Saravanan666/pypi-org huggingface dataset:
Package: ng.app.converter
[name:недописано]* Sun Jul 12 2009 Andrey Orlov <dbdt@dreambot.ru> 1.0.8- NameSpace "converter" added, this namespace intend to lookup utitility,registered as IConverter by name;- Some speed up was archived by optimisation of IPropertySheet adapter;- ConverterKeyword added. The converter intended to obtain keywords from text bymeans of some ruleset;- Prototype of ConverterDictProxy added. Please, don't use it.* Wed Feb 11 2009 Andrey Orlov <dbdt@dreambot.ru> 1.0.7- Regexp converter has been enchanced in url quoting functions;* Sat Jan 17 2009 Andrey Orlov <dbdt@dreambot.ru> 1.0.6- The base class added to be base of other multiregexp converters;- "Simple ReST" converter added;- Many field added to allow customize ReST converter;- Common test view for converters enchanced;* Thu Feb 21 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.5- Default value changed for sententce matching regexp of annotator;- Default value set into class attribute "minimalrating" of annotator;* Wed Feb 06 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.4- Save data in cache occurs now only if changed- Bug in annotator by means of converter changed any time fixed;* Sat Feb 02 2008 Andrey Orlov <dbdt@dreambot.ru>   1.0.3- The get method added into IPS interface- Bug in max mtime evaluation code of cnverterchain fixed- In annotator converter new default pattern added to match- All adding forms are fixed* Mon Jan 21 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.2- Debuging statements removed- Zope3.4 compatibility fixes* Wed Jan  9 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.1- Time modifcation callculation changed- Some documentation added- Some converters change name* Thu Jan  3 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.0- first official release
Package: ng.app.link
[name:недописано]* Mon Jul 07 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.0- The ng.app.link has been separated from ng.app.rubricator* Mon Jan 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.2.3- Zope 3.4 compatibiblity fixes* Thu Jan 3 2008 Andrey Orlov <cray@neural.ru> 0.2.2- first official release
Package: ng.app.objectqueue
[name:недописано]* Sun Jul 12 2009 Andrey Orlov <dbdt@dreambot.ru> 0.0.8- Moving and Copying events support added;- Default value for length added;* Sun Aug 31 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.7- Documentation enchanced- Special permissions entered* Thu Feb 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.6- NullSublocations added ad ISublocations adapter to avoid eventdistribution on object in queue. ObjectQueue can be safe removed now.* Sat Feb 02 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.5- Permisson changed* Wed Jan 30 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.4- Swithes changed queue behavior (used, last, ignore modiffy) added- Object queue stored as annotations are available now* Fri Jan 25 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.3- Some bugs fixed* Wed Jan 23 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.2- Possibility use objectqueue as annotation added* Sun Jan 13 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.1- first official release
Package: ng.app.photo
[name:недописано]* Mon Sep 08 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.2- Route on angle 90, 180, 270 fixed- Some permission changed- Special factory added used to select object name* Fri Feb 08 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.1- first official release
Package: ng.app.quota
