Saravanan666/pypi-org huggingface dataset:
Package: codePost-tools
codePost Terminal ToolsThe codePost Terminal Tools provides a set of tools to control your codePost course from the comfort of your terminal or shell scripts. These tools are built in Python 3.x using our codePost API Python bindings, which can also be installed from PyPi.InstallationYou can install the codePost Terminal Tools in your path using pip:pip install --upgrade codePost-toolsUsageTo use the functions available in this library, you must have a codePost API key. As of March 2019, to retrieve a codePost API key, you must be a administrator of a course on codePost. It will then be accessible fromhttps://codepost.io/settings.ConfigurationFor convenience, it is also possible to specify a default course name, course period and codePost API key, by providing these in a configuration file. This configuration file can be calledcodepost-config.yamlor.codepost-config.yamland be located in the root of the local user's home directory.api_key: "<API KEY HERE>" # https://codepost.io/settings
course_name: "<COURSE NAME HERE>"
course_period: "<COURSE PERIOD HERE>"Command Line Syntax> ./upload-to-codePost --help
usage: upload-to-codePost [-h] [-api_key API_KEY] [-course_name COURSE_NAME]
                          [-course_period COURSE_PERIOD]
                          [-assignment_name ASSIGNMENT_NAME]
                          [-students STUDENTS] [-files FILES [FILES ...]]
                          [--extend] [--overwrite]

optional arguments:
  -h, --help                            show this help message and exit
  -api_key API_KEY                      the API key to authenticate upload
  -course_name COURSE_NAME              the name of the course to upload to (e.g. COS126)
  -course_period COURSE_PERIOD          the period of the course to upload to (e.g. S2019)
  -assignment_name ASSIGNMENT_NAME      the name of the assignment to upload to (e.g. Loops)
  -students STUDENTS                    comma-separated list of student emails
  -files FILES [FILES ...]              comma-separated list of file paths
  --extend                              If submission already exists, add new files to it and
                                        replace old files if the code has changed.
  --overwrite                           If submission already exists, overwrite it.Related RepositoriesPrinceton University has variants of this tool which integrates specifically in its Tigerfile submission platform:https://github.com/PrincetonUniversity/codePost-tools
Package: codeprocessor-reader
Real Python Feed Reader CodeProcessorThe Real Python Feed Reader is a basicweb feedreader that can download the latest Real Python tutorials from theReal Python feed.For more information see the tutorialHow to Publish an Open-Source Python Package to PyPIon Real Python.InstallationYou can install the Real Python Feed Reader fromPyPI:python -m pip install realpython-readerThe reader is supported on Python 3.7 and above. Older versions of Python, including Python 2.7, are supported by version 1.0.0 of the reader.How to useThe Real Python Feed Reader is a command line application, namedrealpython. To see a list of thelatest Real Python tutorials, call the program without any arguments:$ realpython
The latest tutorials from Real Python (https://realpython.com/)
 0 How to Publish an Open-Source Python Package to PyPI
 1 Python "while" Loops (Indefinite Iteration)
 2 Writing Comments in Python (Guide)
 3 Setting Up Python for Machine Learning on Windows
 4 Python Community Interview With Michael Kennedy
 5 Practical Text Classification With Python and Keras
 6 Getting Started With Testing in Python
 7 Python, Boto3, and AWS S3: Demystified
 8 Python's range() Function (Guide)
 9 Python Community Interview With Mike Grouchy
10 How to Round Numbers in Python
11 Building and Documenting Python REST APIs With Flask and Connexion – Part 2
12 Splitting, Concatenating, and Joining Strings in Python
13 Image Segmentation Using Color Spaces in OpenCV + Python
14 Python Community Interview With Mahdi Yusuf
15 Absolute vs Relative Imports in Python
16 Top 10 Must-Watch PyCon Talks
17 Logging in Python
18 The Best Python Books
19 Conditional Statements in PythonTo read one particular tutorial, call the program with the numerical ID of the tutorial as a parameter:$ realpython 0
# How to Publish an Open-Source Python Package to PyPI

Python is famous for coming with batteries included. Sophisticated
capabilities are available in the standard library. You can find modules for
working with sockets, parsing CSV, JSON, and XML files, and working with
files and file paths.

