semvec/pypi-packages huggingface dataset:
SparkSchemafy 0.1.4
Formats spark schema output into a schema definition

# Summary
<br>
Sometimes when converting a Pandas DataFrame to a Spark DataFrame variables are not interpreted correctly<br> 
which can lead a programmer to have to type many lines of code and then provide the schema when building the<br>
Spark DataFrame.
<br><br>
Additionally this is true for defining a Delta Table before loading your parquet files. This package contains<br>
two functions aimed at creating these definitions which will hopefully cut down on a lot of typing and speed <br>
up development time for the user. <br><br>

## Installation
pip install SparkSchemafy
<br><br>
## Usage
from schemafy import make_spark_schema, make_delta_schema
<br><br>
### Make a Spark DataFrame Schema from a Pandas DataFrame<br>
make_spark_schema(str(spark.sql.DataFram(<Pandas DataFrame>).schema))
<br><br>
### Make a delta table schema from parquet file<br>
make_delta_schema('<your file>.parquet')
gitcollect 1.8.0
it gets github info
Requires Python: >=3.6

<h1 align="center">gitcollect 🪙</h1>

<h4 align="center">still in progress</h4>


<h4 align="center">Gets github information by web scraping. Inspired by <a href="https://github.com/kokonut27/Git-API/">Git-Api</a>.</h4>

## How to Use?

```
pip install -r requirements.txt
```

```
pip install gitcollect
```

Example:

```py
from gitcollect import *
repo_desc("https://github.com/LogSkele/gitcollect/")
```
should get
```
ℹ it gets github info
```

## Documentation

Maybe I'll add one...?

## Contributing

Just make a pull request.

## License

gitcollect is under the [MIT license](https://github.com/LogSkele/gitcollect/blob/master/LICENSE)
feedstockAnalyst 3.0.3
Aplicativo para análise de necessidades de materiais

# feedstockAnalyst
=====

feedstockAnalyst Ã© um aplicativo de anÃ¡lise de disponibilidade vs. demanda 
de materiais para indÃºstrias.

Com base em dados fornecidos ele Ã© capaz de calcular se uma determinada ordem de produÃ§Ã£o
serÃ¡ capaz de ser atendida do ponto de vista de necessidade de materiais.

Quick start
-----------

1. Adicione "feedstockAnalyst" a lista de INSTALLED_APPS assim:
```python3
    INSTALLED_APPS = [
        ...
        'feedstockAnalyst',
    ]
```

2. Inclua a URLconf de feedstockAnalyst no arquivo urls.py do seu projeto assim:
```python3
    path('feedstockAnalyst/', include('feedstockAnalyst.urls')),
```

3. Rode ``python manage.py migrate`` para aplicar as migraÃ§Ãµes ao Banco de Dados.

4. Inicie o servidor de desenvolvimento e visite http://127.0.0.1:8000/admin/apphub/application/
   para adicionar a feedstockAnalyst ao seu AppHub configurando o `Prefixo da URL do Aplicativo` como `feedstockAnalyst`.

5. Visite o aplicativo em: http://127.0.0.1:8000/feedstockAnalyst/
tewl 0.0.1
Kewl tools for Python
Requires Python: >=3.8,<3.11

# py-tewl

[![Release](https://img.shields.io/github/v/release/kristjanvalur/py-tewl)](https://img.shields.io/github/v/release/kristjanvalur/py-tewl)
[![Build status](https://img.shields.io/github/workflow/status/kristjanvalur/py-tewl/merge-to-main)](https://img.shields.io/github/workflow/status/kristjanvalur/py-tewl/merge-to-main)
[![Commit activity](https://img.shields.io/github/commit-activity/m/kristjanvalur/py-tewl)](https://img.shields.io/github/commit-activity/m/kristjanvalur/py-tewl)
[![Docs](https://img.shields.io/badge/docs-gh--pages-blue)](https://kristjanvalur.github.io/py-tewl/)
[![Code style with black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports with isort](https://img.shields.io/badge/%20imports-isort-%231674b1)](https://pycqa.github.io/isort/)
[![License](https://img.shields.io/github/license/kristjanvalur/py-tewl)](https://img.shields.io/github/license/kristjanvalur/py-tewl)

Kewl tools for Python

- **Github repository**: <https://github.com/kristjanvalur/py-tewl/>
- **Documentation** <https://kristjanvalur.github.io/py-tewl/>

## Releasing a new version

- Create an API Token on [Pypi](https://pypi.org/).
- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting 
[this page](https://github.com/kristjanvalur/py-tewl/settings/secrets/actions/new).
- Create a [new release](https://github.com/kristjanvalur/py-tewl/releases/new) on Github. 
Create a new tag in the form ``*.*.*``.

For more details, see [here](https://fpgmaas.github.io/cookiecutter-poetry/releasing.html).

---

Repository initiated with [fpgmaas/cookiecutter-poetry](https://github.com/fpgmaas/cookiecutter-poetry).
crio-vault 1.1.5
Vault library

# Installation
************
pip install crio_vault


# Get started
***********

# How to fetch keys required by a script from the AWS secret manager vault with this lib:

from crio_vault import vault

# Instantiate
fetch = vault()

# Call the fetch_and_store method
fetch.fetch_and_store("test100", "prod")
key = json.loads(os.getenv('TEST100_PROD_SHEET_KEY')) # dict
token = os.getenv('TEST100_PROD_TOKEN') # string 

# Print and check 
print(key)
print(type(key))
print(token)
print(type(token))