file ?",flag=yes_to_all):os.remove(to_remove)
Package: asklora-portal
Asklora PortalShared utilities and helper classes used in Asklora projectsContentsClients for external services (MarketData, Broker, PriceData, DAMECAClient, DAMFBClient) and their supporting classes (DAM, pydantic models for xml serialising and de-serialising)Helper classes (SingletonMeta, ExtendedEnum, PGPHelper)Helper functions (deep_get, get_file_size, get_file_sha1)Information on specific sectionsBroker, PriceData and MarketData clientrequired .env config when importing theseBROKER_API_URL=brokerurlMARKET_API_URL=market urlBROKER_KEY=keyBROKER_SECRET=secretusagefromaskloraimportBrokerbroker=Broker()broker.create_account(...)or you can use our Portal class to get the specific modelimportaskloraportal=asklora.Portal()rest=portal.get_broker_client()# get a REST client for trade, user, position , ordermarketrest=portal.get_market_client()# get a REST client for market dataeventclient=portal.get_event_client()# get an event client for trade, user, position, orderPriceData (for IEX)required .env configIEX_API_URLIEX_TOKENusagefromaskloraimportPriceDataprice_data=PriceData()price_data.get_lastestPrice("MSFT")DAMECAClient and DAMFBClientrequired .env configDAM_URLDAM_CSIDusageFor these clients, you can find the Pydantic models needed by some of the class methods in themodelsandenumsmodule.for example, in theDAMECAClient, in thegenerate_application_payloadmethod, the first argument acceptsDAMApplicationPayloadmodel that will automatically processed to xml the API endpoint needs.examplesDAMECAClientfromaskloraimportDAMECAClient,PGPHelperfromasklora.modelsimportDAMApplicationPayloadclient=DAMECAClient()# Build payloadpayload=DAMApplicationPayload(user_id=56,first_name="Jane",last_name="Smith",...)# Needed for encryptionpgp_helper=PGPHelper(private_key_path=...,public_key_path=...,remote_public_key_path=...,)# Send the requestclient.create_account(payload,pgp_helper=pgp_helper)DAMFBClientfromaskloraimportDAMFBClient,PGPHelperfromasklora.modelsimportInstructionSet,InternalCashTransfer,CancelTransactionclient=DAMFBClient()instruction_set=InstructionSet(instructions=[InternalCashTransfer(id=4,source="U199516",destination="U34516",amount=1000,currency="USD",),CancelTransaction(id=5,ib_instr_id="3",reason="Wrong destination",),])pgp_helper=PGPHelper(private_key_path=...,public_key_path=...,remote_public_key_path=...,)client.create_instruction(instruction_set,pgp_helper=pgp_helper)# if needed, you can also send xml directlypayload="""<?xml version="1.0" encoding="UTF-8"?><instruction_setxmlns="http://www.interactivebrokers.com/fbfb_instruction_set"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://www.interactivebrokers.com/fbfb_instruction_set fbfb_instruction_set.xsd "creation_date="2019-01-11" id="2450" version="1"><close_account id="2450"><client_ib_acct_id>U1234567</client_ib_acct_id><close_reason> No longer needed </close_reason></close_account></instruction_set>"""client.create_instruction(payload,pgp_helper=pgp_helper)BothYou can also initialise one or both of the classes above like this:fromaskloraimportIBClienteca_client=IBClient.get_ECA_client()fb_client=IBClient.get_FB_client()
Package: askme
# AskMe-Python[![Build Status](https://travis-ci.org/pirsquare/askme-python.svg?branch=master)](https://travis-ci.org/pirsquare/askme-python)AskMe Python Client## Use Case[See use case](https://github.com/pirsquare/askme#use-case)## Installationpip install askme## Usage```shellOptions:-h, --help                   output usage information-f, --fields <fields>        Specified fields to retrieve (comma-seperated)-d, --delimiter <delimiter>  Delimiter (default is " | " with spaces)-o, --omit-columns           Omit Columns```## Examples```shell# Get list of digitalocean's supported distribution image.# In this case, we are querying for digitalocean's "dist-image" recordaskme do dist-imageOutput:Id: centos-5-8-x32   | Description: Centos 5.8 32bitId: centos-5-8-x64   | Description: Centos 5.8 64bitId: centos-6-5-x32   | Description: Centos 6.5 32bitId: centos-6-5-x64   | Description: Centos 6.5 64bitId: centos-7-0-x64   | Description: Centos 7.0 64bitId: coreos-alpha     | Description: CoreOS AlphaId: coreos-beta      | Description: CoreOS BetaId: coreos-stable    | Description: CoreOS StableId: debian-6-0-x32   | Description: Debian 6.0 32bitId: debian-6-0-x64   | Description: Debian 6.0 64bitId: debian-7-0-x32   | Description: Debian 7.0 32bitId: debian-7-0-x64   | Description: Debian 7.0 64bitId: debian-8-x32     | Description: Debian 8 32bitId: debian-8-x64     | Description: Debian 8 64bitId: fedora-21-x64    | Description: Fedora 21 64bitId: fedora-22-x64    | Description: Fedora 22 64bitId: freebsd-10-1-x64 | Description: FreeBSD 10.1 64bitId: freebsd-10-2-x64 | Description: FreeBSD 10.2 64bitId: ubuntu-12-04-x32 | Description: Ubuntu 12.04 32bitId: ubuntu-12-04-x64 | Description: Ubuntu 12.04 64bitId: ubuntu-14-04-x32 | Description: Ubuntu 14.04 32bitId: ubuntu-14-04-x64 | Description: Ubuntu 14.04 64bitId: ubuntu-15-04-x32 | Description: Ubuntu 15.04 32bitId: ubuntu-15-04-x64 | Description: Ubuntu 15.04 64bit# Omit columns and only show idsaskme do dist-image -o --fields="id"Output:centos-5-8-x32centos-5-8-x64centos-6-5-x32centos-6-5-x64centos-7-0-x64coreos-alphacoreos-betacoreos-stabledebian-6-0-x32debian-6-0-x64debian-7-0-x32debian-7-0-x64debian-8-x32debian-8-x64fedora-21-x64fedora-22-x64freebsd-10-1-x64freebsd-10-2-x64ubuntu-12-04-x32ubuntu-12-04-x64ubuntu-14-04-x32ubuntu-14-04-x64ubuntu-15-04-x32ubuntu-15-04-x64# Change delimiter value. Query google compute engine's supported disk typeaskme gcloud gce-disk-type --delimiter=" || "Output:Id: local-ssd   || Description: Local SSDsId: pd-ssd      || Description: SSD Persistent DiskId: pd-standard || Description: Standard Persistent Disk```## Supported fields[See supported fields](https://github.com/pirsquare/askme#supported-fields)## Supported records[See supported records](https://github.com/pirsquare/askme#aws)## NoteDo not modify `source` directory. We use git subtree to push source data to source directory. If you want submit PR for changes in source data, submit it at [AskMe main repo](https://github.com/pirsquare/askme).
Package: ask-me-something
Ask Me SomethingA speech to text library.Installpip3 install ask-me-somethingUsingThe ask function prints and returns the recognized contentIn another scriptfromask_me_somethingimportask# ask(text = "Say something to mic", language = "en-en")ask()In command line-h, --help            show this help message and exit-l LANGUAGE, --language LANGUAGELanguageask