Saravanan666/pypi-org huggingface dataset:
Package: juntagrico
[![image](https://github.com/juntagrico/juntagrico/actions/workflows/juntagrico-ci.yml/badge.svg?branch=main&event=push)](https://github.com/juntagrico/juntagrico/actions/workflows/juntagrico-ci.yml)
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[![image](https://img.shields.io/pypi/v/juntagrico.svg)](https://pypi.python.org/pypi/juntagrico)
[![image](https://img.shields.io/pypi/l/juntagrico.svg)](https://pypi.python.org/pypi/juntagrico)
[![image](https://img.shields.io/pypi/pyversions/juntagrico.svg)](https://pypi.python.org/pypi/juntagrico)
[![image](https://img.shields.io/pypi/status/juntagrico.svg)](https://pypi.python.org/pypi/juntagrico)
[![image](https://img.shields.io/pypi/dm/juntagrico.svg)](https://pypi.python.org/pypi/juntagrico/)
[![image](https://img.shields.io/github/last-commit/juntagrico/juntagrico.svg)](https://github.com/juntagrico/juntagrico)
[![image](https://img.shields.io/github/commit-activity/y/juntagrico/juntagrico)](https://github.com/juntagrico/juntagrico)
[![Requirements Status](https://requires.io/github/juntagrico/juntagrico/requirements.svg?branch=main)](https://requires.io/github/juntagrico/juntagrico/requirements/?branch=main)the easy solution for cooperative vegetable growersjuntagrico is a management platform for community gardens and vegetable
cooperatives.It provides the basic functionality likesubscription managementextra subscription managementmanagement of sharesdelivery managementmanagement of membersDetailed documentation how to install and configure juntagrico can be
found here <http://juntagrico.readthedocs.io>Demo can be found here <https://demo.juntagrico.science/> The
username is “admin” and the password is “admin” too. Please do not
change the password![![image](http://forthebadge.com/images/badges/made-with-python.svg)](https://www.python.org/)
[![image](http://forthebadge.com/images/badges/built-with-love.svg)](https://forthebadge.com)
[![image](http://forthebadge.com/images/badges/powered-by-black-magic.svg)](https://forthebadge.com)
Package: juntagrico-badges
juntagrico-badgesAdd badges to members in juntagrico.This is an extension for juntagrico. You can find more information about juntagrico here
(https://github.com/juntagrico/juntagrico)FeaturesBadges can be added in the data administrationMembers have a new menu "Badges" where they can see their assigned badgesThe admin can configure for each badge if members can assign them themselvesThe Admin can see a list of all members having badges which he can filter and send emails to matching membersInstallationInstall juntagrico-badge viapip$ pip install juntagrico-badgesor add it in your projectsrequirements.txtInsettings.pyadd'juntagrico_badges',.INSTALLED_APPS=[...'juntagrico','juntagrico_badges',]In yoururls.pyyou also need to extend the pattern:urlpatterns=[...path('',include('juntagrico_badges.urls')),]
Package: juntagrico-calendar
# calendarThis is an extension for juntagrico. You can find more information about juntagrico here
(https://github.com/juntagrico/juntagrico)For more information information about how to install this app hop over to the doc section of the repo.## Release Notes## 1.4Upgrade to Juntagrico 1.4### 1.4.1Compatibility to Juntagrico 1.4.6## 1.5Compatibility to Juntagrico 1.5Fix strike through on cancelled jobs in agenda view### 1.5.1Fix job submenu
Package: juntagrico-custom-sub
juntagrico-custom_subThis is an extension for juntagrico. You can find more information about juntagrico here (https://github.com/juntagrico/juntagrico).This extension provides support for custom composition of subscriptions.
Each user can select the amount of predefined products in his or her subscription.