[name:недописано]* Tue Apr 07 2009 Andrey Orlov <dbdt@dreambot.ru> 1.1.0- Histagram view with optimal quantization added- Fix some bug quota emite during data.fs creation* Tue Apr 29 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.9- Deprecated code (import zope.app.event) removed- Insruction rewrited* Thu Feb 21 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.8- Some race condition bugs fixed* Sat Feb 02 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.7- Permissions changed* Wed Jan 30 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.6- Debug statements are excluded- Errorneus changing quota on race condition fixed* Tue Jan 29 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.5- Interfaces changed- Enumeration of quota logic changed* Sun Jan 27 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.4- Bug with root quota fixed- Root quota reindex changed* Sun Jan 27 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.3- It Used On Real Site;- Quota can be use only as statistic now;- Histogram and statistic reddisgned;- There are muliquota dispatcher- Quota may be annotation of contaner and limit its content- Quota use IRecordSize adapter to calculate any object size. No specialcustomizing and write any adapters need any more;- Some statistic parameters added;* Wed Nov 7 2007 Andrey Orlov <cray@neural.ru> 0.0.2- first official release
Package: ng.app.registry
This is only first experimental prototype. Please don't use.[name:недописано]* Thu Feb 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.1.2- Some debug statement excluded- RegistryTextItem added* Wed Feb 06 2008 Andrey Orlov <dbdt@dreambot.ru> 0.1.1- method export added- adapter added- namespace added- Syntax fixed* Thu Jan 17 2008 Andrey Orlov <dbdt@dreambot.ru> 0.1.0- All you want has been made.* Sun Jan 13 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.1- first official release
Package: ng.app.rss
[name:недописано]* Sun Aug 31 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.5- The rssview.html view enchanced to better standard comptibility* Wed Jan 30 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.4- Debug statements excluded- Possibility using objectqueues from annotations fixed.* Fri Jan 25 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.3- The "Updated" field fixed- Template fixed* Wed Jan 23 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.2- Bugs appear during moving objectqueue fixed* Mon Jan 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.1- first official release
Package: ng.app.rubricator.algorithm.base
[name:недописано]* Mon Sep 01 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.1- Some documentation wrote.* Mon Jul 07 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.0- The ng.app.rubricator.algorithm.base has been separated from ng.app.rubricator* Mon Jan 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.2.3- Zope 3.4 compatibiblity fixes* Thu Jan 3 2008 Andrey Orlov <cray@neural.ru> 0.2.2- first official release
Package: ng.app.smartbanner
###[name:недописано]* Thu Oct 23 2008 Andrey Orlov <dbdt@dreambot.ru> 0.1.2- Default values and limits set on banner field;- Choice algoritm use filter() now;- Error conditions on empty banner set fixed and special"Dumb Banner" added;* Sun Sep 14 2008 Andrey Orlov <dbdt@dreambot.ru> 0.1.1- Try ... finally cllause added (not tested yet)- Some dependences added* Sat Sep 06 2008 Andrey Orlov <dbdt@dreambot.ru> 0.1.0- Banner code template changed to w3c compatibility- Expirimental possibility to use multiply storage added- Different algorithms to random choice banner added- Random banner view added* Sat Sep 06 2008 Andrey Orlov <dbdt@dreambot.ru> 0.1.0* Wed Jan 23 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.3- Special view for ordered container added* Sa Dec 29 2007 Yegor Shershnev <dbdt@dreambot.ru> 0.0.2- first official release
Package: ng-banks
NG_BANKSPython implementation ofng-banks.INSTALLATIONThe package is available on Pypi for installation. To install simply run the command in your terminalpipinstallng_banksThe package contains two methods:getBanks(): this method is used to retrieve all the banks in the system.getBank(slugOrCode): this method is used to retrieve a particular based on the parameter supplied. The parameter can either the be the slug of the bank or the bank code. For slugs or code that don't exist, this method returns None.USAGE>>>fromng_banksimportgetBank,getBanks

>>>getBanks()# should print an array of banks>>>getBank('GTB')# returns {'name': 'GUARANTY TRUST BANK PLC', 'code': '058', 'slug': 'GTB' }>>>getBank('044')# returns {'name': 'ACCESS BANK PLC', 'code': '044', 'slug': 'ACC' },CONTRIBUTORSThis package is authored by Bolaji Olajide.