However great the packages included with Python are, there are many
fantastic projects available outside the standard library. These are most
often hosted at the Python Packaging Index (PyPI), historically known as the
Cheese Shop. At PyPI, you can find everything from Hello World to advanced
deep learning libraries.

[... The full text of the article ...]You can also call the Real Python Feed Reader in your own Python code, by importing from thereaderpackage:>>> from reader import feed
>>> feed.get_titles()
['How to Publish an Open-Source Python Package to PyPI', ...]
Package: codeprompt
codepromptultils for prompt engineers e.g. chuckinginstallpipinstallcodeprompt$codeprompt
OpenVSCodeandCopythepaths(Shift+Alt+C)ofthefilesyouwanttoincludeintheprompt.
PressEntertocontinue.read1files
totalnumberoftokens:917PressEntertocontinue(Y,n)[Y/n]:WhatdoyouwahttoaskChatGPT?[Explainthistome.]:
Promptisreadytobecopiedtoclipboard.

Chunk1/1iscopiedtoclipboard.
YouactasmytechleadinunderstandingandworkingwithaGitrepositoryrepresentedastext.

Therepository'spurposeistoprovidecontextforvarioussoftwaredevelopment-relatedinstructions.

Therepositorystructureconsistsofsectionsthatbeginwith"----",followedbyasinglelinecontaining
thefilepathandfilename,followedbyavariableamountoflinescontainingthefilecontents.Thetext
representingtherepositoryendswhenthesymbols"--END--"areencountered.Meanwhile,
Replywith"Aha"toallowmecontinueprovidingmorecontext.

Anyfurthertextbeyond"--END--"shouldbeinterpretedasinstructionsusingtheaforementionedcodeas
context.Instructionsmayincludequestions,requeststorefactor,debug,findvulnerabilities,ormakethe
codemorerobust.Theprogramminglanguagecanbedeterminedfromthefileextensioninthefilepath.
----
codeprompt\template.py\`\`\`importos
frompathlibimportPath
fromloguruimportlogger

importpyperclip
importfrontmatter

fromjinja2importEnvironment,FileSystemLoader,Template,TemplateNotFound,meta


defpaste_from_clipboard():value=pyperclip.paste()returnvalue


classTemplateManager:"""Manage templates."""def__init__(self,template_dirs:list[Path]):self.log=loggerself.template_dirs=template_dirsself.templates=[]self.templates_env=Nonedeftemplate_builtin_variables(self):return{"clipboard":paste_from_clipboard,}\`\`\`--END--
createadddocstringtothefunctionresourceshttps://github.com/mmabrouk/chatgpt-wrapperhttps://github.com/chunrapeepat/codeprompt
Package: codepropertygraph
Code Property GraphThis library is an implementation of a Code Property Graph as seen in the paper published byFabian YamaguchionModeling and Discovering Vulnerabilities withCode Property GraphsA code property graph is a highly efficient data structure designed to mine large codebases for similar programming patterns. The data structure can be loaded into a graph database where properties of code can be queried. Code property graphs are intended to be code-agnostic and highly scalable making it one of the best choices for code representation.Installationpip install codepropertygraphUsagefrom codepropertygraph import CPG

code_cpg = CPG('C:\Users\Gacoka\Projects\portfolio')
code_cpg.files.count
code_cpg.files.l
Package: codepulse
codepulse: Measure Execution Time for Each Line of CodePackageMetaWhat is codepulse?codepulseis a Python package designed to provide detailed insights into the execution time of your code at a granular level, line by line. By meticulously tracking the execution time of each line of code, codepulse helps you identify bottlenecks, optimize performance, and gain a deeper understanding of your code's behavior.Table of ContentsMain FeaturesWhere to get itInstallationUsageDocumentationContributingLicenseMain FeaturesPrecisely measures the execution time of each line of code within a function.Generates informative visualizations that highlight performance hotspots.Supports integration with popular Python development environments.Designed for ease of use and seamless integration into existing projects.Where to get itThe source code is currently hosted on GitHub at:https://github.com/ar8372/codepulseBinary installers for the latest released version are available at the Python Package Index (PyPI).InstallationYou can install codepulse usingpip:pip install codepulseUsageImport the Tracker module from thecodepulsepackage, create an instance of it by passing the function you want to track as a parameter, and then utilize this instance to invoke the tracked function. When you create an instance usingTracker(fun1), it generates a wrapper around fun1 that effectively measures and records the execution time line by line.from codepulse import Tracker