A subscription has a total amount of available units and each product can be assigned a size in these units.The extension also creates depot lists and packing lists that describe which products should be delivered to a depot and by which user they should be collected.InstallationInstall juntagrico-badge viapip$ pip install juntagrico-custom-subor add it in your projectsrequirements.txtInsettings.pyadd'juntagrico_custom_sub',.INSTALLED_APPS=[...'juntagrico','juntagrico_custom_sub',]In yoururls.pyyou also need to extend the pattern:urlpatterns=[...path('',include('juntagrico_custom_sub.urls')),]
Package: juntagrico-pg
# juntagrico-pg[![juntagrico-ci](https://github.com/juntagrico/juntagrico-pg/actions/workflows/juntagrico-ci.yml/badge.svg?branch=main&event=push)](https://github.com/juntagrico/juntagrico-pg/actions/workflows/juntagrico-ci.yml)
[![Maintainability](https://api.codeclimate.com/v1/badges/02bb5f131cc157fcc4b9/maintainability)](https://codeclimate.com/github/juntagrico/juntagrico-pg/maintainability)
[![Test Coverage](https://api.codeclimate.com/v1/badges/02bb5f131cc157fcc4b9/test_coverage)](https://codeclimate.com/github/juntagrico/juntagrico-pg/test_coverage)
[![image](https://img.shields.io/pypi/v/juntagrico-pg.svg)](https://pypi.python.org/pypi/juntagrico-pg)
[![image](https://img.shields.io/pypi/l/juntagrico-pg.svg)](https://pypi.python.org/pypi/juntagrico-pg)
[![image](https://img.shields.io/pypi/pyversions/juntagrico-pg.svg)](https://pypi.python.org/pypi/juntagrico-pg)
[![image](https://img.shields.io/pypi/status/juntagrico-pg.svg)](https://pypi.python.org/pypi/juntagrico-pg)
[![image](https://img.shields.io/pypi/dm/juntagrico-pg.svg)](https://pypi.python.org/pypi/juntagrico-pg/)
[![image](https://img.shields.io/github/last-commit/juntagrico/juntagrico-pg.svg)](https://github.com/juntagrico/juntagrico-pg)
[![image](https://img.shields.io/github/commit-activity/y/juntagrico/juntagrico-pg)](https://github.com/juntagrico/juntagrico-pg)
[![Requirements Status](https://requires.io/github/juntagrico/juntagrico-pg/requirements.svg?branch=main)](https://requires.io/github/juntagrico/juntagrico-pg/requirements/?branch=main)postgres db editor for juntagrico.This is an extension for juntagrico. You can find more information about juntagrico here
(https://github.com/juntagrico/juntagrico)For more information information about how to install this app hop over to the doc section of the repo.
Package: juntagrico-webdav
# juntagrico-webdav[![juntagrico-ci](https://github.com/juntagrico/juntagrico-webdav/actions/workflows/juntagrico-ci.yml/badge.svg?branch=main&event=push)](https://github.com/juntagrico/juntagrico-webdav/actions/workflows/juntagrico-ci.yml)
[![Maintainability](https://api.codeclimate.com/v1/badges/a597b9f0d54b836f1b46/maintainability)](https://codeclimate.com/github/juntagrico/juntagrico-webdav/maintainability)
[![Test Coverage](https://api.codeclimate.com/v1/badges/a597b9f0d54b836f1b46/test_coverage)](https://codeclimate.com/github/juntagrico/juntagrico-webdav/test_coverage)
[![image](https://img.shields.io/pypi/v/juntagrico-webdav.svg)](https://pypi.python.org/pypi/juntagrico-webdav)
[![image](https://img.shields.io/pypi/l/juntagrico-webdav.svg)](https://pypi.python.org/pypi/juntagrico-webdav)
[![image](https://img.shields.io/pypi/pyversions/juntagrico-webdav.svg)](https://pypi.python.org/pypi/juntagrico-webdav)
[![image](https://img.shields.io/pypi/status/juntagrico-webdav.svg)](https://pypi.python.org/pypi/juntagrico-webdav)
[![image](https://img.shields.io/pypi/dm/juntagrico-webdav.svg)](https://pypi.python.org/pypi/juntagrico-webdav/)
[![image](https://img.shields.io/github/last-commit/juntagrico/juntagrico-webdav.svg)](https://github.com/juntagrico/juntagrico-webdav)
[![image](https://img.shields.io/github/commit-activity/y/juntagrico/juntagrico-webdav)](https://github.com/juntagrico/juntagrico-webdav)
[![Requirements Status](https://requires.io/github/juntagrico/juntagrico-webdav/requirements.svg?branch=main)](https://requires.io/github/juntagrico/juntagrico-webdav/requirements/?branch=main)This app allows to include webdav folders into juntagrico in order to share files with your members.This is an extension for juntagrico. You can find more information about juntagrico here
(https://github.com/juntagrico/juntagrico).For more information information about how to install this app hop over to the doc section of the repo.
