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{
    "python.pythonPath": "C:\\ProgramData\\Anaconda3\\python.exe",
    "python.autoComplete.extraPaths": [
        "C:\\ProgramData\\Anaconda3\\Lib\\site-packages"
    ],
    "python.analysis.extraPaths": [
        "C:\\ProgramData\\Anaconda3\\Lib\\site-packages"
    ],
    "python.envFile": "${workspaceFolder}/.env"
}

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LightHouse HTML

Regex .sh to generate a Google Lighthouse Web-Audit for an HTML file in cwd for the git remote (if any).

See

#!/bin/bash
# Regex shell script to execute a Google Lighthouse Audit for the HTML file in the cwd for the git remote repository.

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(Back-up & shareable purposes other than Cloud / Local Workspaces.)

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Plot Types

Extensive list of plot types for Data Visualization.
Each plot type is described with a brief definition and use case.

Some of the libraries where they can be plotted & integrated are illustrated by Dashboards tools.

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1. Line plot:

Used to display trend over time over continuous data.

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Git web history

#!/bin/bash
# Description: githistory interactive shell to web-browse a git remote with filename using http-protocol default browser.

username=$1
repository=$2
branch=$3

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Virtual Environments

pipenv

• Higher-level pkg manager for Python that combines pip pkg installations and virtualenv creation.
• Simpler & streamlined way to manage dependencies & venv for Python projects, with automatic environment creation & dependency resolution.
• Uses virtualenv, widely used tool for creating isolated Python environments with a not so user-friendly interface.
• Pipfile.lock file to ensure that your project's dependencies are correctly installed.
• [pipenv](https://pipenv.pypa.io/en/late

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Automatically create & write docstrings in scripts

Note: Their usage is intended to automate docstrings in cwd of several scripts with an .ext at once.

#Pre-built module
import glob 
import os

def docstring(repository, requirements, author, license, environment):

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Git Commands

Description:

Github version (repository)