Package: ngblog
ngblog======:author: Nerd Gordo <nerdgordo@nerdgordo.com>:copyright: BSD, see LICENSE for details.This is a simple and easy to use plain-text-like blogging engine, that wascreated to power http://nerdgordo.com/.Installation------------As easy as pie::$ pip install ngblog``ngblog`` relies on ``figlet`` to generate the blog title. Install it withyour distro's package manager.This thing just works on Linux, probably.Start the blog--------------Create the directory and the configuration file::$ mkdir blog$ vim blog/config.iniAdd something like this to the file::[settings]title = Blog Titleheadline = Blog Headlinefootline = Blog Footline -- Multi-linecapableauthor_name = My Nameauthor_email = example@example.comCreate a sample post::$ mkdir -p blog/2011/10/30$ vim blog/2011/10/30/my-post.txtAdd anything you want to the post::This is my titleThis is my body.I'm a simple parser, but I can recognize paragraphs. ;)The directory structure of the posts is important, because it is used forget the publishing date.You might want to store your text files in a Git repository, for history andstuff.Build the blog--------------``ngblog`` script is your friend::$ ngblog --srcdir blogThis will put the generated files in ``blog/_build``. Open the file``blog/_build/index.html`` in any browser to review your blog.Build the files again, now with your domain as the base URL::$ ngblog --srcdir blog --baseurl http://example.com/Feel free to upload these files to your server with some tool like ``rsync``.Take a look at the ``ngblog`` help to see the available options::$ ngblog --help
Package: ngboost
NGBoost: Natural Gradient Boosting for Probabilistic Predictionngboost is a Python library that implements Natural Gradient Boosting, as described in"NGBoost: Natural Gradient Boosting for Probabilistic Prediction". It is built on top ofScikit-Learn, and is designed to be scalable and modular with respect to choice of proper scoring rule, distribution, and base learner. A didactic introduction to the methodology underlying NGBoost is available in thisslide deck.Installationviapip

pipinstall--upgradengboost

viaconda-forge

condainstall-cconda-forgengboostUsageProbabilistic regression example on the Boston housing dataset:fromngboostimportNGBRegressorfromsklearn.model_selectionimporttrain_test_splitfromsklearn.metricsimportmean_squared_error#Load Boston housing datasetdata_url="http://lib.stat.cmu.edu/datasets/boston"raw_df=pd.read_csv(data_url,sep="\s+",skiprows=22,header=None)X=np.hstack([raw_df.values[::2,:],raw_df.values[1::2,:2]])Y=raw_df.values[1::2,2]X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.2)ngb=NGBRegressor().fit(X_train,Y_train)Y_preds=ngb.predict(X_test)Y_dists=ngb.pred_dist(X_test)# test Mean Squared Errortest_MSE=mean_squared_error(Y_preds,Y_test)print('Test MSE',test_MSE)# test Negative Log Likelihoodtest_NLL=-Y_dists.logpdf(Y_test).mean()print('Test NLL',test_NLL)Details on available distributions, scoring rules, learners, tuning, and model interpretation are available in ouruser guide, which also includes numerous usage examples and information on how to add new distributions or scores to NGBoost.LicenseApache License 2.0.ReferenceTony Duan, Anand Avati, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler. 2019.
NGBoost: Natural Gradient Boosting for Probabilistic Prediction.arXiv
Package: ngboost-release
NGBoost: Natural Gradient Boosting for Probabilistic Predictionngboost is a Python library that implements Natural Gradient Boosting, as described in"NGBoost: Natural Gradient Boosting for Probabilistic Prediction". It is built on top ofScikit-Learn, and is designed to be scalable and modular with respect to choice of proper scoring rule, distribution, and base learner. A didactic introduction to the methodology underlying NGBoost is available in thisslide deck.Installationviapip

pipinstall--upgradengboost

viaconda-forge

condainstall-cconda-forgengboostUsageProbabilistic regression example on the Boston housing dataset:fromngboostimportNGBRegressorfromsklearn.datasetsimportload_bostonfromsklearn.model_selectionimporttrain_test_splitfromsklearn.metricsimportmean_squared_errorX,Y=load_boston(True)X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.2)ngb=NGBRegressor().fit(X_train,Y_train)Y_preds=ngb.predict(X_test)Y_dists=ngb.pred_dist(X_test)# test Mean Squared Errortest_MSE=mean_squared_error(Y_preds,Y_test)print('Test MSE',test_MSE)# test Negative Log Likelihoodtest_NLL=-Y_dists.logpdf(Y_test).mean()print('Test NLL',test_NLL)Details on available distributions, scoring rules, learners, tuning, and model interpretation are available in ouruser guide, which also includes numerous usage examples and information on how to add new distributions or scores to NGBoost.LicenseApache License 2.0.ReferenceTony Duan, Anand Avati, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler. 2019.