Package: junyu
这是README君禹科技人工智能神经网络字体这是斜体这是斜体这是粗体这是粗体这是粗斜体这是粗斜体引用这是一个引用这是一个引用的引用链接百度或者
[百度]https://www.baidu.com图片列表无序列表无序列表 1无序列表无序列表有序列表有序列表有序列表有序列表有序列表有序列表代码块helloworlddeffunc():print('python')
Package: jup2py
jup2py - Make jupyter notebook production readySimplest way to convert jupyter notebook to production ready .py fileIntroductionAs a data scientist or some one who loves quick proto-typing, you might be using Jupyter notebook or Ipython console to
build your data pipelines or modelling iteration. Finally when it's time for deployment, the hard time starts,
converting jupyter notebook to simple py file.You have conventional ways to download it as a .py file from console with or by downloading as .py file from Jupyter
Notebooks. But they never make it production ready .py file, somethings they mess with magic words or plots.InstallationTo install Jup2Py from PyPI:$ pip install jup2pyJup2Py supports Python 3.6 and aboveOnly requirement as of now isnbconvertJup2Py is still considered in "alpha" stage, and the released version may change
often; therefore, the best way to keep up-to-date with the latest development
is to clone this repository.UsageJup2Py is made to remove complexity and make it super easy.Options:Jup2Py :- Simple way to convert your Jupyter Notebook to .py
Please make sure that you have saved the Notebook before running Jup2Py
usage: jup2py [-h] [-v] [-i INPUT] [-o OUTPUT]

Jup2Py :- Simple way to convert your Jupyter Notebook to .py

optional arguments:
  -h, --help            show this help message and exit
  -v, --version         Jup2Py Version
  -i INPUT, --input INPUT
                        Input Jupyter Notebook to be converted to .py file
  -o OUTPUT, --output OUTPUT
                        [Optional]: Output python file name and locationExampleNOTE- Jup2Py requires you to save the Jupyter Notebook before using jup2pyCommand Linejup2py -i <<JUPYTER_NOTEBOOK.ipynb>> -o <<PYTHON_FILENAME.py>>-o/ --output is totally optional, if you don't supply it will save the .py in the same directory save the .ipynb filejup2py -i tests\jup2py_sample.ipynbPython Codeimport jup2py
jup2py.jup2py("tests/jup2py_test.ipynb", "tests/test.py")Second argument is totally optional, if you don't supply it will save the .py in the same directory save the .ipynb fileNOTE: - The output file is non-interactive in nature and will override if any previous same name file is found at that location.ConversionSample Jupyter Notebook -Jup2Py converted to production ready .py file in no time -Contact UsJup2Py is a very small initiative I took, there are lot of things we can improve on this and make this more stronger.Please don't hesitate to report a bug through issues.
Package: jupedsim
JuPedSim - Jülich Pedestrian SimulatorJuPedSimis a library for simulating pedestrian dynamics.
This software is mainly developed at the Institute for Civil SafetyIAS-7of the Jülich Research Center (Forschungszentrum Jülich) in Germany.Table of ContentsMain FeaturesWhere to get itLicenseDocumentationGetting HelpIssues, Discussion and DevelopmentMain FeatureJuPedSimoffers a Python interface, to set up and conduct pedestrian dynamics simulations.
WithJuPedSimyou can simulate small, simple layouts as bottleneck, but you can also simulate large, complex scenarios.
In these complex scenarios, different crowd management measures can be modeled with built-in modules.For simulating the pedestrian movement and interactionsJuPedSimoffers two different microscopic models out of the box.
The Collision Free Speed Model, as the name imply a speed model.
And a force model with the Generalized Centrifugal Force Model.WithJuPedSimdifferent decisions-making processes in the agents route choice can be modeled.
