Saravanan666/pypi-org huggingface dataset:
Package: jamegresc
jamegresc目黒区の年度別の資源ごみ回収量・売却益の可視化をしています。
範囲は2011~2019年の間です。
y軸は左が回収量(t)、右が売却益(1000円)です。visualizes the amount of recyclable waste collected and proceeds from the sale of recyclable waste by year in Meguro City.
The range is between 2011~2019.
The y-axis is the amount collected (tons) on the left and the profit from sale (1000 yen) on the right.Dataset・jamegrescは以下のページからデータをダウンロードして利用しています。・jamegresc uses the data downloaded from the following page.https://catalog.data.metro.tokyo.lg.jp/dataset/t131105d0000000018/resource/31bb126f-6f10-433a-9f65-d00986c48385・jamegrescは、以下の著作物を改変・加工して利用しています。・jamegresc uses the following copyrighted materials by modifying and processing them.著作物のタイトル　資源回収量・収集拠点数・売却益、著作権者　東京都・目黒区、クリエイティブ・コモンズ・ライセンス 表示4.0国際（https://creativecommons.org/licenses/by/4.0/deed.ja）実行例jamegresc-hjamegresc
Package: jamesbond
jamesbondAboutjamesbond🔫🍸👙🇬🇧 is a Python tabular data package that displays information/metrics about the James Bond films in a pandas dataframe. This package can be used for visualization and machine learning.Getting startedYou can install easily from PyPiInstallationpip install jamesbondUsagePull James Bond movie metrics into a pandas data frame using theload_jamesbondmethod:from jamesbond import jamesbond

df = jamesbond.load_jamesbond()