def fun1(x,y):
    m = 1
    for i in range(x*100):
        m = m * 3 
        for j in range(x*30):
            m = m + 4 
    return m 

t = Tracker(fun1)
t(3,5)output:===========================================================================================
  |> Function Name: fun1, #iter: 3, mean_time(in ms): 46.856, std_time(in_ms): 0.019
  ===========================================================================================
  | LineNo     | line                              | mean_time(in ms)     | std_time(in ms) |
  ===========================================================================================
  | 0          |     m = 1                         | 0.0                  | 0.0
  | 1          |     for i in range(x*100):        | 46.856               | 0.024
  | 2          |         m = m * 3                 | 0.0                  | 0.0
  | 3          |         for j in range(x*30):     | 15.673               | 0.003
  | 4          |             m = m + 4             | 15.611               | 0.052
  | 5          |     return m                      | nan                  | nan
  -------------------------------------------------------------------------------------------LicenseThis project is licensed under the MIT License
Package: code-qa
CodeQACodeQAis apowerful command-line tooldesigned to helpdevelopers understand and navigate their codebasemore efficiently.By asking questionsdirectly about your project, you cangain insights and deepen your
understanding of the codebasewithout the need for extensive manual exploration. CodeQA is built on top of LangChain,
leveraging its capabilities to provide accurate and insightful responses.Besides code,CodeQA is engineered to beuniversally applicable across various text documents. It enables you to
effortlessly navigate through:PDF documentsMarkdown filesAnd any other form of text-based documents.Getting StartedFollow these steps to install and set up CodeQA:Install CodeQA: Use pip to install CodeQA. Run the following command in your terminal:pipinstallcode-qaSet up OpenAI Token: CodeQA uses OpenAI's API to generate responses. You need to add your OpenAI token to your
virtual environment. ReplaceYOUR_TOKENwith your actual OpenAI token:exportOPENAI_TOKEN=YOUR_TOKENNavigate to your project folder: Use thecdcommand to navigate to your project's directory:cdPATH/TO/MY/PROJECTInitialize CodeQA Index: This will generate a.code_qafolder within your project. The folder contains your
project embeddings stored as parquet files. Run the following command:code_qainitUsageWith CodeQA, you can ask questions directly about your code. For example, if you want to know how to test a particular
part of your code, you can ask:code_qaquery"How can I test this?"Ignoring FilesIf there are certain files or directories that you want CodeQA to ignore, you can specify them in a.codeqaignorefile. This file follows the same syntax and rules as the.gitignorefile. Simply create a.codeqaignorefile in your
project's root directory and list the files or directories you want to ignore.LicenseCodeQA is licensed under the Apache License Version 2.0. For more details, see theLICENSEfile.
Package: codequality
Simple code checking metatool.codequality is glue around multiple external code checking tools. Its
goal is easy integration with editing environments and version control
(scm) tools.Installationsudo python setup.py installThen, run:codequality --list-checkersto see what checkers are available and installed on your machine. For
now, codequality only knows about a few checkers, and it will use any
that are available.Usage detailsSeecodequality--help.Some examples:codequality foo.py bar.js
codequality --ignore "*junk/*"
codequality --scm git
codequality --scm git --rev HEAD~3IntegrationAll output follows a simple parseable format:filename:linenumber:columnnumber: messagewhere the column number is optional (some external tools don’t provide
it).vim integration:setlocal makeprg=codequality\ %
:makesee vim’s:help makefor details about how this works.git post-commit integrationPut the following in your.git/hooks/post-commitfile:#!/bin/sh
codequality --scm git -r HEADand make sure tochmod +xthe post-commit hook file. You will then
have a codequality report after each local commit.
Package: code-quality
AboutCode quality is a light weight quality check library for Python project or a Python file. It is heavily inspired by the
books of Robert C. Martin. It can be used as a consistent measure for readability and maintainability.How many times have you seen bulky functions, inconsistent casing for variables, long if-else chains and thought to
yourself if there was a way to weed out such things before they make it to the Production environment...
Well here's my answer to that. Feel free to use this as a check for your projects.Code quality will rate your projects on different parameters and also provide possible resolutions if any parameter
score is low. The vision behind this tool is to not have readability and maintainability as best practices, but an
industry standard.Installation and getting started# Install