NGBoost: Natural Gradient Boosting for Probabilistic Prediction.arXiv
Package: ngboost-tuner
ngboost-tunerA CLI Tuner of NGBoostInstallpip install ngboost-tunerBuild from source# Pull the codegitclonegit@github.com:ryan-wolbeck/ngboost-tuner.git# Build the container and detachdocker-composeup--build-d# Exec into the containerdocker-composeexectunerbash# Run the tunerpython-mngboost_tunertune-ifile.tsvExample docker-compose.ymlversion:'3.7'services:tuner:container_name:tunerbuild:.volumes:-.:/usr/src/appenvironment:-TARGET=target-ID=userid-TRAIN_COLUMNS=var1,var2-INPUT_FILE=/usr/src/app/file.tsv-TRAIN_FILE=/usr/src/data/train_dataset.csv-TEST_FILE=/usr/src/data/test_dataset.csv-VALIDATION_FILE=/usr/src/data/val_dataset.csv-SEPERATOR=,-COMPRESSION=gzip-LIGHTGBM=Truerestart:unless-stoppedcommand:tail -f /dev/nullRunngboost_tunertune2>file.log

usage:ngboost_tunertune[-h][-iINPUT][-sINPUT_FILE_SEPERATOR][-ctCOMPRESSION_TYPE][-tfTRAIN_FILE][-tefTEST_FILE][-vfVALIDATION_FILE][-lLIMIT][-idID_KEY][-tTARGET][-cCOLUMN][-efEVALUATION_FRACTION][-mMINIBATCH_FRAC][-dMAX_DEPTH_RANGE][-nN_SEARCH_BOOSTERS][-nfFINAL_BOOSTERS][-lgbmLIGHTGBM]optionalarguments:-h,--helpshowthishelpmessageandexit-iINPUT,--inputINPUT,--input-fileINPUTInputfiledata;defaultsto$INPUT_FILEifnotset-sINPUT_FILE_SEPERATOR,--input-file-seperatorINPUT_FILE_SEPERATORInputdatafileseperator,i.e.commasortabs;defaultsto$SEPERATORifnotset-ctCOMPRESSION_TYPE,--compression-typeCOMPRESSION_TYPEInputdatacompression,i.e.gziporNone;defaultsto$COMPRESSIONifnotset-tfTRAIN_FILE,--train-fileTRAIN_FILEInputtraindata;defaultsto$TRAIN_FILEifnotset-tefTEST_FILE,--test-fileTEST_FILEInputtestdata;defaultsto$TEST_FILEifnotset-vfVALIDATION_FILE,--validation-fileVALIDATION_FILEInputvalidationdata;defaultsto$VALIDATION_FILEifnotset-lLIMIT,--limitLIMITProportionofinputtsvtouse,.2is20percent.Default:1.0orallofinput-idID_KEY,--id-keyID_KEYIDtoconsiderforsplitstopreventleakage.Default:IDenvironmentvariable-tTARGET,--targetTARGETTargetvariable(predictedvariable).Defaultvalue:TARGETenvironmentvariable-cCOLUMN,--columnCOLUMNThefulllistofcolumns:DefaultstoTRAIN_COLUMNSenvironmentvariable-efEVALUATION_FRACTION,--evaluation-fractionEVALUATION_FRACTIONProportionofloadnumsusedforevaluation.2is20percentoftrainingleaving80percenttrain,10percenttest,10percentvalidation.Default=.2-mMINIBATCH_FRAC,--minibatch-fracMINIBATCH_FRACSampleproportionforeachboostingroundduringhyperopt.Default=1.0or100percent-dMAX_DEPTH_RANGE,--max-depth-rangeMAX_DEPTH_RANGETherangetotestthemaxdepthofthebaselearner.Default5testsmax_depth2-5-nN_SEARCH_BOOSTERS,--n-search-boostersN_SEARCH_BOOSTERSNumberofn_estimators(booster)tousewhensearching.Default=20-nfFINAL_BOOSTERS,--final-boostersFINAL_BOOSTERSNumberofn_estimators(booster)tousetorunthefinalmodel.Default=500-lgbmLIGHTGBM,--lightgbmLIGHTGBMSettotrueforlightgbmasbaseregresor.Default$LIGHTGBMReference[1]T. Duan, et