Saravanan666/pypi-org huggingface dataset:
Package: rise
RISERISE allows you to instantly turn your Jupyter Notebooks into a
slideshow. No out-of-band conversion is needed, switch from jupyter
notebook to a livereveal.js-based slideshow in a single keystroke,
and back.ResourcesRISE stands forReveal.js - Jupyter/IPython Slideshow Extension:Demo notebook (no installation required)Source code is on githubhttps://github.com/damianavila/RISEDocumentation is hosted on readthedocsChat room on gitterVideos on youtubebasic usage (4'30'')https://youtu.be/sXyFa_r1nxAInstallationYou essentially have 2 options:Option 1 - Using conda:conda install -c conda-forge riseOption 2 - Using pip:pip install RISEDevelopmentTo install RISE in development mode, see theDeveloper sectionof the RISE
documentation.FeedbackIf you have any feedback, or find any bugs, please let us know just opening an issue.Support usPlease visit this page for more information:https://rise.readthedocs.io/en/stable/support.html
Package: risefor-lobbying
# SynopsisRisefor-Lobbying is a package for DjangoLDP that provides the models and behaviour to run a site which manages public lobbying initiatives. Allowing you to federate with other providers to achieve the maximum users for lobbying government# RequirementsPython 3.6Django (known to work with Django 1.11, latest version updated to Django 2.2.16)DjangoLDPDjango Rest Frameworkpylddjango-guardiandjangorestframework-guardian# Installation1. Install DjangoLDP
TODO2. Install Sib-Manager CLI
TODO3. Add as a package
TODO4. Install package
TODO## User model requirementsWhen implementing authentication in your own application, you have two options:Using or extending [DjangoLDP-Account](https://git.startinblox.com/djangoldp-packages/djangoldp-account), a DjangoLDP package modelling federated usersUsing your own user model & defining the authentication behaviour yourselfPlease see the [Authentication guide](https://git.startinblox.com/djangoldp-packages/djangoldp/wikis/guides/authentication) for full informationIf you’re going to use your own model then your user model must extendDjangoLDP.Model, or define aurlidfield on the user model, for example:`python urlid = LDPUrlField(blank=True, null=True, unique=True) `Theurlidfield is used to uniquely identify the user and is part of the Linked Data Protocol standard. For local users it can be generated at runtime, but for some resources which are from distant servers this is required to be stored# TestingPackaged with Risefor-Lobbying is a tests module, containing unit testsYou can extend these tests and add your own test cases by following the examples in the code. You can then run your tests with:python -m unittest tests.runner
Package: risei18n0
# RISERISE allows you to instantly turn your Jupyter Notebooks into a
slideshow. No out-of-band conversion is needed, switch from jupyter
notebook to a livereveal.js-based slideshow in a single keystroke,
and back.![Basic usage](https://media.giphy.com/media/3oxHQtTxAaZwMOHr9u/giphy.gif)## Resources
RISE stands for*Reveal.js - Jupyter/IPython Slideshow Extension*:Demo notebook (no installation required)
* [![](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/parmentelat/RISE.git/doc2?filepath=examples%2FREADME.ipynb)Source code is on github <https://github.com/damianavila/RISE>
* [![Issues](http://img.shields.io/github/issues/damianavila/RISE.svg)](https://github.com/damianavila/RISE/issues)Documentation is hosted on readthedocs
* [![doc status](https://readthedocs.org/projects/rise/badge)](http://rise.readthedocs.io/)
* Note / check out another location here that is planned to be phased out: <https://damianavila.github.io/RISE/>Chat room on gitter
* [![Gitter chat](https://badges.gitter.im/damianavila/RISE.png)](https://gitter.im/damianavila/RISE“Gitter chat”)Videos on youtube
* basic usage (4’30’’)<https://youtu.be/sXyFa_r1nxA>## InstallationFrom the most simple to the most complex one, you have 3 options:### Option 1 - Using conda (recommended):` conda install-cdamianavila82 rise `If you are a Julia user, you can do this from the Julia REPL with` using CondaConda.add_channel("damianavila82")Conda.add("rise")`### Option 2 - Using pip (less recommended):` pip install RISE `and then one more step to install the JS and CSS in the proper places:`jupyter-nbextensioninstall rise--py--sys-prefix`As of version 5.3.0, it isno longer requiredto explicitly enable
the nbextension, which you would do with`jupyter-nbextensionenable rise--py--sys-prefix`### Option 3 - The old way (are sure sure you want to go this path?):To install this nbextension, simply runpython setup.py installfrom theRISErepository (please use the latest tag available or try master if you want).And then the same step as described in the pip-based installation:`jupyter-nbextensioninstall rise--py--sys-prefix`### ConclusionIf you use conda, life will be easy ;-)NOTE: in all the options available the–sys-prefixoption will install and
enable the extension in the current environment, if you want a–userbased or a–systembased installation just use those options instead in the above commands.## DevelopmentTo install RISE in development mode, see the
[Developer section](https://damianavila.github.io/RISE/dev/develop.html) of the RISE
documentation.## FeedbackIf you have any feedback, or find any bugs, please let me know just opening
an issue.
