Saravanan666/pypi-org huggingface dataset:
Package: cloud-genesis
GENESIS toolkit for analysing coherent structures in atmospheric flowsThis repository contains the GENESIS toolkit developed during theGENESISproject, which
enables the study of coherent structures in atmospheric flows. It is designed
to for studying coherent boundary layer structures which trigger convective
clouds.InstallationYou can install the newest release frompypiusingpip:python-mpipinstallcloud-genesisUsageThe easiest way to get started with genesis is to check out the training
material created for theCOMPLETE
workshop.
Package: cloudgenix
CloudGenix Python SDK v6.3.2b1Python3 SDK for the CloudGenix AppFabricSynopsisIntended to be a small, lightweight SDK wrapper around the CloudGenix API for easy use.
Initial version requires knowledge of JSON/Dict objects for POST/PUT/PATCH operations.RequirementsActive CloudGenix AccountPython >=3.7Python modules:Requests -http://docs.python-requests.org/en/master/Websockets >= 8.1 -https://websockets.readthedocs.io/en/stable/index.htmlurllib3 >= 2.0.0 -https://urllib3.readthedocs.io/en/stable/Code ExampleComes withexample.pythat shows usage to get a JSON list of sites.Super-simplified example code (rewrite of example.py in ~4 lines of code):# Import the CloudGenix SDK API constructor and JSON response pretty printerfromcloudgeniximportAPI,jd# Instantiate the CloudGenix API constructorsdk=API()# Call CloudGenix API login using the Interactive helpers (Handle SAML2.0 login and MSP functions too!).sdk.interactive.login()# Print a dump of the list of sites for your selected accountjd(sdk.get.sites())LicenseMITVersionVersionBuildChanges6.3.2b1Support for February 2023 Controller release.6.3.1b1Support for November 2023 Controller release.6.2.3b1Support for August 2023 Controller release.6.2.2b1Support for June 2023 Controller release.6.2.1b1Support for April 2023 Controller release.6.1.2b1Support for January 2023 Controller release.6.1.1b1Support for November 2022 Controller release.6.0.2b1Support for August 2022 Controller release.6.0.1b1Support for June 2022 Controller release.5.6.1b2Minor bugfix.b1Support for Sept 2021 Controller release.5.5.3b1Support for June 2021 Controller release.5.5.1b3Fix for issue #25.b2Minor bugfixes.b1Support for April 2021 Controller release.5.4.3b1Support for October 2020 Controller release.5.4.1b1Support for July 2020 Controller release.5.3.1b1Support for April 2020 Controller release.5.2.3b1Support for March 2020 Controller release.5.2.1b1Support for January 2020 Controller release.5.1.5b1Support for June 2019 Controller release.5.1.1b1Support for November 2018 Controller release.5.0.3b2Enhanced REST API retry handling and options.b1Support for September 2018 Controller release.5.0.1b1Support for July 2018 Controller release, New version notifications, Depreciate legacy _single functions.4.7.1b1Support for May 2018 Controller release.4.6.1b1Support for Mar 2018 Controller release.4.5.7b1Support for Feb 2018 Controller release, Bugfix for issue #44.5.5b4Bugfix for certain POST APIs, other minor fixes.b3CA Pinning update, *_single function deprecation, add missed 'security' extras requirement.b2Various fixes and cleanup for public release.b1Update for 15/12/2017 API additions.4.5.3b2Initial Internal Release.For more infoGet help and additional CloudGenix Documentation athttp://support.cloudgenix.comView the autogenerated documentation in thedocs/directory, or athttps://cloudgenix.github.io/sdk-python/.View in-python help usinghelp()functions. (example:help(sdk.get.login))
Package: cloudgenix-get-prisma
