Saravanan666/pypi-org huggingface dataset:
Package: libpuzzle
Implementslibpuzzlefor python.It is designed to quickly find visually similar images (GIF, PNG, JPG), even
if they have been resized, recompressed, recolored or slightly modified.Sample applications:finding duplicate images in photo librariesimage classificationimage search servicesmoderation (pictures sent by users on forums, wikis, blogs, etc). Pictures
similar to other pictures that were previously banned can be signaled to
moderators.The library relies on the GD Library in order to load bitmap pictures.On a debian server, installation would be:$ apt -y install libpuzzle-dev libgd2-xpm-dev
$ pip install libpuzzleUsage:from libpuzzle import Puzzle, SIMILARITY_THRESHOLD

puzzle = Puzzle()
sign1 = puzzle.from_filename('img1.jpg')
sign2 = puzzle.from_filename('img2.png')
distance = sign1.distance(sign2)
if distance <= SIMILARITY_THRESHOLD:
    print('images are propably the same')API:SIMILARITY_THRESHOLD
SIMILARITY_HIGH_THRESHOLD
SIMILARITY_LOW_THRESHOLD
SIMILARITY_LOWER_THRESHOLD

class Puzzle:

    max_width  #

    max_height  #

    lambdas  #

    noise_cutoff  #

    p_ratio  #

    contrast_barrier_for_cropping  #

    max_cropping_ratio  #

    autocrop  #

    from_filename(filename) -> Signature
        # hydrate Signature from filename

    from_signature(sign) -> Signature
        # hydrate Signature from value

    from_compressed_signature(sign) -> Signature
        # hydrate Signature from compressed value