Package: risei18np
# RISERISE allows you to instantly turn your Jupyter Notebooks into a
slideshow. No out-of-band conversion is needed, switch from jupyter
notebook to a livereveal.js-based slideshow in a single keystroke,
and back.![Basic usage](https://media.giphy.com/media/3oxHQtTxAaZwMOHr9u/giphy.gif)## Resources
RISE stands for*Reveal.js - Jupyter/IPython Slideshow Extension*:Demo notebook (no installation required)
* [![](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/parmentelat/RISE.git/doc2?filepath=examples%2FREADME.ipynb)Source code is on github <https://github.com/damianavila/RISE>
* [![Issues](http://img.shields.io/github/issues/damianavila/RISE.svg)](https://github.com/damianavila/RISE/issues)Documentation is hosted on readthedocs
* [![doc status](https://readthedocs.org/projects/rise/badge)](http://rise.readthedocs.io/)
* Note / check out another location here that is planned to be phased out: <https://damianavila.github.io/RISE/>Chat room on gitter
* [![Gitter chat](https://badges.gitter.im/damianavila/RISE.png)](https://gitter.im/damianavila/RISE“Gitter chat”)Videos on youtube
* basic usage (4’30’’)<https://youtu.be/sXyFa_r1nxA>## InstallationFrom the most simple to the most complex one, you have 3 options:### Option 1 - Using conda (recommended):` conda install-cdamianavila82 rise `If you are a Julia user, you can do this from the Julia REPL with` using CondaConda.add_channel("damianavila82")Conda.add("rise")`### Option 2 - Using pip (less recommended):` pip install RISE `and then one more step to install the JS and CSS in the proper places:`jupyter-nbextensioninstall rise--py--sys-prefix`As of version 5.3.0, it isno longer requiredto explicitly enable
the nbextension, which you would do with`jupyter-nbextensionenable rise--py--sys-prefix`### Option 3 - The old way (are sure sure you want to go this path?):To install this nbextension, simply runpython setup.py installfrom theRISErepository (please use the latest tag available or try master if you want).And then the same step as described in the pip-based installation:`jupyter-nbextensioninstall rise--py--sys-prefix`### ConclusionIf you use conda, life will be easy ;-)NOTE: in all the options available the–sys-prefixoption will install and
enable the extension in the current environment, if you want a–userbased or a–systembased installation just use those options instead in the above commands.## DevelopmentTo install RISE in development mode, see the
[Developer section](https://damianavila.github.io/RISE/dev/develop.html) of the RISE
documentation.## FeedbackIf you have any feedback, or find any bugs, please let me know just opening
an issue.
Package: risesdk
# RISE Python SDKPython library that provides APIs for interacting with the RISE blockchain.## Getting startedThe simplest way to get started is to use pip to install this library:```pip install risesdk```The Python APIs are (mostly) strongly typed to help your IDE help you write code faster.Here's a very simple program that prints out the current height of the chain:```pythonfrom risesdk import Clientapi = Client('https://wallet.rise.vision/api/')status = api.blocks.get_status()print('Chain height: {}'.format(status.height))```For more complete examples check out the [examples/](https://github.com/RiseVision/rise-py/tree/master/examples) directory.
Package: rising-plugin
RisingPluginIt is a plugin for the goal of this project is to develop a phone operating system that replaces the traditional UI of an Android-based smartphone with ChatGPT. The AI will manage control of all apps via plugins, which can be prompted by the user.Develop a langchain plugin that sends Android system notifications to the user. Should be able to use a langchain agent.
Allow user to launch browser app on a specific webpage or to search an image , and others more.
Package: risingwave
RisingWave Python UDF SDKThis library provides a Python SDK for creating user-defined functions (UDF) inRisingWave.For a detailed guide on how to use Python UDF in RisingWave, please refer tothis doc.IntroductionRisingWave supports user-defined functions implemented as external functions.
With the RisingWave Python UDF SDK, users can define custom UDFs using Python and start a Python process as a UDF server.