al., NGBoost: Natural Gradient Boosting for Probabilistic Prediction (2019), ArXiv 1910.03225
Package: ng-bot
Ng-BotNgrok Bot (Ng-Bot) publishes updated ngrok URLs to telegram chat ids and restricts other users to access the bot or on discord using webhook url.Note: This bot may be used for malicious purposes too. Its upto users how they use this tool/bot. Author is not responsible for user's action in any manner.InstallationClone repogitclone--depth=1https://github.com/dmdhrumilmistry/ng_bot.gitChange directorycdng_botInstall requirementspython3-mpipinstall-rrequirements.txtUsageCreate Ngrok accountComplete Sign Up processAdd new AUTH TOKEN fromdashboardStore variables in.envfileNGROK_AUTH_TOKEN='your_auth_token'TELE_BOT_TOKEN='telegram_bot_token'ALLOWED_USER_IDS=tele_user_id1,tele_user_id2,tele_user_id3DISCORD_WEBHOOK_URL='webhook-url'Above variables can also be stored in environment variablesStart application# for telegrampython3-mng_bot--http8080--tcp224444--platformtelegram# for discordpython3-mng_bot--tcp22--platformdiscord
Package: ngcasa
InstallationInstallation and setup for the Next Generation CASA PrototypePip Installationpython3-mvenvngcasasourcengcasa/bin/activate
pipinstallngcasaConda Installationcondacreate-nngcasapython=3.6
condaactivatengcasa
pipinstallngcasaInstallation from Sourcegitclonehttps://github.com/casangi/ngcasa.gitcdngcasa
python3-mvenvvenvsourcevenv/bin/activate
pipinstall-rrequirements.txt
pythonsetup.pyinstall--root=.Configure dask.distributedTo avoid thread collisions, when using the Dask.distributed Client, set the following environment variables.exportOMP_NUM_THREADS=1exportMKL_NUM_THREADS=1exportOPENBLAS_NUM_THREADS=1Building Documentation from SourceFollow steps to install cngi from source. Then navigate to the docs folder and execute the following:sphinx-build-bhtml../buildView the documentation in your browser by navigating to:file:///path/to/ngcasa/ngcasa/docs/build/index.htmlUsage>>>fromngcasa.synthesis.imagingimportmake_imaging_weights>>>xds=make_imaging_weights(...)Throughout the documentation we use the variable namexdsto refer to Xarray DataSets.xdamay be used to refer to Xarray DataArrays.  This is a "loose" convention only.
