Saravanan666/pypi-org huggingface dataset:
Package: wordcloud-lite
wordcloud_liteLightweight WordCloud GeneratorWordcloud_lite is a Python package to generate Word Cloud from the text data. WordCloud is a visual representation of the most common words within the text data. It is used most often for tags on the websites.Few points:There should not be any mising value before passing the data to the generate_wordcloud method.It generates a fix size of the image.You can pass additional parameters to customize the wordcloud.Installationpipinstallwordcloud-liteDependencieswordcloud_lite uses a number of open source packages to work properly:NLTK- For text processingwordcloud- To work on wordcloudpillow- To deal with imagesmatplotlib- Data Visualization packageAnd of course wordcloud_lite itself is open source with a public repositoryhttps://github.com/sonucr7/wordcloud_liteon GitHub.Usesfromwordcloud_lite.wclimportWordCloudLiteimportpandasaspdimportmatplotlib.pyplotasplt%matplotlibinlinedata=pd.read_csv("data.csv")#generate wordcloudWordCloudLite.generate_wordcloud(data['column_having_text_records'])LicenseMIT
Package: wordcount-demo
wordcount_demoA demo for creating a word count packageInstallation$pipinstallwordcount_demoUsageTODOContributingInterested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.Licensewordcount_demowas created by Nick_Mao. It is licensed under the terms of the MIT license.Creditswordcount_demowas created withcookiecutterand thepy-pkgs-cookiecuttertemplate.
Package: wordcounter
A Python Word Counter moduleInstallationpipinstallwordcounterUsageImport the module after installationimportwordcounterCreate a object with sentence and delimiter as arguments to WordCounter class. Default value for delimiter is ‘ ‘ (a single space)word_counter=WordCounter('The, quick, brown, fox, jumps, over, the, lazy, dog',delimiter=', ')Get word countword_counter.get_word_count()Get count of specific wordsword_counter.count('the')# a case insensitive count# if you want to have a case sensitive search just set ignore_case=Falseword_counter.count('the',ignore_case=False)# a case sensitive countGet word frequenciesword_counter.get_word_frequencies()
Package: word-counter
word-counterCount the number of words on the specified URL(s).Requirementspython 3.4+libicu-develInstallationIn case of CentOS8, execute as follows:# dnf -y install libicu-devel
# pip install word-counterUsage (CLI)Count words.$word-counter--klass'site-content'https://blogs.cisco.com/developer{"count":226,"count_duplicates":377,"words":{",":18,"2020":11,".":11,..."DevNetAPIsnetwork":1,"monitoringStealthwatch":1,"1234":1}}Count words in multiple URLs.$word-counter\>https://blogs.cisco.com/developer/node-red-webinar\>https://blogs.cisco.com/developer/meraki-python-sdk-webinar\>https://blogs.cisco.com/developer/understanding-meraki-apis{"count":404,"count_duplicates":1018,"words":{",":51,"the":36,"and":30,..."Related":1,"Resources":1,"certifications":1}}
Package: wordcounts
wordcountsThis package helps count the number of words in a given textInstallation$pipinstallwordcountsUsagewordcountscan be used to count words in a text file and plot results
as follows:fromwordcounts.wordcountsimportcount_wordsfromwordcounts.plottingimportplot_wordsimportmatplotlib.pyplotaspltfile_path="test.txt"# path to your filecounts=count_words(file_path)fig=plot_words(counts,n=10)plt.show()ContributingInterested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.Licensewordcountswas created by valli akella. It is licensed under the terms of the MIT license.Creditswordcountswas created withcookiecutterand thepy-pkgs-cookiecuttertemplate.
Package: worde4mde
WordE4MDEWordE4MDE is a Python library that provides word embeddings for the MDE domain.Installation 🛠Using pip:pipinstallworde4mdeUsageFirst of all, you need to load the embeddings (currently supported:'sgram-mde'and'glove-mde').fromworde4mdeimportload_embeddingssgram_mde=load_embeddings('sgram-mde')Theload_embeddingsfunction returns aKeyedVectorsobject from
thegensim library. If you want to retrieve the most similar
words to a given word, you can use themost_similarfunction:word='ecore'sgram_mde.most_similar(positive=[word])>>>[('emf',0.6336350440979004),('metamodels',0.5963817834854126),('ecorebased',0.5922590494155884),...Furthermore, if you want to get the embedding of a given word, just write the following:sgram_mde[word]>>>[0.146746470.427041620.177172030.051791580.38020504-0.00091264...