RisingWave can then remotely access the UDF server to execute the defined functions.InstallationpipinstallrisingwaveUsageDefine functions in a Python file:# udf.pyfromrisingwave.udfimportudf,udtf,UdfServerimportstructimportsocket# Define a scalar function@udf(input_types=['INT','INT'],result_type='INT')defgcd(x,y):whiley!=0:(x,y)=(y,x%y)returnx# Define a scalar function that returns multiple values (within a struct)@udf(input_types=['BYTEA'],result_type='STRUCT<VARCHAR, VARCHAR, SMALLINT, SMALLINT>')defextract_tcp_info(tcp_packet:bytes):src_addr,dst_addr=struct.unpack('!4s4s',tcp_packet[12:20])src_port,dst_port=struct.unpack('!HH',tcp_packet[20:24])src_addr=socket.inet_ntoa(src_addr)dst_addr=socket.inet_ntoa(dst_addr)returnsrc_addr,dst_addr,src_port,dst_port# Define a table function@udtf(input_types='INT',result_types='INT')defseries(n):foriinrange(n):yieldi# Start a UDF serverif__name__=='__main__':server=UdfServer(location="0.0.0.0:8815")server.add_function(gcd)server.add_function(series)server.serve()Start the UDF server:python3udf.pyTo create functions in RisingWave, use the following syntax:createfunction<name>(<arg_type>[,...])[returns<ret_type>|returnstable(<column_name><column_type>[,...])]as<name_defined_in_server>usinglink'<udf_server_address>';Theasparameter specifies the function name defined in the UDF server.Thelinkparameter specifies the address of the UDF server.For example:createfunctiongcd(int,int)returnsintasgcdusinglink'http://localhost:8815';createfunctionseries(int)returnstable(xint)asseriesusinglink'http://localhost:8815';selectgcd(25,15);select*fromseries(10);Data TypesThe RisingWave Python UDF SDK supports the following data types:SQL TypePython TypeNotesBOOLEANboolSMALLINTintINTintBIGINTintREALfloatDOUBLE PRECISIONfloatDECIMALdecimal.DecimalDATEdatetime.dateTIMEdatetime.timeTIMESTAMPdatetime.datetimeINTERVALMonthDayNano / (int, int, int)Fields can be obtained bymonths(),days()andnanoseconds()fromMonthDayNanoVARCHARstrBYTEAbytesJSONBanyT[]list[T]STRUCT<>tuple...othersNot supported yet.
Package: riskalphaindics
RiskalphaindicsDescriptionThis Python package provides functionality to calculate various financial indicators such as Moving Average, Exponential Moving Average (EMA), Relative Strength Index (RSI), Average True Range (ATR), and Moving Average Convergence Divergence (MACD). It's designed for financial market analysis and algorithmic trading strategies.InstallationTo install this package, ensure you have Poetry installed on your system. If you don't have Poetry, you can install it using pip:pip install poetryThen, you can install this package using Poetry:poetry add riskalphaindicsUsageBelow are some examples of how to use the indicators in this package.Moving Averagefrom riskalphaindics import moving_average

# Assuming 'data' is a pandas DataFrame with a 'close' column
ma = moving_average(data, window=20)Exponential Moving Averagefrom riskalphaindics import exponential_moving_average

# Assuming 'data' is a pandas DataFrame with a 'close' column
ema = exponential_moving_average(data, window=20)Relative Strength Indexfrom riskalphaindics import relative_strength_index

# Assuming 'data' is a pandas DataFrame with a 'close' column
rsi = relative_strength_index(data, periods=14)Average True Rangefrom riskalphaindics import average_true_range

# Assuming 'data' is a pandas DataFrame with 'high', 'low', and 'close' columns
atr = average_true_range(data, window=14)Moving Average Convergence Divergencefrom riskalphaindics import moving_average_convergence_divergence

# Assuming 'data' is a pandas DataFrame with a 'close' column
macd, signal_line = moving_average_convergence_divergence(data, window_slow=26, window_fast=12, signal=9)ContributingContributions to this package are welcome. Please fork the repository and submit a pull request with your proposed changes.LicenseMIT.
Package: riskcontrol
Copyright (c) 2019 The Python Packaging AuthorityThe package is used for risk control modeling in Python.
It mainly provides some basic and commonly data analysis methods for partners who want to learn Python data analysis or machine learning in the Internet financial industry.
It also contains a large number of solutions to the problems encountered by the authors in their daily work.
I hope you can actively use it.