class Signature:
    # Implements signature

    value  # the value
    compressed  # the compressed value

    distance(signature) -> float
        # distance between 2 signatures


exception PuzzleError:
    # Raise when something went wrong
Package: libpy
libpyis a library to help you write amazing Python extensions in C++.libpymakes it easy to expose C++ code to Python.libpylets you automatically wrap functions and classes.libpyis designed for high performance and safety: libpy extension modules should be both faster and safer than using the C API directly.Full documentationRequirementslibpy supports:macOS/LinuxPython >=3.5libpy requires:gcc>=9 or clang>=10numpy>=1.11.3Optional Requirementslibpy optionally provides wrappers for the following libraries:google sparsehashInstallTo install for development:$makeOtherwise,pip install libpy, making sureCCandCXXenvironment variables are set to the the right compiler.Note: The installation oflibpywill use thepythonexecutable to
figure out information about your environment. If you are not using a virtual
environment orpythondoes not point to the Python installation you want
to use (checked withwhich pythonandpython--version) you must
point to your Python executable using thePYTHONenvironment variable,
i.e.PYTHON=python3 makeorPYTHON=python3 pip3 install libpy.TestsTo run the unit tests, invoke:$maketest
Package: lib-py-comp
AutoGeneratedDocslib_py_comp.__init__lib_py_comp.dsa.__init__lib_py_comp.dsa.kv_dbclassKeyValueDB()def__init__(self,dataDir)defclear(self)defget(self,key,default=None)defset(self,key,value)defput(self,key,value)defremove(self,key)defdelete(self,key)defbatchWrite(self,setValues,removeValues,sync=True)defiterate(self,key_from=None,key_to=None,include_value=True,reverse=False,)def__iter__(self)lib_py_comp.dsa.byte_arraydefmakeVba(base_path)defmergeVbas(vba1,vba2,out_path)classVariableBytesArray()def__init__(self,base_path:str)defindex_size(self)->intdefdata_size(self)->intdefread_index_bytes(self,offset:int,limit:int)->strdefread_data_bytes(self,offset:int,limit:int)->strdefcount(self)defappend(self,target_bytes)->intdefextendConserve(self,target_bytes_L1)->intdefextendLiberal(self,target_bytes_L1)->intdefextend(self,target_bytes_L1,conserve=False)->intdefget(self,item_id:int)->strdefslice(self,id_lower_bound:int,id_upper_bound:int)defpopK(self,k:int)->intdefclear(self)lib_py_comp.dsa.file_iodeffwrite(fileName,fileRepr,mode='w')deffread(fileName,mode='r')lib_py_comp.dsa.delimited_iodeffwrite(fileName,fileRepr,mode='w')deffread(fileName,mode='r')classDelimitedWriter()def__init__(self,filePath,bufferSize,delimiter)def__del__(self)defcommit(self)defwriteF1(self,entry)defwrite(self,entry,sync=False)defclose(self)defclear(self)classDelimitedReader()def__init__(self,filePath,bufferSize,delimiter)defupdateBuffer(self,numBytes)defhasNext(self)defnext(self)def__iter__(self)def__next__(self)lib_py_comp.dsa.buffered_iodeffwrite(fileName,fileRepr,mode='w')deffread(fileName,mode='r')classBufferedWriter()def__init__(self,filePath,bufferSize)def__del__(self)defcommit(self)defwriteF1(self,entry)defwrite(self,entry,sync=False)defclose(self)defclear(self)classBufferedReader()def__init__(self,filePath,bufferSize)defupdateBuffer(self,numBytes)defhasNext(self)defnext(self)def__iter__(self)def__next__(self)lib_py_comp.alg.serializationdefserialize_data(target_value,target_type,classes,str_encoding='latin-1')lib_py_comp.alg.__init__lib_py_comp.alg.typon_mathdefdeserialize_int(int_val_repr)defdeserialize_int32(int_val_repr)defserialize_int(int_val_arg)defserialize_int32(int_val_arg)defdeserialize_dbl(dbl_val_repr)defserialize_dbl(dbl_val_arg)lib_py_comp.alg.deserializationdefdeserialize_data(target_buffer,target_type,buffer_index,classes,str_encoding=None)lib_py_comp.alg.partitioningdefpartition_batch_size(data,batch_size)defpartition_num_batches(data,num_batches)defpartition_data(data,batch_size)lib_py_comp.tests.test_delimitedlib_py_comp.tests.__init__lib_py_comp.tests.test_kvlib_py_comp.tests.test_bufferedlib_py_comp.tests.test_ba
Package: libpyfoscam