These routes may consist of multiple steps the agents have to complete.
One step may already be completed when an agent reaches the target, but it may also only be completed when a condition like a waiting is fulfilled.
After each completion one of the built-in deciders can be used to conditionally modify the agents next target.Where to get itIt is easiest to install directly with pip fromPyPi.orgpip install jupedsimFor information how to buildJuPedSimfrom source, visit ourGitHub repository.LicenseGNU LGPLv3DocumentationThe documentation ofJuPedSimis hosted on:https://www.jupedsim.orgGetting HelpFor usage questions, the best place to go to are theGitHub discussionsand thedocumentation.Issues, Discussion and DevelopmentIf you found a bug and want to give us a chance to fix it we would be very
happy to hear from you. To make it easy for us to help you please include the
following information when you open anew
issue:What did JuPedSim do?What did you expect JuPedSim to do?How can we reproduce the issue?If you encounter a bug and are would like to submit a fix feel free to open a
PR, we will look into it.Before embarking on larger work it is a good idea todiscusswhat you
plan.
Package: jupikchr
jupickhrdocsinstallextenddemopikchrtext-based diagrams forJupyterLab, etc.featuressupports writing and renderingpikchrin:pikchrfenced code blocks in.ipynbcells and.mddocumentsrich display for thetext/x-pikchrMIME typeOpen With... ⯈ Pikchrfor.pikchrtext documentsjupickhr.widget.Pikchrfor live updatinggenerates:portableimgtags (with fixed up special entities and fonts)these can be drag-and-dropped directly into other tools, likeipydrawioinline SVGlight, dark and autodetected themesinstallpipinstalljupikchr"jupyterlab>=3.4,<4"ormambainstall-cconda-forgejupikchr"jupyterlab>=3.4,<4"orcondainstall-cconda-forgejupikchr"jupyterlab>=3.4,<4"If you want to integrate with, or just hack on,jupikchritself, try thedevelopment installation steps.how it worksin the browserpikchrsource and metadata is found:in Markdown byjupyterlab-markupintext/x-pikchrrich display outputsin the Jupyter widgeta WebWorker is started which loads thepickchrC executable, compiled to
WebAssemblythese are vendored directly fromfossil'spikchrshowthe resulting HTML is either displayed directly, or embedded inside a portableimgtagin the case of rich outputs, thetext/htmldisplay type is also stored
inside the output as a fallback, e.g. fornbconvert
Package: jupiter-negotiation
# Jupiter: An Integrated Environment for Automated Negotiators.
Jupiter is a negotiation environment that implements an open architecture for automated negotiators.
It provides a testbed for negotiating agents like Genius.
Genius is a previous work about negotiation environment.
If you have used Genius, it is easy for you to use Jupiter.
But this version has not been adequate to use Jupiter as an alternative to Genius yet.
Jupiter is under development now.The feature is the following:
- is developed in Python3
- easy for agent developer to use machine learning library
- is able to use agents developed in Genius.## Important links
- Homepage: under constructions
- User Guide:https://github.com/TomoyaFukui/Jupiter/blob/master/userguide.pdf- Source code:https://github.com/TomoyaFukui/Jupiter- Python package:https://pypi.python.org/pypi/jupiter-negotiation- HTML documentation:https://github.com/TomoyaFukui/Jupiter/blob/master/docs/_build/html/index.html- Paper: under writing