df.head(10)ContentColumnDtypeDescriptionYearint64Release year of the movie.MovieobjectThe movie title.BondobjectActor who played James Bond.DirectorobjectDirector of the movie.ComposerobjectComposer of the movie.WriterobjectWriter of the movie.CinematographerobjectCinematographer of the movie.Depicted_Film_LocobjectDepicted location(s) of the movie.Shooting_LocobjectShooting location(s) of the move.Bond_Car_MFGobjectThe manufacturer of the bond car.Bond_Girl_NatobjectThe nationality of the bond girl(s).US_Grossint64The films U.S gross earnings.US_Adjint64The films U.S gross earnings adjusted based on 2013.World_Grossint64The films worldwide gross earnings.World_Adjint64The films worldwide gross earnings adjusted based on 2013.Budgetint64The films budget.Budget_Adjint64The films budget adjust based on 2013.Film_Lengthint64The length of the movie.Avg_User_IMDBfloat64The average user rating from IMDB.Avg_User_Rtn_Tomfloat64The average user rating from Rotten Tomatoes.Conquestsint64The number of bond girls in the movie.Martinisint64The number of martinis Bond consumed in the movie.BJBint64The number of times bond stated "Bond, James Bond."Kills_Bondint64The number of people Bond killed.Kills_Othersint64The number of people killed by someone other than bond.Top_100int64A flag where 1 represents the title song made Billboard/UK top 100 song, 0 mean it didn't.Video_Gameint64A flag where 1 represents the title was made into a video game, 0 means it didn't.ReferencesThis package leverages and adds to Derek S. Young and hisHoRMpackageDerek S. Young (2017). Handbook of Regression Methods. CRC Press/Taylor & Francis Group. Boca Raton, FL.
Package: jamesbot
JamesBotMy name is Bot, I'm aJames.JamesBot is a python package that downloads and retains financial data from Yahoo Finance API and Bloomberg API, making possible to load financial time series previously loaded locally.InstallationInstall JamesBot package usingpip:pip install jamesbot --upgradeHow to usefromjamesbotimport*dl=DataLoader()# creates DataLoaderdf=dl.load('AMZN','2014-07-01','2021-04-01')# loads Amazon's stock priceprint(df)# prints DataFrameBloomberg APIIf you have a Bloomberg API License, it is also possible to load data from it. When getting data,
you must have Bloomberg's Terminal open in your machine.p.s: Note that Bloomberg ticker's names must include the market's name.fromjamesbotimport*dl=DataLoader(source='bloomberg')# creates DataLoaderdf=dl.load('AMZN US Equity','2014-07-01','2021-04-01')# loads Amazon's stock priceprint(df)# prints DataFrame
Package: jamesmoon-world
Hello WorldThis is an tutorial project demonstrating how to publish a python module to PyPI.Developing Hello WorldTo install helloworld, along with the tools you need to develop and run tests, run the following in your virtualenv:$pipinstall-e.Usagefromhelloworldimportsay_hello# Generate "Hello, World!"say_hello()# Generate "Hello, James!"say_hello("James")
Package: jamespopcat
Jamespopcat Python LibraryJamespopcat is a tools program designed to automate clicks on the websitepopcat.clickBy adjusting the number of users (Tab) and the Clicking Speed.Quick linksBlogDear Popcat clickjamess.weeRequirementsBefore installing the Jamespopcat program, make sure your computer meets the following requirements:Python 3.6 or later is installed on your computer.Google Chrome is installed on your computer with the latest version.Installation StepsOpen a terminal or command prompt on your computer.For Windows:python -m pip install --upgrade pipFor MacOS or Linux:sudo pip install --upgrade pipInstall the Jamespopcat package by running the following command:pip install jamespopcatTo ensure that you have installed the latest version, use the following command:pip install --upgrade jamespopcatTo run the program, run the following command in the terminal or command prompt:python -m jamespopcatNoteThis program can only be run on operating systems such as Windows, MacOS, and Linux.If there is an error while running the program, download the latest version of thechromedriver.exefile and place it in the same directory as the directory you are running.chromedriver.exeThe fast clicking depends on how good your device's CPU and hardware are performing
Package: jameswebb-archiver
Archives James Webb Telescope's Near Infrared Camera (NIRCam) Images including metdata.InstallationYou can install the James Webb Archiver from PyPi:pip install jameswebb-archiverDependenciesPython 3.6+requestsBeautifulSoup4Local Installation and dependencies installpython setup.py install  
pip install -r requirements.txtUsagejameswebb-archiver