Python Library for Foscam IP CamerasGetting StartedInstall$pipinstallpython-foscamSimple exampleHere is a simple example to move camera lens up and stop after 1s.fromlibpyfoscamimportFoscamCamerafromtimeimportsleepmycam=FoscamCamera('192.168.0.113',88,'admin','superuser')mycam.ptz_move_up()sleep(1)mycam.ptz_stop_run()Asynchronous featureThis example uses the asynchronous feature provided byFoscamCamera.Normally, a command is sent synchronously, waiting for results and blocking the main thread.By initializingFoscamCamerawithdaemon=True(defaults to False), commands are sent asynchronously.mycam=FoscamCamera('192.168.0.113',88,'admin','superuser',daemon=True)mycam.get_ip_info()mycam.get_port_info()mycam.refresh_wifi_list()Send command with callbackThis example illustrates the use of a callback function when the command completes.fromlibpyfoscamimportFoscamCamera,FOSCAM_SUCCESSdefprint_ipinfo(returncode,params):ifreturncode!=FOSCAM_SUCCESS:print'Failed to get IPInfo!'returnprint'IP:%s, Mask:%s'%(params['ip'],params['mask'])mycam=FoscamCamera('192.168.0.113',88,'admin','superuser',daemon=False)mycam.get_ip_info(print_ipinfo)
Package: libpygo
Copyright Oscar Benjamin 2012.
Released under GPL v3.0 or at your discretion any future version of the GPL.libpygo is a python library for working with the ancient board game, go. It is
currently in the very early stages of development.Initial development plan:Add GPL to project (DONE!)Create basic directory structure for project (DONE!)Write basic game class to run with tests (DONE!)Create documentation framework with API (DONE!)Create doc-testing framework (DONE!)Create unit-testing framework (WIP)Implement coverage testing.Create installation files.Upload downloadable installers.Create proper documentation.Upload the documentation somewhere.Ongoing development plan:Design a Game classWrite tests for processing both legal and illegal moves.Implement the tests in the Game class for a generic ruleset.Implement reading sgf filesCreate game interfacesImplement cli interfaceImplement Tkinter interfaceImplement web server interfaceImplement email server interface
Package: libpyka
libpykaライブラリ##libpykaライセンス
このソフトウェアはMITライセンスを適用している。
This software is released under the MIT License, see LICENSE.txt.
（このソフトウェアは、MITライセンスのもとで公開されている。LICENSE.txtを見よ。）libpykaの概要Pythonの一般的ユーティリティライブラリ。
DBや文字列操作の便利な関数などが利用できる。
libpykaライブラリはその中に複数のパッケージで構成されている。
DB関連はdbパッケージ。
文字列や一般的なモジュールはutilsパッケージ。libpykaのパッケージの説明dbパッケージDB関連のパッケージでDBは主にPostgreSQLを使用する。
postgresモジュールでPostgreSQL関連の便利な関数を指定できる。utilsパッケージ主に文字列操作や基本的な便利な関数が格納されたモジュール。
Package: libpymarcel
libpymarcelMÃ³dulo para Recriar LibPythonPro do ZeroSuportada versÃ£o 3 de PythonPara instalar:python3 -m venv .venvcd .venv/script/activatepip install -r requirements-dev.txtPara conferir qualidade do cÃ³digo:flake8
Package: libpymath
LibPyMathA fast, general purpose math library for PythonInstallRunpip install libpymathto dowload and installlibpymathfor your system. There are also wheels provided for many of the latest Python versions on Windows, Mac OS* and Linux thanks to thecibuildwheelproject.Features and usageMatrix MathEasily create, manipulate and perform calculations with dense matrices. The matrices themselves are stored and manipulated with optimised C code, resulting in faster operations and more efficient calculations. To further increase the speed of the calculations, when libpymath imported into a project for the first time, it runs some tests on the CPU to find the optimal number of threads to use for the matrix calculations.Progress BarsWrap a progress bar around any Python iterator and have a progress bar generated automatically. The progress bar will adjust its width to the width of the console, shows the current percentage, time and time remaining, as well as the number of iterations per second the bar is running at. The rate at which the bar updates also adjusts dynamically, ensuring that it has a minimal impact on the speed of the loop, while updating frequently enough to provide relevant information.Neural NetworksCreate, train and evaluate a neural network in only a few lines of code, customising the size of the network, its learning rate, it's activation functions (which can be customised on a per-layer basis) and the metrics which it logs. The network library also uses the efficient Matrix library, meaning it can train a simple network in under a second. You can also plot a graph of any metrics that are being logged, making it easy to evaluate the progress of the network.
Package: libpymcr
libpymcrlibpymcris a Python module for loading a compiled Matlabctfarchive and running functions within it in Python.Whilst there is anofficial Mathworks binding for Python,libpymcrprovides a few benefits over the official package:It is compatible with versions of Python not supported by Matlab (e.g. 3.10, 3.11, 3.12). Moreover, the supported Python