Package: word-embedder
# word-embedder[![travis][travis-image]][travis-url][![pypi][pypi-image]][pypi-url][travis-image]: https://img.shields.io/travis/Yoctol/word-embedder.svg?style=flat[travis-url]: https://travis-ci.org/Yoctol/word-embedder[pypi-image]: https://img.shields.io/pypi/v/word-embedder.svg?style=flat[pypi-url]: https://pypi.python.org/pypi/word-embedderGet pretrained word embedding## Installation### Requirements* Linux* Python 3.6 and up`$ pip install word-embedder`## Usage### Lookup all existed embedders```pythonfrom word_embedder import liblib.list_all_embedders()  # returns a list of embedder name```### Use an existed embedder1. load an embedder called OHOH```pythonfrom word_embedder import libname = 'OHOH'  # embedder nameembedder = lib[name]```2. extract a word vector- (1) given a word 'juice' (str)```pythonword = 'juice'embedder[word]  # returns the corresponding word vector# Note: if 'juice' is not in the vocabulary,# OOVError would be raised.```- (2) given an index 3 (int)```pythonindex = 3embedder[index]  # returns the corresponding word vector# Note: if the index is out of range of vocabulary size,# OOVError would be raised.```
Package: word-embeddings-benchmarks
Word Embeddings BenchmarksUpdated WEB version. Original repository:https://github.com/kudkudak/word-embeddings-benchmarksWord Embedding Benchmark (web) package is focused on providing methods for easy evaluating and reportingresults on common benchmarks (analogy, similarity and categorization).Research goal of the package is to help drive research in word embeddings by easily accessible reproducibleresults (as there is a lot of contradictory results in the literature right now).This should also help to answer question if we should devise new methods for evaluating word embeddings.To evaluate your embedding (converted to word2vec or python dict pickle)on all fast-running benchmarks execute./scripts/eval_on_all.py<path-to-file>.Seehereresults for embeddings available in the package.Warnings and Disclaimers:Analogy test does not normalize internally word embeddings.Package is currently under development, and we expect within next few months an official release. The main issue that might hit you at the moment is rather long embeddings loading times (especially if you use fetchers).Please also refer to our recent publication on evaluation methodshttps://arxiv.org/abs/1702.02170.Features:scikit-learn API and conventions18 popular datasets11 word embeddings (word2vec, HPCA, morphoRNNLM, GloVe, LexVec, ConceptNet, HDC/PDC and others)methods to solve analogy, similarity and categorization tasksIncluded datasets:TR9856WordRepGoogle AnalogyMSR AnalogySemEval2012APBLESSBattigESSLI (2b, 2a, 1c)WS353MTurkRG65RWSimLex999MENNote: embeddings are not hosted currently on a proper server, if the download is too slow consider downloading embeddings manually from original sources referred in docstrings.DependenciesPlease seerequirements.txt.InstallThis package uses setuptools. You can install it running:python setup.py installIf you have problems during this installation. First you may need to install the dependencies:pip install -r requirements.txtIf you already have the dependencies listed inrequirements.txtinstalled,to install in your home directory, use:python setup.py install --userTo install for all users on Unix/Linux:python setup.py build

sudo python setup.py installYou can also install it in development mode with:python setup.py developExamplesSeeexamplesfolder.LicenseCode is licensed under MIT, however available embeddings distributed within package might be under different license. If you are unsure please reach to authors (references are included in docstrings)
Package: worden
PROJECT WORDEN - Terminal Based Space DisplayPictured, the epynomous Alfred Worden (the only astronaut I had the privilege to meet in person)ScreenshotsGoalAggregate information from several Space-related APIs into a single, cohesive and (hopefully) cool-looking terminal based interfaceInstallationpip3 install --user --upgrade worden(now, it actually works)This will download the package, dependencies and a launch script.Runningworden(If your PATH includes the pip directories)orpython3 -m wordenFeaturesUpcoming launchesSee available information for the upcoming launches of spacecraftActive AstronautsDisplays a list of all known, active astronautsMaps & TrackingDisplays the world maps and rough position of trackable objectsAstral bodies in the solar systemSee all (?) known astral bodies of the solar system, as well as relevant orbital parameters.ControlsMain menuCtrl+XSwitch to Details panel:ShiftSwitch back to list:Shift+TabUpdate/Refresh MapCtrl+RTrack a launch/Space stationCtrl+TPrevious Page / Next Page</>(i.e.Shift+,/Shift+.on most keyboards)Used APIshttps://spacelaunchnow.me/api/3.3.0/https://open-notify.org/https://api.le-systeme-solaire.net/swagger/#/bodies/get_bodiesFuture features/wishlistOrbital Map [Future]Solar System Map [Future]list of tracked objects displayed on the mapscorrelation between data typesOpen links in the detailsCandidate APIs (for future developments)https://www.n2yo.com/api/https://celestrak.com/
Package: worderrorrate