Cloudgenix Get PrismaRequirementsActive CloudGenix AccountPython >=3.7 (may work on lower)Python modules:cloudgenix >= 5.4.1b1 -https://github.com/CloudGenix/sdk-pythoncloudgenix_idname >= 2.0.1 -https://github.com/ebob9/cloudgenix-idnametabulate == 0.8.7 -https://github.com/astanin/python-tabulateLicenseMITInstallation:Via PIP:pip install --upgrade cloudgenix_get_prismaVia download: Clone/Download, and from the directory run./get_prisma_servicelinks.pyUsage:To authenticate, set AUTH_TOKEN in an environment variableexportAUTH_TOKEN="<Your AUTH_TOKEN text here>"Otherwise, script will prompt you for username/password or SAML2 login info and log in interactively.Once authenticated, if no arguments - will print table:edwards-mbp-pro:cloudgenix_get_prismaaaron$get_prisma_servicelinksSiteElementInterfaceElementOnlineAdminStateOperationalStateExtendedStatePrismaRemoteOn-boardingParentInterface
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Branch3Branch3ION3KAUTO-PRISMA_IPSEC-Tunnel_us-west-1_1OnlineTrueuptunnel_upAUTO-CGX_ecmp-31Branch3Branch3ION3KAUTO-PRISMA_IPSEC-Tunnel_us-west-1_4OnlineTrueuptunnel_upAUTO-CGX_ecmp-34Branch2Branch2ION3KAUTO-PRISMA_IPSEC-Tunnel_us-east-1_1OnlineTrueuptunnel_upAUTO-CGX_ecmp-21Branch2Branch2ION3KAUTO-PRISMA_IPSEC-Tunnel_us-east-1_4OnlineTrueuptunnel_upAUTO-CGX_ecmp-24Branch1Branch1ION3KAUTO-PRISMA_IPSEC-Tunnel_us-east-1_1OnlineTrueuptunnel_upAUTO-CGX_remotenet-11edwards-mbp-pro:cloudgenix_get_prismaaaron$Can also use--csv-output-filecommand line switch to save output as CSV.Full options available when run with--help.VersionVersionChanges1.0.3Added ability to specify PRISMA_API_KEY via cmdline or ENV_VAR and return tunnel endpoints.1.0.2Marked Statuses "Unknwon_Offline" that are stale when devices are offline.1.0.1Initial Release.
Package: cloudgenix-idname
ID -> Name Translator for CloudGenixID -> Name translator for the CloudGenix Python SDKSynopsisCloudGenix's API uses unique ID values for all objects.This quick module utilizes the CloudGenix Python SDK to create a dictionary object containing most
common object lists, referenced by ID.Simple usage:idname_dict=cloudgenix_idname.generate_id_name_map(cgx_sess)# takes 30-40 seconds to generate.vpn_link_id='15136303805980148'print('My VPN link is "{}".'.format(idname_dict.get(vpn_link_id,vpn_link_id)))My VPN link is "SJC Branch ('AT&T' via 'Circuit to AT&T') <-> ('ATT2' via 'Circuit to ATT2') Charlotte DC".Efficient usage:# create constructor to make and cache queriesidname=cloudgenix_idname.CloudGenixIDName(cgx_sess)# get just VPN id to name maps.vpnpaths_id_to_name=idname.generate_anynets_map()# takes < 3 seconds to generate# query for VPNvpn_link_id='15136303805980148'print('My VPN link is "{}".'.format(vpnpaths_id_to_name.get(vpn_link_id,vpn_link_id)))# output: My VPN link is "SJC Branch ('AT&T' via 'Circuit to AT&T') <-> ('ATT2' via 'Circuit to ATT2') Charlotte DC".# lets query a link that is new since last time.new_vpn_link_id='15136303805980182'print('My VPN link is "{}".'.format(vpnpaths_id_to_name.get(vpn_link_id,vpn_link_id)))# output: My VPN link is "15136303805980182".vpnpaths_id_to_name=idname.generate_anynets_map()# takes < 0.1 secondsprint('My VPN link is "{}".'.format(vpnpaths_id_to_name.get(vpn_link_id,vpn_link_id)))# output: My VPN link is "SJC Branch ('Verizon' via 'Circuit to Verizon') <-> ('ATT2' via 'Circuit to ATT2') Charlotte DC".RequirementsActive CloudGenix AccountPython >=3.6 (if you still need 2.7 support,pip install cloudgenix_idname==1.2.3)Python modules:cloudgenix >=5.2.1b1 -https://github.com/CloudGenix/sdk-pythonCode ExampleComes withtest.pythat creates an ID -> Name map and dumps to console.LicenseMITVersionVersionChanges2.0.2Added support for failure of API calls to still generate lookup maps. (Specifically seen with tenant_viewonly on operators API.)2.0.1Add support for localprefixes, globalprefixes2.0.0Major rewrite, Deprecate Python2. Now supports a Class object and caching with delta updates (where available.)1.2.3Fixed minor return issue1.2.2Add support for Spoke Clusters1.2.1Add support for SDK >= 5.1.1b11.2.0Add reverse lookup support (name -> ID) to all functions. Reverse lookup has limitations as names are not unique.1.1.3Resolve Issue #6, enhance Site WAN Interface mapping, add shortcut to generate_id_name_map.1.1.2Fix minor return issue.1.1.1Fix issue with tenant_viewonly not being able to read operators.1.1.0Fix various bugs, issue #1, and Python 3 support1.0.0Initial Release.