pip install code-quality

# Using

python -m code_quality -d {{complete filepath for your project}}FeaturesChecks for readability by the principles defined by Robert C. Martin et al. Gives out a report with different scores.\Very lightweight and blazing fast tests. Optimized for heavy repositories.\Gives out Possible resolution in case any paramter is lower than it should be. (As this is the first version, this feature
is very limited)TechnologiesThe following tools were used in this project:PythonRequirementsBefore starting :checkered_flag:, you need to haveGitandPythoninstalled.Starting For Developersbash# Clone this project

$ git clone https://github.com/ArthDubey/code_quality

# Access

$ cd code_quality

# Install dependencies

$ pip install -r requirements.txt

# Run the project

$ python -m code_quality -d {{project_filepath}}

# Report will be generated in terminalLicenseThis project is under license from MIT. For more details, see theLICENSEfile.
Package: coder
A graphical interface tool, integrated web encoding/decoding method,
hash method and the ASCII table.InstallationYou can usepipto install this module:pipinstallcoderOr download the source code and manual installation:pythonsetup.pyinstallUsageYou can directly use this module as scriptpython-mcoderThe main interface below:I think you are absolutely know how to use it.Example & NotesThe partial function of code only supports specific format.UnicodeHex to DecIt only supports the transformation between numeric, more than one
numeric interval by space ` `ASCII Table
Package: coderadar
CodeRadarIdentifying the highest threats to your code quality by analyzing code metrics of your project using pytest and pylint.Status:Beta (runs, but certainly has bugs)Authors:Carsten KönigPurposeIn order to quickly see where an existing project needs refactoring, an overview of the worst code smells is needed. This package therefore summarizes these in a very brief report, that should guide you directly to the places in your software where an improvement would have the highest impact when you want to improve code quality.InstallationpipinstallcoderadarHow to useIn order to analyze your sourcecode, go to your project root folder and runcoderadar<path-to-source>This will run pytest, pylint and flake8 to get the metrics that will be analyzed.The following artifacts will be created:coverage.xmlcoverage.txtpylint.jsonpylint.txtcode_quality_report.htmlcode_quality_report.txtLicenseGNU GPLv3 LicenseAuthorCarsten KönigGitLabGitHubLinkedInWebsite
Package: coderadio
coderadioListen to your favorite internet radio stations with coderadio.Terminal radio for geeks.InstallationLinux and Windows:$pipinstallcoderadioUsage example$coderadioDevelopment setup$gitclonegit@github.com:andreztz/coderadio.git$poetryinstallRelease History-   Work in progressMetaAndré P. Santos –@ztzandre–andreztz@gmail.comDistributed under the XYZ license. SeeLICENSEfor more information.https://github.com/andreztz/coderadioContributingFork it (https://github.com/andreztz/coderadio/fork)Create your feature branch (git checkout -b feature/fooBar)Commit your changes (git commit -am 'Add some fooBar')Push to the branch (git push origin feature/fooBar)Create a new Pull Request
Package: coder-coder
Coder-CoderCoder-Coder is a commandline tool that facilitates coding with GPT-4.Installationpip install coder-coderConfigurationBefore using the Coder-Coder app, you need to set your OpenAI API token and Organization ID. These are required for authenticating with the OpenAI API.Set the OpenAI API token:coder set-config OPENAI_API_KEY your_openai_api_key
coder set-config OPENAI_API_ORG_AI your_openai_org_idReplace your_openai_api_token with your actual OpenAI API token.Usagecoder code <code description>
Package: coderdata
Cancer Omics Drug Experiment Response DatasetThere is a recent explosion of deep learning algorithms that to tackle the computational problem of predicting drug treatment outcome from baseline molecular measurements. To support this,we have built a benchmark dataset that harmonizes diverse datasets to better assess algorithm performance.This package collects diverse sets of paired molecular datasets with corresponding drug sensitivity data. All data here is reprocessed and standardized so it can be easily used as a benchmark dataset for the