-o | --output - Set output folder
-h | --help	  - Help
Package: jamexp
jamexpclijstar: star files with fzf prompt.jwdc: clear stale, short and notagexportWANDB_ENTITY=nameexportWANDB_API_KEY=keystale: [0, 10], [7, 60], [3, 180], [1, 600] (days, run_duration/seconds)short: three days ago and no tagsjhydc: clear hyd exp foldersstale: [0, 10], [7, 60], [3, 180], [1, 600]wandb-syncjpin: pin good resultsjlnandjunln
Package: jamf-pro-sdk
Jamf Pro SDK for PythonA client library for the Jamf Pro APIs and webhooks.fromjamf_pro_sdkimportJamfProClient,BasicAuthProviderclient=JamfProClient(server="dummy.jamfcloud.com",credentials=BasicAuthProvider("username","password"))all_computers=client.pro_api.get_computer_inventory_v1()Read the full documentation onGitHub Pages.InstallingInstall releases from PyPI:%python-mpipinstalljamf-pro-sdkYou may also install directly from GitHub if you are testing in-development features and/or changes:%pipinstallgit+https://github.com/macadmins/jamf-pro-sdk-python.git@<target-ref-or-branch>The Jamf Pro SDK supports Python 3.9+.Bugs, Feedback, and Feature RequestsThe Jamf Pro SDK for Python is currently in alpha. Not all APIs are available as methods through the clients, and some functionality may change during the alpha based on community feedback.If you encounter a bug, or undesired behavior, please open aBug report issue.If you want to request or propose a change to behavior in the SDK during the alpha please oen aFeedback issue. Feedback issues are in-between a bug report and a feature request. You are describing a current implementation (or lack thereof) and the desired change. Feedback issues are used for vetting contributions with project maintainers and the community before work begins.If there is a feature or API you would like added (or prioritized) to the SDK please open aFeature request issue. With feature requests include a detailed description and a code example that shows how you envision the feature being used.For all issue templates be sure to fill out every section!ContributingThere are many ways to directly contribute to the project. You can enhance the documentation and user guides, or add additional API models and methods. For both there are guidelines for how to proceed.Visit theContributorssection of the documentation for more details.
Package: jamia-all-courses
All Courses in JamiaThis repo contains index of courses available in Jamia Millia Islamia.Installationpip install jamia-all-coursesUsagesfromjamia_all_coursesimportall_coursesforcategoryinall_courses:print('-',category['name'])forcourseincategory['courses']:print('    -',course['name'])forspecializationincourse['specializations']:print('        -',specialization['name'],specialization['code'])Or import specific programme:doctoral_programmesmasters_programmespostgraduate_diploma_programmesundergraduate_programmesadvanced_diploma_programmesdiploma_programmesfromjamia_all_coursesimportundergraduate_programmesforcourseinundergraduate_programmes['courses']:print('    -',course['name'])forspecializationincourse['specializations']:print('        -',specialization['name'],specialization['code'])getCourse(hash):[category, course, specialization]Returns array of 3 with their respective labelsgetCourseName(hash): Returns string of course and specialisationimportget_course,get_course_namefromjamia_all_coursesprint(get_course_name('3fc6d'))# B.Tech. Computer Engineeringprint(get_course('3fc6d'))# ['Undergraduate Programmes', 'B.Tech.','Computer Engineering']Structure[{
    name: 'category',
    courses: [{
        name: 'course',
        specializations: [{
            name: 'specialization',
            code: 'hash'
        }]
    }]
}]
Package: jami-cli
jami-cliA command line app for encrypting/decrypting text with a passwordinstallpip install jami-cliusageencrypt❯ jami encrypt
Type in your text: hello world
Password: 123 (hidden)
Repeat for confirmation: 123 (hidden)
rK_w8vK82y7fr3-GLOgsTAABhqCAAAAAAGWtWEEdwP4sZlY1wTyD0NZqLAk5z0CkD-EHqS_77wF3IPt-jODfNfKiLEFenpXE5BybcVVCeKf2LOBFJhOJ-U4YaBoNdecrypt❯ jami decrypt
Type in your encrypted text: rK_w8vK82y7fr3-GLOgsTAABhqCAAAAAAGWtWEEdwP4sZlY1wTyD0NZqLAk5z0CkD-EHqS_77wF3IPt-jODfNfKiLEFenpXE5BybcVVCeKf2LOBFJhOJ-U4YaBoN
Password: 123 (hidden)
hello world
Package: jamieleecho-docker-build-ami
docker-build-amiBuild Amazon EC2 AMI image using a DockerfileLimitationsOnly supports instructions ENV, RUN, COPY and ADD, other instructions will just be ignored.ConfigurationThere is a separate config file for the script in either “/etc/docker-build-ami.conf” or “~/.docker-build-ami.conf”.# [main]