Package: cloudgenix-serial-report
CloudGenix Serial ReportUtility to dump all CloudGenix network serial information to an .XLSX fileRequirementsActive CloudGenix AccountPython >= 2.7 or >=3.6Python modules:cloudgenix >= 5.0.1b1 -https://github.com/CloudGenix/sdk-pythoncloudgenix_idname >= 1.2.0 -https://github.com/ebob9/cloudgenix-idnameopenpyxl == 2.5.4 -https://bitbucket.org/openpyxl/openpyxlLicenseMITUsage Example:edwards-mbp-pro:Desktopaaron$serial_report
CloudGenixSerialReportv5.0.1b1(https://api-test.elcapitan.cloudgenix.com)login:aaron@cloudgenix.com
Password:BuildingID->Namelookuptable.
QueryingAPIs.
ParsingResponses.
BuildingReports.
edwards-mbp-pro:Desktopaaron$VersionVersionChanges1.0.2Removed "UTC" from data to allow date sorting to work correctly1.0.1Added strict openpyxl version (2.5.4)1.0.0Initial Release.
Package: cloudgenix-tenant-acl
cloudgenix_tenant_aclScripts to Download, Upload, and Optimize a CloudGenix Tenant Access List.pull_acl[.py]: Download a tenant ACL list.usage: pull_acl.py [-h] --output OUTPUT [--no-client-login] [--controller CONTROLLER] [--email EMAIL] [--password PASSWORD] [--insecure] [--noregion]
                   [--sdkdebug SDKDEBUG]do_acl[.py]: Upload and activate a tenant ACL list.usage: do_acl.py [-h] --input INPUT [--archive ARCHIVE] [--no-client-login] [--controller CONTROLLER] [--email EMAIL] [--password PASSWORD] [--insecure] [--noregion]
                 [--sdkdebug SDKDEBUG]optimize_acl[.py]: Optimize a tenant ACL list with a lossy superneting function.usage: optimize_acl.py [-h] --input INPUT --output OUTPUT [--match-quality MATCH_QUALITY] [--ip-mismatch-limit IP_MISMATCH_LIMIT]VersionVersionBuildChanges1.0.0b2Bugfix of ipv4 list renderingb1Initial Release.
Package: cloudgram-telethon
⭐️ Thankseveryonewho has starred the project, it means a lot!Telethonis anasyncioPython 3MTProtolibrary to interact withTelegram’s API
as a user or through a bot account (bot API alternative).ImportantIf you have code using Telethon before its 1.0 version, you must
readCompatibility and Convenienceto learn how to migrate.What is this?Telegram is a popular messaging application. This library is meant
to make it easy for you to write Python programs that can interact
with Telegram. Think of it as a wrapper that has already done the
heavy job for you, so you can focus on developing an application.Installingpip3installtelethonCreating a clientimportasynciofromtelethonimportTelegramClient,events# These example values won't work. You must get your own api_id and# api_hash from https://my.telegram.org, under API Development.api_id=12345api_hash='0123456789abcdef0123456789abcdef'asyncdefmain():client=TelegramClient('session_name',api_id,api_hash)awaitclient.start()asyncio.run(main())Doing stuffprint((awaitclient.get_me()).stringify())awaitclient.send_message('username','Hello! Talking to you from Telethon')awaitclient.send_file('username','/home/myself/Pictures/holidays.jpg')awaitclient.download_profile_photo('me')messages=awaitclient.get_messages('username')awaitmessages[0].download_media()@client.on(events.NewMessage(pattern='(?i)hi|hello'))asyncdefhandler(event):awaitevent.respond('Hey!')Next stepsDo you like how Telethon looks? Check outRead The Docsfor a more
in-depth explanation, with examples, troubleshooting issues, and more
useful information.