versions are not locked to the Matlab versions, unlike with the official packages.When converting data between Matlab and Python it avoids data copies where ever possible by wrapping the underlying arrays
in the target type (numpyor MatlabmxArray). In the official bindings, a data copy is required when converting data
from Python to Matlab (inputs to functions).It provides a simpler syntax, and if you include the providedcall.mandcall_python.mexfiles in your compiled
package, you will also be able to access Matlab objects transparently in Python, and pass Python callables to Matlab
to evaluate (e.g. in a fitting routine).Getting startedYou can install the package using:pip install libpymcrYou must create a compiled Matlab archive (ctffile) of your program using theMatlab Compiler SDK toolbox,
using themcccommand:mcc -W CTF:your_program_name -U mfile1 mfile2 mfile3Then in Python, you can load this and call the Matlab functions with:importlibpymcrm=libpymcr.Matlab('your_program_name.ctf')m.mfile1()The functions,mfile1,mfile2etc. are exposed to Python can can be called as methods of theMatlab()object.
Package: libpymux
Library for terminal multiplexing in Python.
This is the library that’s used by pymux, a pure Python tmux clone.Dependenciesasyncio: It requires the asyncio library for event handling. This means it
will also require Python 3.3, but Python 3.4 is recommended. (At least the Hg
version of 10/01/2014 required.)pyte: A python library for handling vt100 escape codes.
Package: libpyn
Libpyn======> A third-party API for **libsyn**.___Installation------------In order to install _libpyn_, run this command on the terminal``` consolefoo@bar:~$ pip install libpyn```___Features--------* ### The Podcast class <a name="podcast-class"></a>The _Podcast class_ is the main feature of this package.``` python# Import statementfrom libpyn.podcast import Podcast```In order to create an instance of the Podcast class, pass a link to a _libsyn_ channel in with the instance declaration.``` pythonchannel = 'https://therabbithole.libsyn.com/'example = Podcast(channel)```Once initialized, the Podcast class contains useful information about the podcast.``` pythonexample.name = # Name of the podcast channelself.mp3list = # List of episodes, each episode saved as a dictionaryself.htmllink = # Link to the podcast's website```Each dictionary in _self.mp3list_ contains these key/value pairs:``` pythonpodcast = {}    # Dictionary for storing podcast infopodcast['title'] = # Name of episodepodcast['date'] = # Publish datepodcast['mp3'] = # Link to mp3 filepodcast['image'] = # Channel logo```* ### Downloading podcastsIn order to download the mp3 files of a podcast channel, use the **download()** function.``` python# This will download the mp3 files in a directory named after the podcast channel# in the Downloads directoryexample.download()```A specific _path_ can be specified, the name of the directory (_foldername_) in which the mp3 files will be stored can also be specified. If the foldername is not specified, it will be the name of the channel. (Spaces are replaced with underscores.)``` pythonpath = 'path/to/store/mp3'directory = '/files'example.download(path=path, foldername=directory)```* ### iframesIn order to get iframes of the latest episodes to embed on a webpage, use the **iframes()** function.It returns a dictionary where the key is the title of the episode (if one is present) and the value is the iframe (if iframes are present).``` pythoniframesList = example.iframes()```___Changelog---------### == v1.0.3 ==* _iframes function only runs if iframes are present_* _iframes function generates titles when there is no title given_### == v1.0.2 ==* _iframes now returns a dictionary. (key = Title, value = iframe)_### == v1.0.1 ==* _Fix bugs involving download function_* _Remove HTML tags from podcast.name attribute_* _Fix logger, log always in same directory as podcast.py_### == v1.0.0 ==* _Initial release_
Package: lib-pypi
libpythonproMÃ³dulo para exemplificar a construÃ§Ã£o de projetos Python no curso Pytools.
Nesse caso Ã© ensinado como contribuir com projetos de cÃ³digo aberto.LINK DO CURSO:Python ProPara instalar:
'''python 3 -m venv .venv
source .ven/bin/activate
pip install -r requirements-dev.txt'''Para conferir qualidade do cÃ³digo:
'''flake8'''