WordErrorRate.pyAlignment and word error rate calculationsPython version ofWordErrorrate.jl, which, because of Julia, is much faster.Installationpip install git+https://github.com/davidavdav/WordErrorRate.py.gitSynopsisUsage:>>>importworderrorrate>>>## A single comparison / alignment between reference and hypothesis>>>w=worderrorrate.WER(["this","is","a","test"],"this is another".split())>>>print(f"Full alignment:\n{w}")Fullalignment:REF:thisisatestHYP:thisis*anotherEvalccds>>>print("The word error rate is",w.wer())Theworderrorrateis0.5>>>refali,hypali,evalali=w.align()>>>print("Alignment indices:",refali,hypali,evalali)Alignmentindices:[0,1,2,3][0,1,None,2]['c','c','d','s']>>>w.nref## number of words in the reference4>>>w.nhyp## in hypothesis3>>>w.nsub## substitutions1>>>w.nins## insertions0>>>w.ndel## deletions1>>>## Aggregate over multiple pairs of reference and hypothesis>>>ws=worderrorrate.WERs()## multiple utterances>>>ws.append(["this","is","a","test"],"this is another".split())>>>ws.append("a b c d".split(),"a c e".split())>>>ws.wer()0.5>>>ws.nref8>>>ws.nhyp6>>>ws.nsub2>>>ws.nins0>>>ws.ndel2
Package: wordfence
Wordfence CLIWordfence CLI is an open source, high performance, multi-process security scanner, written in Python, that quickly scans network filesystems to detect PHP/other malware and WordPress vulnerabilities. CLI is parallelizable, can be scheduled, can accept input via pipe, and can pipe output to other commands.InstallationWe have a number of installation methods to install Wordfence CLI in ourinstallation documentationwhich we'd recommend reviewing to get you scanning for malware in as few steps as possible.We recommend installing usingpip:pip install wordfenceIf you'd like to install Wordfence CLI manually or use CLI for development, you can clone the GitHub repo to your local environment:git clone git@github.com:wordfence/wordfence-cli.git
cd ./wordfence-cli
pip install .
python main.py versionRequirementsPython >= 3.8The C librarylibpcre>= 8.38Python packages:packaging>= 21.0requests>= 2.3Obtaining a licenseVisithttps://www.wordfence.com/products/wordfence-cli/to obtain a license to download our signature set.UsageYou can runwordfence helpfor a full list of options that can be passed to Wordfence CLI. Read more about theconfiguration optionsthat can be passed to Wordfence CLI.Scanning a directory for malwareRecursively scanning the/var/wwwdirectory for malware:wordfence malware-scan /var/wwwAfull list of examples for the malware scanis included in our documentation.Scanning a WordPress installation for vulnerabilitiesScanning the/var/www/wordpressdirectory for vulnerabilities.wordfence vuln-scan /var/www/wordpressAfull list of examples for the vulnerability scanis included in our documentation.DocumentationThe full documentation for Wordfence CLI can be foundherewhich includes installation instructions, configuration options, detailed examples, and frequently asked questions.LicenseWordfence CLI is open source, licensed under GPLv3. The license can be foundhere.
Package: wordfilter
wordfilterA small module meant for use in text generators. It lets you filter strings for bad words.Getting StartedInstall the module with:npm install wordfiltervarwordfilter=require('wordfilter');wordfilter.blacklisted('does this string have a bad word in it?');// "false"// clear the list entirelywordfilter.clearList();// add new wordswordfilter.addWords(['zebra','elephant']);wordfilter.blacklisted('this string has zebra in it');// "true"// remove a wordwordfilter.removeWord('zebra');wordfilter.blacklisted('this string has zebra in it');// "false"Or with Python:
Install the module with:pip install wordfilterfromwordfilterimportWordfilterwordfilter=Wordfilter()wordfilter.blacklisted('does this string have a bad word in it?')# False# clear the list entirelywordfilter.clearList()# add new wordswordfilter.addWords(['zebra','elephant'])wordfilter.blacklisted('this string has zebra in it')# TrueDocumentationThis is a word filter adapted from code that I use in a lot of my twitter bots. It is based ona list of words that I've hand-pickedfor exclusion from my bots: essentially, it's a list of things that I would not say myself. Generally speaking, they are "words of oppression", aka racist/sexist/ableist things that I would not say.The list is not all-inclusive, and I'm always adding words to it. If you'd like to file an issue or a pull request to add more words, please do so, but understand that this is primarily for use in my own projects, and I may not agree to add certain words. (For example, I have no problem with scatological words, so "shit" and "fuck" will never be on this list.)Words are case insensitive.Also note that due to the complexities of the English language, I am considering anything containing the substring of a bad word to be blacklisted. For example, even though "homogenous" is not a bad word, it contains the substring "homo" and it gets filtered. The reason for this is that new slang pops up all the time using compound words and I can't possibly keep up with it. I'm willing to lose a few words like "homogenous" and "Pakistan" in order to avoid false negatives.ContributingIn lieu of a formal styleguide, take care to maintain the existing coding style. Add unit tests for any new or changed functionality. Lint and test your code usingGrunt.LicenseCopyright (c) 2013 Darius Kazemi
Licensed under the MIT license.