Package: cloudhealth-cli
cloudhealth-fluentOverviewThis is afluentAPI that allows users to export CloudHealth data to Excel.#Quickstart$ pip install cloudhealth-fluentHere's a quick example that shows all the features of the fluent API.from cloudhealth import CloudHealth
c = CloudHealth(ApiKey='CLOUDHEALTH API KEY')
data = c.new().with_measures(['cost', 'ec2_cost_compute', 'ec2_cost_transfer']) \
         .with_select_filter(('AWS-Account',
                              ['012345678901'])) \
         .with_report('olap_reports/cost/current/instance') \
         .with_time('daily') \
         .with_dimension('time') \
         .with_dimension('EC2-Instance-Types') \
         .get_report()
    c.build_data(data)
    c.write_excel('report.xlsx')
Package: cloudhealth-client
Cloudhealth REST ClientThis is a Python REST Client for the Cloudhealth service.Installationpipinstallcloudhealth-client# Clone repogitclonehttps://github.com/albertonarro/cloudhealth-client.gitPython Usage>>>fromcloudhealthimportclient>>>ch=client.CloudHealth(api_key='Ali23melAS$E#@$Im3lsim1!')# List all queryable assets>>>ch.assets.list()['AwsInstanceType','AwsAvailabilityZone','AwsAccount',...]# List Reports of Specific Type>>>ch.reports.list_by_type('cost'){'links':{'cost/billing_rules':{'href':'https://chapi.cloudhealthtech.com/olap_reports/cost/billing_rules'},'cost/current':{'href':'https://chapi.cloudhealthtech.com/olap_reports/cost/current'},......}}Testing[!WIP]Contributions..[!WIP]
Package: cloud-helper
Cloud HelperThe Cloud Helper is a basic wrapper over various cloud libraries
for different cloud providers. Which is a single point to connect
various cloud vendors and perform operations to the respective
cloud services.InstallationYou can install the Cloud Helper fromPyPI:pip install cloud-helperThe Cloud Helper is supported on Python 3.6 and above.How to useOne of the very reason to create the library is to have a single
library which provides facilities of connecting to various cloud providers
and perform various operations.
Another reason is a way to run your application and decide whether the
application should connect to local cloud environment running in a
Docker container or to an original cloud service, with just a simple
environment variable set prior to run your application.This powerfull feature will allow you to decide to run your application
in local docker environment or in a production environmentwithout changing
your code.Example:Install a local AWS environment.Localstack is one of the great tool,
which can be install by using the following command:$pipinstalllocalstackNOTE -make sure you haveDockerinstalled before running localstack commandspin-up your localstack environment using Docker$localstackstartLocalstack exposes a proxy URL:http://localhost:4566Setup an environment variable using the above proxy url:exportAWS_LOCAL_PROXY=http://localhost:4566Now you can use the code from this library
without passing any endpoint proxy url:fromcloud_helper.aws_helper.connectionsimportclients3_client=client("s3")fromcloud_helper.aws_helper.connectionsimportresources3_resource=resource("s3")fromcloud_helper.aws_helper.connectionsimportSessionsession=Session()Author NotesThis library is under progress.I, as an author, will add different features in near future.License & copyrightLicensed under theMIT License
Package: cloudia
CloudiaTools to easily create a word cloud.from stringfrom str or List[str]from cloudia import Cloudia

text1 = "text data..."
text2 = "text data..."

# from str
Cloudia(text1).plot()

# from list
Cloudia([text1, text2]).plot()example from :20 NewsgroupsWe can also make it from Tuple.from cloudia import Cloudia

text1 = "text data..."
text2 = "text data..."