If you have any questions, please contact me athsliu_em@126.com.riskcontrolRiskcontrol is used for risk control modeling in Python.It provides intuitive tools forfeature information-value (iv)plot bad rate of bins based on decision treeks plotfeature info describe for external data validation(contain missing analysis)CUT_BINtwo feature heat map for cross analysislogistic credit cardgps near geohash codinginstallpip install riskcontrolUsageimportriskcontrolasrcimportpandasaspddata=pd.read_csv('test.csv')rc.feature_miss_ana(data)# data analysis reportcolcol_typeiv...mode_vmode_pectmode_bad_raterisk_monotonicityiosfloat640.0273...00.5289960.054911强sex_mfloat640.0486...10.7233110.053726强agefloat640.0408...220.0954230.053391弱incomefloat640.0302...1000000.1474880.041681弱edufloat640.0367...00.8282860.051514强freeramfloat640.0087...4828640.0001040.125无joblevelfloat640.0411...40.3831980.056743强miss_bad_rate:缺失值对应的bad_ratenotnull_bad_rate：非缺失值对应的bad_ratezero_pect：0值占比zero_bad_rate：0值bad_ratemode_v：众数mode_pect：众数占比mode_bad_rate：众数对应的bad_raterisk_monotonicity：分箱后的逾期单调性rc.split_box_plot_new(data,col_name)# bins bad rate plotrc.create_geohash(latitude,longitude,radius,precision)
Package: riskflow
RiskFlowAn xVA quantitative library written in pure python using pytorchInstallationThe easiest way to install riskflow is via pippip install riskflowThe minimum required version is pytorch 1.8. It is highly recommended to install pytorch with gpu support.
Downloading the source and running setup also works.python setup.py installDocumentationDocumentation is available atreadthedocs.UsageThere are 2 batch scripts installed :RF_Batch runs CVA, CollVA and FVA calculations on a folder of netting setsRF_Bootstrap currently only calculates hull white 2 factor parameters from swaption volsKnown issuesDocumentation is out of date
Package: riskhub
Features- it's a fetching and Gathering a URLs to any domains ;
- reduce a timing for Gathering a URLs ;
- it's takeing milliseconds for fetching and Gathering a URLs ; 
- Support Module Loader, and Custom/define editor plugins;
- Support identification, interpretation for fetching URLsrequirement to install ..`$ pip3 install riskhub`Follow your heart.I recommends do both install pip and pip3 ..`$ pip install riskhub`COMMAND (help)..' riskhub -h 'OUTPUT COMMAND >> ' use >> this one 'COMMAND (OUTPUT)..' riskhub -d https://example.com/ >> output.txt 'COMMAND (domain)..' riskhub -d https://example.com/ 'COMMAND (list of urls) ..' riskhub -f urls.txt 'COMMAND (domain with threads)..' riskhub -d https://example.com/ -t 100'COMMAND (domain with multiplex)..'riskhub -d https://example.com/ -t 100 -m {proxy}'instagram >> "@sabarishh4ck3r","END",
Package: riskmatrix
RiskmatrixA package to deal with risk matrix data.Free software: GNU General Public License v3Documentation:https://riskmatrix.readthedocs.io.FeaturesTODOCreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.History0.0.3 (2019-07-15)First release on PyPI.
Package: risk-modeling-tools
Risk Modeling ToolsAn awesome README template to jumpstart your projects!Explore the docs »View Demo·Report Bug·Request FeatureTable of ContentsAbout The ProjectBuilt WithGetting StartedPrerequisitesInstallationUsageRoadmapContributingLicenseContactAcknowledgmentsAbout The ProjectThere are many great libraries providing credit risk analysis tools on github.However, I couldn't find one that can cover all my needs. Hope you'll find it useful for your projects.Here are the tools available in the library:Binning tool for both categorical and numerical featuresFeature selection tool for linear regressionBasic optimization algorithms for credit portfolio managementBuilt WithHere are the libraries used for the project.numpypandasscikit-learn(back to top)Getting StartedPrerequisitesFor using the library you need the following thingspython 3install pip or clone the git repositoryInstallationBellow is the installation command using pippipinstallrisk-modeling-tools(back to top)UsageThe library may be used for scoring models developing and credit risk analysis(back to top)RoadmapAdd ChangelogAdd Additional Templates w/ ExamplesSee theopen issuesfor a full list of proposed features (and known issues).(back to top)ContributingContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make aregreatly appreciated.If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!Fork the ProjectCreate your Feature Branch (git checkout -b feature/AmazingFeature)Commit your Changes (git commit -m 'Add some AmazingFeature')Push to the Branch (git push origin feature/AmazingFeature)Open a Pull Request(back to top)LicenseDistributed under the MIT License. SeeLICENSE.txtfor more information.(back to top)ContactMikhail Gritskikh -@m_gritskikh-m.gritskikh@gmail.comProject Link:https://github.com/mgrts/risk_modeling_tools(back to top)AcknowledgmentsSome useful links for better understandingScore CardsWoE and IV(back to top)Change Log0.0.1 (12/05/2021)First Release
Package: risk-model-tool
risk_model_toolThis is a package help analyzing, preprocessing, and modeling in credit default projects.Installation$pipinstallrisk_model_toolUsageThe whole package is consisted of 4 parts:analysis,preprocess,model,utils.analysis:preprocess:model:utils:Doc of UtilsContributingInterested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.Licenserisk_model_toolwas created by Wenjia Zhu, Jianhong Jiang, Jingcheng Qiu. It is licensed under the terms of the MIT license.Creditsrisk_model_toolwas created withcookiecutterand thepy-pkgs-cookiecuttertemplate.