Package: wordflow
WordFlowWordFlow provides several simplified command-line utilities meant to be
composed with UNIX pipes. This package is part ofMaking With Code, a
Constructionist introductory CS curriculum. Most of these utilities duplicate
existing functionality of built-in shell commands, but our goal is to provide the
cleanest, simplest possible interface to maximize expressivity while minimizing cognitive
load for beginners.These utilities read lines of space-separated tokens from stdin and write to
stdout. Several commands have an optionalpositionargument (default=0) specifying
which token to use on each line.Usage examplesFirst, get ahold of a file containing a list of words. A word list is [built in to Unix and Linux](https://en.wikipedia.org/wiki/Words_(Unix). Orhere's a list you can download.Get the 1000 most common words$ cat words.txt | frequency | order | pluck 1 | head -n 1000How many words contain two vowels in a row$ cat words.txt | match "aa|ee|ii|oo|uu" | countWhat's the shortest word containing all five vowels?$ cat words.txt | match "a" | match "e" | match "i" | match "o" | match "u" | length | order | headWhat are the most common ten-letter words?$ cat words.txt | length | put 10 | equal | frequency 2 | order -r | pluck 3 | headWhat's the longest word which contains no repeated letters?$ cat words.txt | length | unique 1 | length | lessthan 0 1 -e | lessthan 1 0 -e |Filtermatch [pattern] [position=0]: Allows lines where the specified word matches
regular expressionpattern. Regular expressions often need to be in quotation marks.lessthan [position0=0] [position1=1] [-e --equal]: Allows lines where the number at
position 0 is less than the number at position 1. When--equal, lines are also
allowed when the two numbers are equal.equal [position0=0] [position1=1]: Allows lines where the number at position 0
is equal to the number at position 1.Mapput [value]Prepends the value to each line.length [position=0]Prepends the length of the specified word to the line.frequency [position=0]Prepends the frequency of the specified word
(approximate number of occurrences per billion words) to the line.pluck [position=0]Replaces each line with the specified token.Sortorder [position=0] [-r --reverse]Sorts lines according to the specified token.
When the specified token is a number, sorts numerically, otherwise lexically.Reducecountcounts the number of lines sent to stdin.
Package: wordfreak
A Python library to extract word frequencies from files.Supported File TypesFile ExtensionExplanationSupported.docMicrosoft Word document pre-2007:x:.docxMicrosoft Word document post-2007:heavy_check_mark:.pdfPortable Document Format:heavy_check_mark:.txtPlain text file:heavy_check_mark:InstallationUse the package managerpipto install..pipinstallwordfreakUsageimportwordfreak# Takes a text source and extracts the word frequencies from it in order from most -> least occurring.# Extracts word frequencies from "inputFile.txt" and returns them as a Python dictionary.wordFrequencies=wordfreak.extractWordFrequencies("C:\\inputFile.txt")# If an output file path is given, it will also save the results there as JSON.wordFrequencies=wordfreak.extractWordFrequencies("C:\\inputFile.txt","C:\\outputFile.json")# Takes a saved word frequencies JSON file and converts it to a Python dictionary.# Loads word frequencies from "wordFrequencies.json" and returns them as a Python dictionary.wordFrequencies=wordfreak.pythonizeWordFrequencies("C:\\wordFrequencies.json")ContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.Please make sure to update tests as appropriate.LicenseMIT
Package: wordFunctions
README!!!author: AdvanceTechversion: 1.1News:
1. Fixed bug in 1.0 that forget to add a docstring.Q: why do I use it?A: It is useful and easy to understandQ: what can I do with it?A: You can count characters, characters without space, space, counting sentences, and counting wordQ: Can I use the functions on .txt files?A: As long as you transform the txt file to str, YES!!!ENJOY!!!!!!!!