Cloudia([ ("cloudia 1", text1), ("cloudia 2", text2) ]).plot()Tuple is ("IMAGE TITLE", "TEXT").from pandasWe can use pandas.df = pd.DataFrame({'wc1': ['sample1','sample2'], 'wc2': ['hoge hoge piyo piyo fuga', 'hoge']})

# plot from df
Cloudia(df).plot()

# add df method
df.wc.plot(dark_theme=True)from pandas.DataFrame or pandas.Series.We can use Tuple too.Cloudia( ("IMAGE TITLE", pd.Series(['hoge'])) ).plot()from japaneseWe can process Japanese too.text = "これはCloudiaのテストです。WordCloudをつくるには本来、形態素解析の導入が必要になります。Cloudiaはmecabのような形態素解析器の導入は必要はなくnagisaを利用した動的な生成を行う事ができます。nagisaとjapanize-matplotlibは、形態素解析を必要としてきたWordCloud生成に対して、Cloudiaに対して大きく貢献しました。ここに感謝の意を述べたいと思います。"

Cloudia(text).plot()from japanese without morphological analysis module.No need to introduce morphological analysis.Installpip install cloudiaArgsCloudia args.Cloudia(
  data,    # text data
  single_words=[],    # It's not split word list, example: ["neural network"]
  stop_words=STOPWORDS,    # not count words, default is wordcloud.STOPWORDS
  extract_postags=['名詞', '英単語', 'ローマ字文'],    # part of speech for japanese
  parse_func=None,    # split text function, example: lambda x: x.split(',')
  multiprocess=True,    # Flag for using multiprocessing
  individual=False    # flag for ' '.join(word) with parse 
)plot method args.Cloudia().plot(
    dark_theme=False,    # color theme
    title_size=12,     # title text size
    row_num=3,    # for example, 12 wordcloud, row_num=3 -> 4*3image
    figsize_rate=2    # figure size rate
)save method args.Cloudia().save(
    file_path,    # save figure image path
    dark_theme=False,
    title_size=12, 
    row_num=3,
    figsize_rate=2
)pandas.DataFrame, pandas.Series wc.plot method args.DataFrame.wc.plot(
  single_words=[],    # It's not split word list, example: ["neural network"]
  stop_words=STOPWORDS,    # not count words, default is wordcloud.STOPWORDS
  extract_postags=['名詞', '英単語', 'ローマ字文'],    # part of speech for japanese
  parse_func=None,    # split text function, example: lambda x: x.split(',')
  multiprocess=True,    # Flag for using multiprocessing
  individual=False,    # flag for ' '.join(word) with parse 
  dark_theme=False,    # color theme
  title_size=12,     # title text size
  row_num=3,    # for example, 12 wordcloud, row_num=3 -> 4*3image
  figsize_rate=2    # figure size rate
)If we use wc.save, setting file_path args.Thanksjapanize-matplotlibnagisa
Package: cloudify-agent-packager
# Cloudify Agent PackagerMaster [![Circle CI](https://circleci.com/gh/cloudify-cosmo/cloudify-agent-packager/tree/master.svg?style=shield)](https://circleci.com/gh/cloudify-cosmo/cloudify-agent-packager/tree/master)Master Branch [![Build Status](https://travis-ci.org/cloudify-cosmo/cloudify-agent-packager.svg?branch=master)](https://travis-ci.org/cloudify-cosmo/cloudify-agent-packager)PyPI [![PyPI](http://img.shields.io/pypi/dm/cloudify-agent-packager.svg)](http://img.shields.io/pypi/dm/cloudify-agent-packager.svg)Version [![PypI](http://img.shields.io/pypi/v/cloudify-agent-packager.svg)](http://img.shields.io/pypi/v/cloudify-agent-packager.svg)This tool allows users to create personalized Cloudify agent packages (For now, Linux Only!).See [Cloudify’s Agent Packager](http://getcloudify.org/guide/agents-packager.html) for more information.
Package: cloudily
Getting StartedYou’ll needgraphvizinstalled, and optionallyimagemagickto use the--previewfunctionality.On Ubuntu:$ sudo apt-get install graphviz imagemagickInstall cloudily fromPyPIlike so:$ sudo pip install cloudilyRun cloudily:$ cloudily --ec2 instances,elb --conns --previewOpen montage.png in your favourite image viewer:$ qiv montage.pngThe--previewmakes a montage of the various graphviz layouts available.
Depending on your network usually ‘dot’ produces the cleaner layouts, but others
may work better / look cooler.Visualizing EC2 hostsUse the--ec2option to visualize your EC2 instances and ELBs. Run:$ cloudily --ec2 instances,elb --conns --png myarch.pngYou need to set your Amazon credentials as environment variables: AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY or configure them in ~/.boto. For more information see:http://code.google.com/p/boto/wiki/BotoConfig--ec2groupsmay be used to filter by security group. This accepts a comma-
separated list of multiple groups. eg.--ec2groupsgroup1,group2DiscoveryThere are various ways Cloudily can discover the connections between your
hosts.--arp: Looks at the IP addresses in the arp cache. This has limited use inside
EC2, since hosts are usually on different subnets, but maybe useful for other
setups.--conns: Looks at the currently open UDP and TCP connections for each host. If
the system is active or there is connection pooling (eg. most database
libraries) you should see everything, otherwise there’s a chance you’ll
not see connections through inactivity.--logins: Includes logins by username in the diagram so you can see who logs
in to which hosts.Other optionsWith--connsyou can also limit to a selection of ports using--connsports80,3306. This is handy if you’re only interested in specific services.Changelog0.1.4Robustify code to missing values. Fixes #3Add –ec2groups option. Fixes #1Fix for internal ELBs. Fixes #20.1.3.ssh/config optional0.1.2Fix defaults0.1.1First release
Package: cloudimage
Cloudimage python librarycloudimageis the name of python library that will give automatically functions to use Cloudimage services.