Package: riskscore
riskscoreriskscore程序包，为用于开发信用评分卡或机器学习模型而专门撰写的程序包，也可以用它来开发营销评分等任何需要用到类似方法的评分。安装包pipinstallriskscore使用包fromriskscoreimportcreditscoreascsfromriskscoreimportmechinelearningasmcl更多信息建模详细代码及指引，请见https://mp.weixin.qq.com/s/SGK_dGW6TSzm_wmaOlAyQw
Package: riskybusiness
Analyse the risk of a business using Risky BusinessFunctions :Sharpe RatioReturns & VolatilityRisk by Return RatioCompounded PercentageAnnual DrawdownSkewness & KurtosisValue Added Risk (VaR - Historic, Gaussian, Cornish-Fisher)CVaR - HistoricVaR Comparison PlotImportant: Please read theDOCUMENTATIONfile before implementing any of the functions.InstallationUse the package managerpipto install riskybusinesspipinstallriskybusinessUsageimportriskybusinessasrbrb.FunctionName(dataset=Your_Dataset)Make sure the dataset is loaded using pandas with the necessary columns.A sample program using all the functions is displayed in risky.ipynbOpen using Jupyter NB or Google ColabThis file contains the output samples of all the functions present in the library.github linkContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.LicenseMIT
Package: rison
python-rison is, not surprisingly, a Rison parser for Python.Rison is a data serialization format optimized for compactness in URIs. Rison is a
slight variation of JSON that looks vastly superior after URI encoding. Rison still
expresses exactly the same set of data structures as JSON, so data can be translated
back and forth without loss or guesswork.Seehttp://mjtemplate.org/examples/rison.htmlto learn more.Rison URLs look like this:http://example.org/example-resource?a=(key:val,key2:val2)&b=!(a,list,of,values)O-Rison and A-Rison shortcuts make these URLs cleaner still. If you know beforehand which
data type an argument will receive, you can use O-Rison for objects and A-Rison for arrays,
and leave off the () and !() syntax respectively:http://example.org/example-resource?a=key:val,key2:val2&b=a,list,of,valuesCurrent version may not work with unicode URLs.
Package: rist
pyristPython binding forlibristThis project is fully funded by [Mad Resistor LLP][https://madresistor.com/].pip install ristIt will use system installedlibrist.soorlibrist.dllor useLD_LIBRARY_PATH.Goal and FeaturesThe goal of this project is to provide an easy to use python interface over librist.It supports all features of librist.DependenciescffienumLicensepyristis released under a very liberal license, a contrario from the other VideoLAN projects, so that it can be embedded anywhere, including non-open-source software; or even drivers, to allow the creation of hybrid decoders.The reasoning behind this decision is the same as for libvorbis, seeRMS on vorbis.RoadmapThe plan is the following:ReachedWorking with librist.On-goingWrite tutorials and comprehensive documentation.Test on most platformsContributeCurrently, we are looking for help from:Python developertesters.Our contributions guidelines are quite strict. We want to build a coherent codebase to simplify maintenance and achieve the highest possible speed.Notably, the codebase is in pure Python.We are on Telegram, on the rist_users and librist_developers channels.See thecontributions document.CLAThere is no CLA.VideoLAN will only have the collective work rights.CoCTheVideoLAN Code of Conductapplies to this project.Installpython setup.py installSupportThis project is fully funded by [Mad Resistor LLP][https://madresistor.com/].This company can provide support and integration help, should you need it.FAQCan I help?Yes. See thecontributions document.I am not a developer. Can I help?Yes. We need testers, bug reporters, and documentation writers.What about the packet recovery patents?This code was written to comply with the Video Services Forum (VSF) Technical Recommendations TR-06-1 and TR-06-2 and as such is free of any patent royalty paymentsWill you care about <my_arch>? <my_os>?Yes, as long as you can install Python and librist, you are good to go!How can I test it?You can use theexample/code.