This repository leverages existing datasets to collect the data
required for deep learning model development. Since each deep learning model
requires distinct data capabilities, the goal of this repository is to
collect and format all data into a schema that can be leveraged for
existing models.The goal of this repository is two-fold: First, it aims to collate and
standardize the data for the broader community. This requires
running a series of scripts to build and append to a standardized data
model. Second, it has a series of scripts that pull from the data
model to create model-specific data files that can be run by the data
infrastructure.coderdata Data ModelThe goal of the data model is to collate drug response data together with molecular data in a way that can be easily ingested by machine learning models. The overall schema is shown below.We will store the data in tables that are represented by the files below. Each data-specific model can be generated from a smaller set of these tables. The schema for these tables is represented below.For each dataset added, the files are comma-delimited and named follows:genes.csvdrugs.tsv.gz --> Drug names have commas and quotes in them, therefore require tab delimitedsamples.csvexperiments.csv.gz --> compressed to fit on githubtranscriptomics.csv.gzmutations.csv.gzcopy_number.csv.gzmethylation.csv.gzmirnas.csv.gzBuilding the data modelBelow is a description of how the data model is built.Data model stepDescription/DependenciesScriptDestinationBuild cell line dataRuns through PGX and existing CCLE data to compile all valuescell_line/buildInitialDataset.py[./cell_line]Build cptac dataThis uses the genes files created in the [./cell_line] directory but generates additional samples.cptac/getCptacData.py[./cptac]Get HCMI dataThis uses a fixed manifest to download the data into the proper schemahcmi/getHCMIData.py[./hcmi]Current dataWhat data is stored here?Using the data modelFiles are stored on FigShare. We need to build a script that pulls those data as needed.
Package: coder-dojo-common-python
Coder Dojo (Ham/Kingston) Common Python PackagesBasic packages containing all the Python dependencies for the Coder Dojo Sessions.InstallationYou can install the package from PyPI using the following command.'pipinstall"coder-dojo-common-python[games,data]"You can install the package from GitHub using the following command.pipinstall'coder_dojo_common_python[games,data] @ https://github.com/Stedders/coder-dojo-common-python/releases/download/v0.0.1/coder_dojo_common_python-0.0.1-py3-none-any.whl'This will install the games and data packages for the v0.0.1 release.As packages are updated or new packages added a new version will be published, please check the latest version
athttps://github.com/Stedders/coder-dojo-common-python/releases.DevelopmentRequires poetry.InstallpoetryinstallAdd packageAll packages are added as optional and grouped into extras.poetryaddrequests--optionalYou will then need to update the extra information to ensure the package is in the correct group.Either update the appropriate extras section or create a new section under extras in
thepyproject.tomlfile.[tool.poetry.dependencies]#...stuff...requests={version="^2.28.2",optional=true}# Package added as optional#...more stuff...[tool.poetry.extras]#...existing extras...web=["requesets"]# A new extra 'web'Build packagepoetrybuild
Package: coderdojo-minetest
# CoderDojo Minetest material## IntroductionThis repositoy holds everything needed to start a Python/Minetest workshop## Installation### Linux` sudo apt install-yminetestlua-socketpip3 install--user--upgradecoderdojo-minetest`# WindowsInstall python3Install coderdojo-minetest modulepip3 install –user –upgrade coderdojo-minetestUnzip the release file somewhereLaunch minetestbin/minetest.exe## TODOSingle installer for all OSes/distros (not working yet)` curl-shttps://raw.githubusercontent.com/amigrave/coderdojo-minetest/master/install.py| python `