Package: wordgame
wordgameA solver for wordgames such as scrabble and countdownInstallInstall from PyPipip3installwordgame--upgrade--userInstall locallypython3-mpipinstall.--userRun programpython3-mwordgame-n10fdofieasgWhich should result in words such asoffside.Common operationsTo run linting, unit tests and package building run the following.makeRun lintingmakecheckorpython3setup.pyflake8Run unit testsmaketestorpython3-munittestPackagingmakebuildorpython3setup.pysdistbdist_wheelUploadingEnsure that the version number is distinct from the previous version.Upload to test instance of PyPitwineupload--repository-urlhttps://test.pypi.org/legacy/dist/*Upload to the proper PyPitwineuploaddist/*Word listwords.txtsource:https://www.instructables.com/id/Python-and-Word-Lists/
Package: wordgeek
版本0.0.4使用方法将cmd终端添加到任务栏，挪到第一个位置，则可以使用快捷键win + 1 快速打开将wk文件夹的路径添加到Windows的环境变量的Path中，使得全局可使用你安装的路径/wkwin + 1 快捷打开cmd，输入wk + [单词] 回车即可显示结果支持目前仅支持查单词的释义更新0.0.3 完成基本功能0.0.4 开启代理也能正常使用
Package: wordgen
Word generator (for all you goddam keeb nerds 🤓)The storyI finally got some time on my hands to learn different layouts and Colemak is what interested me the most. At this point I was already familiar with Monkeytype, but it didn't provide proper learning tools. I looked around for an alternative, but other sites and tools were buggy, limited, too complicated or I wasn't able to find them.This was my solution.wordgengenerates (well, filters out really) curated word lists for you based on your demands. Just starting out? Focusing on justarstandneiomight be more efficient. Want a specific word set? English or anything custom can be loaded in and used as a source for the generator. It even features a convenient--copyflag, which makes Monkeytype's ability to save texts almost useless (although their word randomisation is still awesome).Installationfrom PyPi*nix:pipx install wordgenorpython3 -m pip install wordgenWin:pipx install wordgenorpython -m pip install wordgenNote: May differ based on your installationfrom sourceIf you want to do this, you can probably figure it out. If you can't, give me some time and I'll eventually rewrite this section to be more useful. (or someone can make a pr)ConfigurationAs of version2022.0.1, there isn't any config file, however, you can include your own customcoursesandwordsetsin these paths:systempathLinux$XDG_CONFIG_HOME/.config/wordgen/<courses or words>/($XDG_CONFIG_HOMEdefaults to~/.config/)Mac OS~/Library/Preferences/wordgen/<courses or words>/Win XP or olderC:\Documents and Settings\<username>\Local Settings\Application Data\octelly\wordgen\<courses or words>\Win 7 or newerC:\Users\<username>\AppData\Roaming\octelly\wordgen\<courses or words>\Project versioningyear.breaking.minoryearof release (this resets bothbreakingandminor)goes up in case there's abreakingchange (this resetsminorback to 0)minorgoes up with each updateCreditscode by Octellythe included English wordset is from here:https://gist.github.com/deekayen/4148741
Package: word-gener
Word generator packageThis project generates a random picture, typing a table and puts it in a word file.You can specify a clear length of the generated text and the path where the generated file will be saved.Installingpip install word-generHow to usefromword_gen.word_genimportWordrandom_drawing(shapes)#This function generates a random picture from geometric shapes shapes- shapes of figuresget_table()#This function generates a random fixed-sized table of numbersrandom_string(length)#length- number of letters of random text. This function generates a random set of letters of a given lengthmerge(path)#path- selected save path. This function combines several word files into one single file at the specified path. Possibly can be used as a standalone helper library or smth idk ВЇ\_(гѓ„)_/ВЇtrash_clean()#This function cleans up intermediate filesExamplefromword_gen.word_genimportWordWord.random_drawing('circle''rectangle''ellipse''line)Word.get_table()Word.random_string(12)Word.merge(r"C:\Users\Cherloy\Desktop\testing\result.docx")Word.trash_clean()
Package: wordgenerator
===========Random Word Generator===========Random Word Generator provides a simple way to generate random words from a list of 25,487 words.To use this package looks like this::#!/usr/bin/env pythonfrom word_generator import generate_random_wordprint(generate_random_word())The words are randomly selected from http://svnweb.freebsd.org/csrg/share/dict/words?view=co&content-type=text/plain