semvec/pypi-packages huggingface dataset:
vman3-dq 0.1.1
VMan3 Data Quality Toolkit
Requires Python: >=3.6

# VMan3 Data Quality Toolkit

A Python package for processing and quality checking VMan3 data.

## Features
Automatically marks skipped questions based on relevance expression
Handles complex ODK relevance expressions
Case-insensitive variable matching
Detailed debugging output

## Installation

```bash
pip install vman3-dq
```

## Usage

```bash
import pandas as pd
from vman3_dq import change_null_toskipped

# Load your data
data_df = pd.read_csv('va_data.csv')
dict_df = pd.read_csv('dictionary.csv')

# Process the data
processed_data = change_null_toskipped(data_df, dict_df, verbose=True)
kessel 0.5.2
a minimal wsgi framework
Requires Python: >=3

# kessel

## What this is

Minimal dependency python wsgi-compatible web framework with the tried
and tested fluid-container-inspired name. This is pretty crude, so I decided
to go with 'kessel', german for 'cauldron'.

### DISCLAIMER

> This project is mainly a learning effort and should not be used in any
reliability- oder security-critical context.

## Features

* minimal web framework, can be anything you want.

* token auth with [pyJWT](https://pypi.org/project/PyJWT/)

* modularisation can be achieved with [recipes](#recipes)

* thread-local app context for handling `current_user`,
`current_request`, etc.

* small and readable codebase

# installation

```bash
pip install kessel
```

# usage

WIP

see `examples/app.py` and `examples/run.py`

## recipes

TODO

see `examples/foo/fooController.py`

## Encoding & Decoding Tokens with RS256 (RSA)

TODO

```bash
mkdir test-app && \
openssl genrsa -out test-app/private.pem 2048
```
## Acknowledgements

* obviously heavily inspired by [flask](https://github.com/pallets/flask)

* class `Headers` from `headers.py` is a modified version of
[werkzeug's](https://github.com/pallets/werkzeug)