- Related research:http://ii.tudelft.nl/genius/## Installation in Python
Jupiter is on PyPI, so you can use pip to install it:` # bash $ pip installjupiter-negotiation`Jupiter is only developed in Python3.## How to use
Please seehttps://github.com/TomoyaFukui/Jupiter/blob/master/notebooks/quick_start.ipynbI will make GUI and CUI in the future.## Changelog
### Version 0.0.dev5(2018.02.07)
- release jupiter-negotiation 0.0.dev5
- change directory structure
### Version 0.0.dev4(2018.01.15)
- release jupiter-negotiation 0.0.dev4
Package: jupiterweb
JúpiterWeb ScraperUm scraper de disciplinas dojupiterweb.⚙ Como instalarCaso você já tenha o pip instalado e configurado é só utilizar o comando de instalação:pipinstalljupiterwebSe o pip não estiver configurado, pode tentar instalar da seguinte maneira:python-mpipinstalljupiterwebSe nenhum dos comandos acima funcionar, pesquise em como con🧙‍♂️ Guia rápidoNo momento, o scraper só possui duas funcionalidades, buscar disciplinas pelo código ou pelo nome. E podem ser importados da seguinte maneira>>>fromjupiterwebimportJupiterWeb>>>client=JupiterWeb()Disciplna pelo codigoSe você optar encontrar uma disciplina pelo código>>>disc=client.disciplina_codigo('4300372')>>>disc<jupiterweb.api.Disciplinaobjectat0x000001B433080D00>Agora temos um objeto do tipo Discipina! Podemos acessar suas informações da seguinte maneira:>>>disc.nome'Eletromagnetismo'>>>disc['nome']'Eletromagnetismo'>>>disc.instituto'Instituto de Física'>>>disc['instituto']'Instituto de Física'Utilize o método.chaves()para ver todos os outros atributos dessa classe>>>disc.chaves()('instituto','departamento','codigo','nome','nome_ingles','creditos_aula','creditos_trabalho','carga_horaria_total','tipo','ativacao','desativacao','objetivos','programa_resumido','programa','avaliacao','bibliografia','requisitos','oferecimento')Disciplina pelo nomeSe você optar encontrar uma disciplina pelo código>>>discs=client.disciplina_nome('Eletromagnetismo')>>>discs.codigos_disciplinas()('4300372','PTC3213','SEL0608','PTC2313','SEL0309','LOM3205','7600021','5910150','7600035','7600036','4300303','4302303','4300304','4302304','4300373','PTC2310')Para escolher uma disciplina, podemos selecionar o seu indície no objeto.>>>discs[0]<jupiterweb.api.Disciplinaobjectat0x0000021754E971C0>Assim é retornado um objeto do tipo Disciplina, o qual sabemos como utilizar.Também é possível selecionar pelo código da disciplina:>>>discs.obter_disciplina('4300372')<jupiterweb.api.Disciplinaobjectat0x0000021754E971C0>✏ O que falta fazer?Documentar a API.Função Calendário.Se sentiu falta de alguma coisa? Tem alguma sugestão? Entre em contato comigo ou utilize das ferramentas do Github.
Package: juprog
juprog======Circle progress for Jupyter notebookBasic Example=============```pythonfrom time import sleepfrom juprog import CircleProgressfor x in CircleProgress(sequence):# fake long processsleep(0.2)```![juprog](juprog.gif)Install=======Release-------```bashpip install https://github.com/hainm/juprog/archive/v0.1.tar.gz```Development version-------------------```bashpip install git+https://github.com/hainm/juprog```Acknowledgement===============Use [progress-circle](https://github.com/iammary/progress-circle) for displaying progress.