# Temporary directory
# tmp_dir = /tmp

# Name tag for host building AMI image
# host_tag = 'docker-build-ami'

# Region
# region = eu-west-1

# Instance type
# instance_type = m3.medium

# Subnet ID
# subnet_id = subnet-123abc45

# Security Groups
# security_group_ids = ["sg-1234", "sg-23456"]

# Host Tags - additional tags to add to EC2 host
# host_tags = [{"Key": "foo", "Value": "bar"}]

# AWS access key id
# aws_access_key_id = DFSDF3HGDF4SDSD1DDFF

# AWS secret access key
# aws_secret_access_key = 3riljdsf5SDFSDvsdfds452sdSDFDfsdf44SDFdRA

# Base image from which the output image is built
# image_id = ami-0df67e2624dedbae1

# EC2 user used to build instances (usually AMI dependent)
# image_user = ubuntu

# The AMI Name of the output image
# image_name = ubuntu-test

# Image Tags - tags to add to AMI
# image_tags = [{"Key": "foo", "Value": "bar"}]Usageusage: docker-build-ami [-h] [-c CONFIG] [-d] [-r REGION] [-t INSTANCE_TYPE]
                        [-s SUBNET_ID] [-n IMAGE_NAME] [-i IMAGE_ID]
                        [-u IMAGE_USER]

