semvec/pypi-packages huggingface dataset:
biobox-analytics 0.1.12
BioBox CLI for data manipulation in python

# biobox-analytics
[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "biobox_analytics"
version = "0.1.12"
description = "BioBox CLI for data manipulation in python"
readme = "README.md"
readme-content-type = "text/markdown"  # Specify content type for Markdown
license = { text = "MIT" }
authors = [
    {name = "Christopher Li", email = "chris@biobox.io"},
    {name = "Hamza Farooq", email = "hamza@biobox.io"},
    {name = "Julian Mazzitelli", email = "julian@biobox.io"}
]
requires-python = ">=3.10"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent"
]
dependencies = [
  "scanpy",
  "gtfparse",
  "pandas"
]
urls = { "Homepage" = "https://github.com/biobox-analytics/biobox_analytics" }
SA-Framework 0.1.0
A description of your package
Requires Python: >=3.6

# VeevaVaultBasics
******* Sukumar Kutagulla *******

Pre_Requisites:
1. Install python
2. pip install pycryptodome
3. pip install pymongo
4. pip install robotframework-pabot
5. pip install robotframework-seleniumlibrary
6. pip install pycrypto

Vault Structure:
1. This project contains below vaults
    a. Vault Clinical Basics
    b. Vault RIM Basics
    c. Vault Quality Basics
2. Each of above vaults contain its own logins, resources, Script documents paths, test case folders.
3. All users unique logins should be maintained at specific logins.robot file.
4. Resources folder contains vault specific keywords and locators files and ScriptDocuments folder.
5. Test cases folder should contain the test cases. And each robot file should contain one script and file name match with your script name.
    e.g: Script name: BASICS-PQ-CLIN-CLIN-01, then file name should be as Script : BASICS_PQ_CLIN_CLIN_01.robot
    And your test case id (tag name) also should be same BASICS_PQ_CLIN_CLIN_01.
6. ScriptDocuments folder should contain if any specific files (.docx, .pdf, .xlsx, .zip) required for the scripts.
7. ScriptDocumentsPath folder contains the path for the specific file defined in ScriptDocuments folder.

Framework:
1. Once vault is cloned successfully.
2. Open visual studio code terminal and execute below commands if framework(SA_Framework) is not configured in vault.
    a. git submodule add "https://github.com/Spotline-Inc/SA_Framework.git"
    b. git submodule init
    c. git submodule update

Framework Components: 
Framework contains below folders
1. Custom_Library
2. Framework_Common_Resources
3. Vault_Specific_Common_Resources
4. WonderPharma_Resources

Note: 
1. Except "WonderPharma_Resources" rest all are self explanatory and DO NOT add/update anything in WonderPharma_Resources folder as this is going to be deprecated or moved to vault level in near future.
2. Once vault and Framework are properly setup, then create a branch aligning to script that you will be working
 e.g: Script : BASICS-PQ-CLIN-CLIN-01
 Then you vault and framework branches also should be created with same convention.
CLI-EXPORTER 0.1.0
CLI application to automate data extraction and formating for Bitwarden csv import
Requires Python: >=3.6

# CLI Exporter

My Application is a command-line tool designed to extract specific data from multiple Word documents and save the extracted data into a CSV file. This tool is particularly useful for aggregating information from documents in a structured and automated way.

## Features

- Extracts data from multiple Word documents.
- Aggregates data into a single CSV file.
- Handles errors and logs them for review.
- User-friendly command-line interface using Click.

## Requirements

- Python 3.6+
- `click`
- `pandas`
- `python-docx`
- `tkinter` (for file dialogs)

## Installation

You can install the package using pip. First, clone the repository and navigate to the project directory:

```sh
git clone https://github.com/yourusername/my_application.git
cd my_application
b-exp 0.1.0
CLI application to automate data extraction and formating for Bitwarden csv import
Requires Python: >=3.6

# CLI Exporter

My Application is a command-line tool designed to extract specific data from multiple Word documents and save the extracted data into a CSV file. This tool is particularly useful for aggregating information from documents in a structured and automated way.

## Features

- Extracts data from multiple Word documents.
- Aggregates data into a single CSV file.
- Handles errors and logs them for review.
- User-friendly command-line interface using Click.

## Requirements

- Python 3.6+
- `click`
- `pandas`
- `python-docx`
- `tkinter` (for file dialogs)

## Installation

You can install the package using pip. First, clone the repository and navigate to the project directory:

```sh
git clone https://github.com/yourusername/my_application.git
cd my_application