Package: jupy
jupyis a utility that automatically finds an available port viass,sshinto the server, making an ssh tunnel, calls jupyter lab.Please install on your computer and host server to automatically
download jupyter lab.Authors: Apuã Paquola, Kynon BenjaminInstallationpip install--userjupyRequires:sshandssDoes not currently work for Mac OS.Manualusage: jupy[-h][--hostHOST][--dirDIR][--usernameUSERNAME][--default-portDEFAULT_PORT]FlagDescriptionExample-–hostserver to ssh1.1.1.1-–dirdirectory to run jupyter lab/ceph-–usernameusername on servermyusername-–default-portlocalhost port8888–version, -vprint versionjupy 0.2.2Change logsv0.2.2Fixed $HOME directory bug. Now, autodetects $HOMEv0.2.1Added version flagv0.2Launches jupyter-lab instead of jupyter-notebookadded function to specify username, default is to use local username
Package: jupyai
JupyAIJupyAI adds AI capabilities to JupyterLab:Code generation (generate code based on a prompt)Code modifications (update existing code)Code fixing (fix broken code)https://github.com/ploomber/jupyai/assets/989250/18447b68-3ee2-434e-b626-18fc35cb822fUser notesTo switch the model (defaults togpt-3.5-turbo), open JupyterLab preferences, type JupyAI and you'll see
a text field to change the model name. For example, to switch to GPT-4, entergpt-4.To see the valid values, consultOpenAI's documentation.Development notesThe prompts are hardcoded, it'd be better to add an option to customize themOnly OpenAI is supported for nowPRs welcome!RequirementsJupyterLab >= 4.0.0InstallpipinstalljupyaiUsage# set your OpenAI keyexportOPENAI_API_KEY=YOURKEY# start JupyterLabjupyterlabOnce installed, you'll see a magic wand on each cell, click it to trigger code completion. You can also use CMD + ENTER (see demo at the top of this file).UninstallTo remove the extension, execute:pipuninstalljupyaiTroubleshootIf you are seeing the frontend extension, but it is not working, check
that the server extension is enabled:jupyterserverextensionlistIf the server extension is installed and enabled, but you are not seeing
the frontend extension, check the frontend extension is installed:jupyterlabextensionlistContributingSeeCONTRIBUTING.mdAlternativesJupyter AIis another extension that
brings AI capabilities to Jupyter. It has a lot of great features!However, Jupyter AI generates code in the cell's output; hence, you need to copy-paste
code if you want to run it or if you want to update existing code. JupyAI adds
code to the cell itself, allowing you to edit it and run it as you'd normally do.
Package: jupyckage
READMEA tiny little package to create packages from jupyter notebooksIf you find yourself copy pasting functions between jupyter notebooks, this might help.Please note: this allows you to import functionsandobjects from your notebooks.Typical Use CasesThis is very helpful when producing the same graph, running the same ETL, or executing the same ML pipeline on different datasets or different versions of the same dataset.Make Packages from Jupyter NotebooksIn PythonYou can run thisin<your_notebook.ipynb> or anywhere else in the same directoryfrom jupyckage.jupyckage import notebook_to_package

notebook_to_package("notebook_name.ipynb")will create the needed files and directories [in the current directory] to produce a local packageImporting the PackageYou can access byimport notebooks.src.<cleaned_notebook_name>.<cleaned_notebook_name>wherecleaned_notebook_nameis all lower case and has spaces replaced with underscores.Please noteif your notebook name has illegal characters for a python package, there will be an error.I recommend importing your notebookasan abbreviation-- but as usualplease do not import *, for the same reasons as usual.Make sure to rerun the code if you want the package updated.From the Command LineYou can enterjupyckage --nb <notebook_name.ipynb>in your terminal and the most recentsavedversion of your notebook will be turned into a package.  You can import the package as described above in 'In Python'Under the Hood: Package Directory StructureWith no consensus on directory structure for packages, I defaulted to a version ofpython.org's suggestion.notebooks/
├── src/
│   └── <notebook_name>/
│       ├── __init__.py
│       └── <notebook_name>.py  # what you'll be importing
└── bin/
    └── <notebook_name>.py #executableI realize the import statement is hefty, but I didn't want to handle collissions in a VO.Skip StuffAything you don't want included in the package you can put below a MARKDOWN cell including the text between the quotes"# DO NOT ADD BELOW TO SCRIPT"FAQsHelp! My code isn't updating!Make sure that you've run your notebook and saved it.  This package relies on jupyter notebook'snbconvertunder the hood, which looks to the most recent checkpoint of your notebook.Help! Why can't jupyckage do more?!?!If you're interested added functionality, please let me know and I'll look at adding it or happily work with you so you can contribute :)Help! Why is the import statement so verbose?!?!I realize the import statement is hefty, but I didn't want to handle collissions in a VO.  If you find this package useful and would really love an update or want to contribute, please contact me :)ContactHi, I'm Kerstin Frailey.  I whipped up this package quickly to make my life a bit easier.  Hope it helps some other people out, too.Here's the repo info:codehttps://github.com/kefrailey/jupyckageissueshttps://github.com/kefrailey/jupyckage/issuesHere's my contact info:twitter @KEFraileyblog datascienceatwork.blogemailfrailey.work@gmail.comlinkedin linkedin.com/in/kefraileyHope you have a nice day!