optional arguments:
  -h, --help            show this help message and exit
  -c CONFIG, --config CONFIG
                        Configuration file
  -d, --debug           Print debug info
  -r REGION, --region REGION
                        AWS region
  -t INSTANCE_TYPE, --instance-type INSTANCE_TYPE
                        EC2 instance type
  -s SUBNET_ID, --subnet-id SUBNET_ID
                        AWS subnet id
  -n IMAGE_NAME, --image-name IMAGE_NAME
                        Target AMI image name
  -i IMAGE_ID, --image-id IMAGE_ID
                        Source AMI image ID
  -u IMAGE_USER, --image-user IMAGE_USER
                        AMI image userRunning Tests# Run these lines once
pip3 install -r requirements-test.txt
pre-commit install

# Run these lines to check code formatting and correctness
flake8 --show-source --filename="\*.py" .
pytest --cov=docker2ami
Package: jaml-edit
jamlLets you edit JSON as YAML, and vice versa, with only one command!Intelligently detects output settings based on the input file typeRespects your $EDITOR if it can, otherwise tries to find one it can useIs made with loveInstallationpip install jaml-editUsage$ jaml --help
usage: jaml [-h] [-i INDENT] [-t] file_name

Interchangeably edit YAML as JSON and vice versa

positional arguments:
  file_name             The file to edit

optional arguments:
  -h, --help            show this help message and exit
  -i INDENT, --indent INDENT
                        How indented the output data should be
  -t, --trailing-whitespace
                        Add trailing whitespace to the end of the output
Package: jammer
# jammer[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)A jax based affine-invariant MCMC hammer that can leverage GPUs to speed up sampling for computationally intensive likelihoods. It implements the [Goodman-Weare](https://msp.org/camcos/2010/5-1/p04.xhtml) algorithm as described in [dfm++](https://arxiv.org/abs/1202.3665) and is inspired by the popular [emcee](https://github.com/dfm/emcee) library. Thejust-in-timecompilation together withvectorizedlikelihood evaluation for the walkers gives significant speed-up even on CPUs when compared to emcee## InstallationTo installjammer, please clone this repository and then runpython setup.py installinside it You can also install this viapipusing` pip install jammer `To run it on a GPU, you must have an installation ofjaxlibcompatible with your CUDA version. For more information, please refer to the official [guidelines](https://github.com/google/jax#installation)The API forjammeris slightly different fromemcee. This might change in the future.
Package: jammies
jammiesjammiesis a helper for constructing, managing, and patching projects to better improve and fix the reproducibility of other work.Project Files'Project Files' indicate a method of grabbing a file(s) from some location to put into the working directory. Each project file can specify a relative directory to the working directory of where to extract to.The following project file types are supported:osf - An Open Science Framework projectgit - A git repositoryurl - An arbitrary url to obtain a file via a GET requestProject Metadata SpecificationTheproject_metadata.jsongenerated with each project looks like so:{"files":[{"type":"xxx",// Must be "osf", "url", or "git""dir":"<path>",// The directory relative to the working directory to put the file in (default: the working directory)"extra":{// An object containing user-defined data}}{"type":"osf","id":"<project_id>"// The five alphanumeric character OSF project identifier},{"type":"url","url":"<url>"// A url to query a file from via a GET request},{"type":"git","repository":"<git_repo>",// The git repository to checkout"branch|tag|commit":"<branch_name>|<tag_name>|<commit_id>"// The location to checkout to (default: the default branch when cloning the repository)}],"ignore":[// A list of file patterns to ignore instead of patching if it exists."xxx"],"overwrite":[// A list of file patterns to overwrite instead of patching if it exists."xxx"],"extra":{// An object containing user-defined data}}CommandsThe following commands can be accessed from the command line interface:jammies patch init [--import_metadata/-I <path_or_url>]Initializes a new project to be patched either from the metadata in the current directory, an import, or provided via the builder.Optional Parameters:--import_metadata/-I- Takes in a path or url to the metadata JSON to build the project for.jammies patch clean [--import_metadata/-I <path_or_url>]Initializes a clean workspace either from the metadata in the current directory, an import, or provided via the builder.Optional Parameters:--import_metadata/-I- Takes in a path or url to the metadata JSON to build the project for.jammies patch src [--import_metadata/-I <path_or_url>]Initializes a patched workspace either from the metadata in the current directory, an import, or provided via the builder.Optional Parameters:--import_metadata/-I- Takes in a path or url to the metadata JSON to build the project for.jammies patch outputGenerates any patches from the original files and clones the new files to an output directory.Contributingjammiesis built for Python 3.8+ while being developed on 3.11.
Package: jammy
Jammy (Jam)A personal toolbox byQsh.zh.UsagesetupFor core package, runpip install jammyTo access functions inbingitclonehttps://gitlab.com/qsh.zh/jam.git--recursiveexportPATH=<path_to_jam>/bin:$PATH# run python programjam-runmain.py
jam-crun1main.py# use second nvidia gpusample of ioimportjammy.ioasjiofromjamtorch.utilsimportas_numpyjio.dump("ndarray.npz",np.arange(10))jio.dump("foo.pkl",{"foo":as_numpy(torch.arange(10).cuda())})ndarray=jio.load("ndarray.npz")jio.load("foo.pkl")model_dict=jio.load("checkpoint.pth")$jinspect-filefoo.pkl
>python3[ins]print(f1)# content of foo.pklAdvanced UsageA DDP pytorch training frameworkRegistryTODOEtymologyThe naming is inspired fromJyutpingofQin.MICSThe package and framework are inspired fromJacinlebyvacancy, from which I learn and take utility functions shamelessly.
Package: jamo
Python-jamo is a Python Hangul syllable decomposition and synthesis library