Package: libpysal
Python Spatial Analysis Library Corelibpysal moduleslibpysal.cg–  Computational geometrylibpysal.io–  Input and outputlibpysal.weights–  Spatial weightslibpysal.examples–  Built-in example datasetsExample NotebooksSpatial WeightsVoronoiInput and OutputDevelopmentlibpysal development is hosted ongithub.Discussions of development occurs on thedeveloper listas well asgitter.ContributingPySAL-libpysal is under active development and contributors are welcome. If you have any suggestions, feature requests, or bug reports, please open newissueson GitHub. To submit patches, please reviewPySAL's documentation for developers, the PySALdevelopment guidelines, and thelibpysal contributing guidelinesbefore opening apull request. Once your changes get merged, you’ll automatically be added to theContributors List.Bug reportsTo search for or report bugs, please seelibpysal's issues.License informationSeeLICENSE.txtfor information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES.
Package: libpysat
[![Build Status](https://travis-ci.org/USGS-Astrogeology/PySAT.svg?branch=master)](https://travis-ci.org/USGS-Astrogeology/PySAT)
[![Coverage Status](https://coveralls.io/repos/github/USGS-Astrogeology/PySAT/badge.svg?branch=master)](https://coveralls.io/github/USGS-Astrogeology/PySAT?branch=master)
[![Join the chat athttps://gitter.im/USGS-Astrogeology/PySAT](https://badges.gitter.im/USGS-Astrogeology/PySAT.svg)](https://gitter.im/USGS-Astrogeology/PySAT?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
# InstallationInstall [Anaconda Python](https://www.continuum.io/downloads).  Be sure to get Python 3.xDownload or clone this repositorycdinto this repository and executeconda env create.  This will read theenvironment.ymlfile and install (using conda) all dependencies in a self-contained environment.source activate pysatto activate said environment.# DemoExecute thejupyter notebookthat will open a new browser tab with the Jupyter homepage.Launch (click) theKaguya_Spectral_Profiler.ipynbnotebook.
Package: libPyshell
PyshellA python module for writing shell-scripts in Python. It introduces
new functionality, bundles functions distributed over several modules of
Python's standard library in one place and provides several auxiliary functions.The function's provided by theshellmodule are named after the corresponding
Unix commands.Here's a quick demo:fromshellimport*rm('a/b/foo.txt')mv('X.pdf',f'{HOME}/contents.pdf')files=ls('Documents','*.txt','*.c')magicFiles=run(['grep','magic']+files,captureStdout=splitLines,onError='ignore').stdoutRequirements: Python 3API documentationPyPI pageInstallation:pip install libPyshellChangelog0.3.0 (2024-02-01)uniform treatment when capturing stdout and stderr. This lead to changes to RunResult
and RunError which are slightly backwards incompatible.0.2.0 (2024-01-29)Better static type information0.1.7 (2023-03-30)forceparameter forcp0.1.5 and 0.1.6 (2023-03-03)Some bugfixes0.1.4 (2022-03-17)Flush stdout and stderr before running a command
Package: libpython
libpythonproMÃ³dulo para exemplificar construÃ§Ã£o de projetos Python.Link do Github:Lib PythonSuportado a versÃ£o 3 do PythonPara instalar:python3 -m venv .venvsource .venv/bin/activatepip install -r requirements-dev.txtPara conferir qualidade de cÃ³digo:flake8TÃ³picos a serem abordados:GitVirtualenvPip
Package: libpythonbruno
libpythonbrunoMódulo para exemplificar construção de projetos Python no curso PytoolsNesse curso é ensinado como contribuir com projetos de código aberto\Link para o cursoPython ProSuportada versão 3 de PythonPara instalar:python3 -m venv .venvsource .venv/bin/activatepip install -r requirements-dev.txtPara conferir qualidade do código:flake8Tópicos a serem abordados:1.Git
2. Virtualevn
3. Pip
Package: libpython-do-pypi
LibPythonEste projeto suport a versão  dopythonespecificaente a versão 3.8.8Tópicos abordaos:virtualenvflake8Instalação das dependências noLinuxpython3 -m venv .venvsource .venv/bin/activatepip install -r requiriments-dev.txtInstalação das dependências noWindowspython -m venv .venv[CMD] cd .venv/bin/activate.bat[POWERSHEL] cd .venv/bin/activate.ps1pip install -r requiriments-dev.txt
Package: libpythongian
libpythongianModulo exemplo de projeto pythonNesse curso vamos aprender a contribuir com projetos de codigo aberto.Link para o curso [Remote System] [http://remotesystem.com.br/]Suportada versão 3 do pythonPara instalar:Console