Install by:pip3 install cloudimageUsagefrom cloudimage.URLBuilder import URLBuilder

urlBuilder = URLBuilder("demo", domain="cloudimg.io", version="v6")
#urlBuilder.printinfo()

path = "http://www.fmwconcepts.com/imagemagick/smartcrop/images/sofa_cat_small.jpg"
url = urlBuilder.createURL(path, filters={"fcontrast": "50", "fbright": 50})
print(url)
Package: cloud-import
Import Python modules straight from the cloud (e.g. GitHub) at runtime!Installationpip:pip install cloud_importno pip: copycloud_import.pyinto your projectUsageSeeexamples/example1.pyWhy?This can be used to entirely skip the "deployment" step for internal tooling, that's not meant for distribution or public usage.Originally byJames Murphy- check out his video "You won't believe it! Import from the Cloud"LimitationsNo dependency handlingFixed URL structure: the source code for modulefoo.barmust be accessible at<url>/foo/bar/*.pyBad things will happen if the cloud source code changes while a package (with multiple modules) is being imported
Package: cloudinary
Cloudinary Python SDKAboutThe Cloudinary Python SDK allows you to quickly and easily integrate your application with Cloudinary.
Effortlessly optimize, transform, upload and manage your cloud's assets.NoteThis Readme provides basic installation and usage information.
For the complete documentation, see thePython SDK Guide.Table of ContentsKey FeaturesVersion SupportInstallationUsageSetupTransform and Optimize AssetsDjangoKey FeaturesTransformandoptimizeassets.Generateimageandvideotags.Asset Management.Secure URLs.Version SupportSDK VersionPython 2.7Python 3.x1.x✔✔SDK VersionDjango 1.11Django 2.xDjango 3.xDjango 4.x1.x✔✔✔✔InstallationpipinstallcloudinaryUsageSetupimportcloudinaryTransform and Optimize AssetsSee full documentation.cloudinary.utils.cloudinary_url("sample.jpg",width=100,height=150,crop="fill")UploadSee full documentation.Learn more about configuring your uploads with upload presets.cloudinary.uploader.upload("my_picture.jpg")DjangoSee full documentation.Security optionsSee full documentation.Sample projectsSample projects.Django Photo Album.ContributionsEnsure tests run locally.Open a PR and ensure Travis tests pass.SeeCONTRIBUTING.Get HelpIf you run into an issue or have a question, you can either:Issues related to the SDK:Open a GitHub issue.Issues related to your account:Open a support ticket.About CloudinaryCloudinary is a powerful media API for websites and mobile apps alike, Cloudinary enables developers to efficiently
manage, transform, optimize, and deliver images and videos through multiple CDNs. Ultimately, viewers enjoy responsive
and personalized visual-media experiences—irrespective of the viewing device.Additional ResourcesCloudinary Transformation and REST API References: Comprehensive references, including syntax and examples for all SDKs.MediaJams.dev: Bite-size use-case tutorials written by and for Cloudinary DevelopersDevJams: Cloudinary developer podcasts on YouTube.Cloudinary Academy: Free self-paced courses, instructor-led virtual courses, and on-site courses.Code Explorers and Feature Demos: A one-stop shop for all code explorers, Postman collections, and feature demos found in the docs.Cloudinary Roadmap: Your chance to follow, vote, or suggest what Cloudinary should develop next.Cloudinary Facebook Community: Learn from and offer help to other Cloudinary developers.Cloudinary Account Registration: Free Cloudinary account registration.Cloudinary Website: Learn about Cloudinary's products, partners, customers, pricing, and more.LicenceReleased under the MIT license.