Package: ngclib
Neural Graph Consensus library (ngclib)This is a library containing the implementation of various basic blocks in the NGC projectthe baseNGC classas well as various implementations (NGC-V1,NGC-Ensemble)iterative trainer for the ngc (sequential,parallel)semisupervised genericpseudolabels algorithmanalysis of anngcdirfor training and data statusnodes importer-- required to import a repository of nodes containing the basic definition of all nodes and edgesProjects using this library:Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus(accepted at AAAI2021)
Package: ng.content.annotation
* Wed Feb 11 2009 Andrey Orlov <dbdt@dreambot.ru> 0.1.0- Redirect annotation added;- A few annotatons moved into separate packages: ng.content.profile, ng.content.comment;- Adapters enchanced to be compatible with securiy consideraions;- Annotation interfaces titles changed on more human interpretable;* Tue Oct 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.10- CommunityObjectQueue annotation added;- DocShort title adapter added;- FriendShip annotation enchanced;- Use TagVocabulary as interests source;Sun Aug 31 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.9- DocShort annotation added- Profile annotation added- FriendShip annontation added- FriendObjectQueue added- Some documentation enchanced* Sat Apr 05 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.8- Product annotation added- WikiPedia word added into dict annotation- Permissions granted for anonymous* Wed Feb 06 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.7- A few bugs fixed* Sat Feb 02 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.6- Interfaces of annotations enhanced* Mon Jan 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.5- Some bugs fixed* Mon Jan 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.4- Annotations subcribers on IAnyTitle interface added- Changing notifies sent on annotations editing* Sun Jan 13 MSK 2008 Andrey Orlov <dbdt@neural.ru> 0.0.3- Annotations customize for use with ng.content.article* Tue Jan  8  2008 Andrey Orlov <dbdt@neural.ru> 0.0.2- first official release
Package: ng.content.article
* Fri Oct 24 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.9- Interfaces used to select article format fixed* Tue Oct 21 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.8- Create date default fixed* Sun Aug 31 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.7- Some documenteation enchanced- Interfaces IAbstractShowable an IIconShowable added- Adapters IAbsatractContainer and IIconContainer added- Adapter ArticleLink added to allow access to registered IArticleutility by name.* Tue Jul 01 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.6- Created time in interface set by means DynamicDefault-modificated field,It use as default current time now.* Thu Feb 21 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.5- Created time on init set into applicable value;* Sat Feb 02 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.4- Default view excluded* Wed Jan 23 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.3- MainContainer can be ordered now* Mon Jan 21 2008 Andrey Orlov <dbdt@dreambot.ru> 1.0.2- Logotype added into main container as logo attribute* Tue Jan  8 2008  Andrey Orlov <dbdt@dreambot.ru> 1.0.1- first official release
Package: ng.content.profile
[name:недописано]* Wed Feb 11 2009 Andrey Orlov <dbdt@dreambot.ru> 0.0.4- Annotation friendshipannotation added;- Annotation communityobjectqueueannotation added;- Annotation friendobjectqueueannotation added;- Annotation profileannotation added;- Password field added into profile annotation;- A few debuging code removed;* Tue Oct 21 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.3- Fixed errors* Fri Sep 12 2008 Andrey Orlov <dbdt@dreambot.ru> 0.0.2- first official release
Package: ngcp-xbee
This project is a version of the XBee Python library, an
easy-to-use API developed in Python that allows you to interact with Digi
International’sXBeeradio frequency (RF)
modules. It has been edited to be compatible with Python 2.This source has been contributed by Digi International, with modifications by Tiana Ton Nu.InstallationYou can install this version of the XBee Python library usingpip:$ pip install ngcp-xbeeInstall from SourceYou can install XBee Python library directly from the source file. To do
so, extract the source code to your computer and, from its root
directory, execute the following command:$ python setup.py installDocumentationXBee Python library has user guide and API reference documentation hosted on
Read the Docs. You can find the latest, most up to date, documentation atlatest docs. To see only those
features which have been released, check out thestable docs.How to contributeThe contributing guidelines are in theCONTRIBUTING.rst document.LicenseCopyright 2017, Digi International Inc.TheMPL 2.0 licensecovers the majority of this project with the following exceptions:TheISC licensecovers the contents of the examples directory.