python3 -m venv .venv
source  .venv/bin/activate
pip -r install requirements-dev.txtPara conferir qualidade do codigo:Console

flake8Topicos que seram abordados no cursogitvirtuaenvpip
Package: libpython-heber
libpythonproMódulo para exemplificar construção de projetos python no curso PyTools.
Suportada a versão do python 3Para instalar
'''console
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements-dev.txt
'''Para conferir qualidade do código
"""console
flake8
"""Link:https://pythonpro.com.br/Tópico:1.Git
2.Virtualenv
3.Pip.Link do curso pythonpro:https://pythonpro.com.br/
Package: lib-python-jd
lib_python_jdMódulo para exemplificar construção de projetos Python no cursoNesse curso é ensinado como contribuir com projetos de código aberto.Link para o cursoPythonProSuportada versão 3 de PythonPara instalar:python3 -m venv .venvsource .venv/bin/activatepip install -r requirements-dev.txtPara conferir qualidade do códigoflake8
Package: libpython-jessica
libpythonproMÃ³dulo para exemplificar construÃ§Ã£o de projetos Python no curso PyToolsNesse curso Ã© ensinado como contribuir com projetos de cÃ³digo abertoLink para o cursoPython ProSuportada a versÃ£o 3 de PythonPara instalar:python3 -m venv .venv.venv/Scripts/activatepip install -r requirements-dev.txtPara conferir qualidade do cÃ³digo:flake8TÃ³picos a serem abordados:GitVirtualenvPip
Package: libpython-jfobatista
libpythonConstruÃ§Ã£o de projetos em PythonEste Ã© o README.Link para o repositÃ³rioLibPythonSuportada versÃ£o 3 de PythonPara instalar:console python -m venv venv .\venv\Scripts\activate pip install -r requirements-dev.txtPara conferir qulidade de cÃ³digo:console flake8TÃ³picos a serem abordados:
1.Git
2.Virtualenv
3.Pip
Package: libpythonjp
libpythonjpModulo para exemplificar construção de projetos Python para curso PythontoolsNeste curso é ensinado como contribuir com projetos de código aberto.Link do cursoPython ProSuportada versão 3 de PythonPara instalar:python3 -m venv .venvsource venv/bin/activatepip install -r requirements-dev.txtPara conferir qualidade de código:flake8Tópicos a serem abordados:GitVirtualenvPip
Package: libpython-marqueane
libpythonpytoolsExemplo de construÃ§Ã£o de projetos Python - Curso PytoolsSuportado versÃ£o 3 de PythonTÃ³picos a serem abordados:GitVirtualenvPip08-05 Branch 4 - teste aula Freature Branch
08-05 InstalaÃ§Ã£o Teste - Arquivo Setup.py.
10-05 Teste
InstalaÃ§Ã£o da lib twine
Package: libpythonmax
libpythonmaxMódulo para exemplificar construção de projetos Python no curso PyToolsNesse curso é ensinado como contribuir com projetos de código abertoPerfil Gitbub:maxProgrammerSuportada versão 3 de PythonAtenção => Travis-ci não funciona no archlinux e seus derivados.Para instalar:
"""
console:
python3 -m venv .venv
source .venv/bin/activate
pip install - r requirements-dev.txt
"""Para conferir qualidade do código PEP8:
flake8Tópicos a serem abordados:GitPyenvPIP
Package: libpythonpessoa
libpythonpessoaMódulo para exemplificar construção de projetos Python no curso PytoolsNesse curso é ensinado como contribuir com projetos de codigo abertoLink do cursoPython ProSuportada a versão 3.8 de PyyhonTópicos a serem Abordados:1. git
2. Virtualenv
3.Pip
4.TravisComando importantes do Pyenv:1. pyenv  install -l (checar as Versõs do Python)
2. pyenv install (a versão escolhida)
3. pyenv versions (Versões disponiveis nele)
4. pyenv global (Versão escolhida)Comando importantes do Pip, python e linux:1. pip  freeze(checar bibliotecas instaladas )
2. pip  freeze > requiremensts.txt(arquivo para ficar na raiz que vai difinir dependencias do projeto )
3. pip  install -r  requiremensts.txt(Cria o arquivo de dependencias se for preciso )
3. pip  uninstalled requests  (desistala uma biblioteca)
4. python3 -m venv .venv (crinado um venv local para testar os codigos )
5. source .venv/bin/activate (ativando a .venv para testes)
6. ls |grep lib (para ver onde esta meu projeto)
7. pip install -e ./libpythonpessoa/(para instalar aqui a biblioteca e editar e testar)
8. python setup.py sdist(Crita um diretorio com a minha distribuição)
9. pip install twine(lib para fazer a fazer a publicação dp projeto no pypi.org)
10.twine upload dist/*( para mandar tudo que eu tendro do meu projeto)Comando importantes dentro do.venv:1. deactivate (sair do anbiante virtal )
2. source .venv/bin/activate (entra no anbiante virtal )links relevantes:Dados Minha contaRepositorio pip installAutomatiza processso de integração de Dependencias
Package: lib-python-pro
libpythonproMódulo para exemplificar construção de projetos Python no curso PyToolsNeste curso é ensinado como contribuir com projetos de código abertoLink para o cursoPyToolsSuportada versão 3 de PythonPara instalar:python3 -m venv .envsource .venv/bin/activatepip install -r requirements-dev.txtPara conferir qualidade de código:flake8Tópicos a serem abordados:GitVirtualenvPip
Package: libpythonpro01
libpythonModulo para exemplificar a construÃ§Ã£o de projetos python pro
Suportado a versÃ£o 10 em pythonLink Py UPhttps://pyup.io/account/repos/github/cyaconquista/libpython/Para instalar:
'''
py -3 -m venv .venv
.venv\Scripts\activate
pip install - r requirements-dev.txt'''console
flake8
'''