for working with Hangul characters and jamo.Currently in beta release, function names are subject to change, but there is
coverage for nearly all Hangul-related codepoints under Unicode 7.0.Originally designed to help students identify difficult-to-spell words
containing (ㅔ,ㅐ) or (ㅗ,ㅜ), this project hopes to fill the niche of Korean
phonetic and spelling analysis.InstallationTo install Jamo frompypi, simply:$pipinstalljamoThe jamo module is Python 3 only. Viva the bleeding edge!DocumentationDocumentation is available at ReadTheDocs inEnglish.ContributingLike this project or want to help? Take a look at the issues! I’m active on
github, and will review pulls. I’m open to email as well, so please contact
me if you have any ideas for this project.LicenseApache 2.0 licensed.Anyone is free to use the software for any purpose, to distribute it, to
modify it, and to distribute modified versions of the software, under the
terms of the license, without concern for royalties.
Package: jamoora
Jamurah consists of multiple tools to aid DevOps in their day to day tasks related to AWS. Jamurah is particularly helpful if you have multiple AWS account.Prequisitesjq (http://stedolan.github.io/jq/)bashInstallationSetup .bashrc using the sample included in the repoadd profiles in the .jamurahprofiles folder or use jamoora addRun using jamoora load <profile name>. Type jamoorah leave to leave.
Package: jamorasep
Japanese text parser to separate Hiragana/Katakana string into morae (syllables).LicenseCopyright (c) 2023 Hideyuki Tachibana,MIT LicenseUsageInstallpipinstalljamorasepCode Example# importimportjamorasepjamorasep.parse("シャンプーハット",output_format="katakana")jamorasep.parse("シャンプーハット",output_format="simple-ipa")jamorasep.parse("シャンプーハット",output_format="kunrei")jamorasep.parse("シャンプーハット",output_format="hepburn")
Package: jampack
Source Repository:https://github.com/chrissimpkins/jampackWhat is JamPack?JamPack includes the executablesjamandunjamthat provide a simple approach to pack and unpack tar.gz, tar.bz2, and zip file archives, respectively.  No more alphabet soup. JamPack works on Linux, OS X, and Windows platforms.InstallInstall withpipusing the command:$ pip install jampackordownload the source repository, unpack it, and navigate to the top level of the repository.  Then enter:$ python setup.py installUsage$ jam [secondary command] [directory path]$ unjam [archive file path]Compress and Archive the Current Working Directory (tar.gz default)$ jamCompress and Archive the Current Working Directory (tar.bz2)$ jam bz2Compress and Archive the Current Working Directory (zip)$ jam zipCompress and Archive Explicit Directory (tar.gz default)$ jam [directory path(s)]Compress and Archive Explicit Directory (tar.bz2)$ jam bz2 [directory path(s)]Compress and Archive Explicit Directory (zip)$ jam zip [directory path(s)]Decompress and Unpack a tar.gz, tar.bz2, or zip Archive$ unjam [tar.gz archive path]$ unjam [tar.bz2 archive path]$ unjam [zip archive path]The archive and compression types are detected automatically.Help$ jam help$ unjam helpLicenseLicensed under the MIT license.  The full text of the license is available athttps://github.com/chrissimpkins/jampack/blob/master/LICENSE
Package: jampp-reporting-api-client
Reporting API ClientThis is a Python Client forJampp’s Reporting API. For more information, check thedocs.FeaturesExecute Pivots in an user friendly manner.Execute raw GraphQL queries against the Reporting API.Basic Usageimportosfromreporting_api_clientimportReportingAPIClientclient=ReportingAPIClient(os.environ["CLIENT_ID"],os.environ["CLIENT_SECRET"])query="""{
    pivot(from: "2022-07-01", to: "2022-07-02", granularity: DAILY) {
        results {
            clicks
        }
    }
}"""result=client.query(query)print(result)Executing the above code should output a result similar to the following:$pythonexample.py{'pivot': {'results': [{'clicks': 123456}]}}Change LogAll notable changes to this project will be documented here.Sort subsections like so: Added, Bugfixes, Improvements, Technical tasks.
Group anything an end user shouldn’t care deeply about into technical
tasks, even if they’re technically bugs. Only include as “bugfixes”
bugs with user-visible outcomes.When major components get significant changes worthy of mention, they
can be described in a Major section.v0.3.0 - 2022-09-12AddedAdd workflows for CI and publishing to PyPI.Host documentation publically.ChangedRemove Jampp’s refferences.v0.2.0 - 2022-08-29AddedRemove need of introspection on client.v0.1.0 - 2022-07-19AddedAdd baseReportingAPIClientimplementation using OAuth for authenticationRename toreporting_api_client.
Package: jamstack
Also known as Jamstackpy, is a tool that allows you to create static websites using the power ofPythonhand in hand
with theFlasklibrary. Its operation is based on templates which are rendered with
the powerful Jinja engine generating your website with all its dependencies.Installationpython-mpipinstalljamstackCreate basic projectjamstackplain<foldername>TemplatesJamstack has templates available courtesy ofhtml5up.TemplateCommandTutorialMassivelyhtml5up/massivelyPhantomhtml5up/phantomHEREThe syntax is as follows:jamstackt<template_command><project_folder_name>Use the--existingflag if you want the project to be created in an existing folderjamstackthtml5up/massivelymyproject--existingBy default, projects based in templates are created without the assets (stylesheets, images, etc...) to download them,
you must pass
the--jamdooption to thestatic.pyfile of the respective project.BuildTo build the site run the filestatic.py.pythonstatic.pyYour site will be generated in thedist/folder.Other project command-line optionsArgumentDescription--serveOptional. Start project livewatch (autoreload when files change).--watchOptional. Specify files and folders to watch. Must be separated by comma.--portOptional. Specify server port.Sites using jamstackDeliciousPy Telegram ChannelThe Flask Community Work GroupAbdur-Rahmaan JanhangeerTODOReplacepython static.py --serve/--jamdoby something likejamstack --serve/--jamdoRemove Flask as Main requirement and just use Jinja