semvec/pypi-packages huggingface dataset:
RequestsPlusPlus 1.1.0
A Wrapper for the Request library
Requires Python: >=3.6

# Requests++

## About
This is a library for the [Requests library](https://requests.readthedocs.io/en/latest). You this adds many features.

## Features
### Main Addition
- Easy Image Puller
- Easy Fast/Rest API puller

## Contribution
You can submit a issue or error to my github or dm me ([@Dashtiss](discord.com)) on discord
CS2APY 0.5
A high-level Python3 wrapper module for the Counter-Strike: 2 Premier Leaderboards API.
Requires Python: >=3.6

# cs2APY

Counter-Strike 2 Premier Leaderboard API Module & Raw API in `Python3`.

#### Installation
```
pip install CS2APY
```
#### Example Use:
```python
import CS2APY as cs2

# w/o manual class instantiation, fetches all leaderboards
all = cs2.fetch_all()

# w/ instantiation, fetches all leaderboards
_instance = cs2.CS2APY()
_all = _instance.fetch_all()
```

#### Methods:
```python
fetch_all(): fetches all the regions' leaderboards and returns them as an array of dicts

fetch_global(): fetches the leaderboard for Global rankings and returns them as an array of dicts

fetch_europe(): fetches the leaderboard for European rankings and returns them as an array of dicts

fetch_africa(): fetches the leaderboard for African rankings and returns them as an array of dicts

fetch_asia(): fetches the leaderboard for Asian rankings and returns them as an array of dicts

fetch_australia(): fetches the leaderboard for Australian rankings and returns them as an array of dicts

fetch_china(): fetches the leaderboard for Chinese rankings and returns them as an array of dicts

fetch_northamerica(): fetches the leaderboard for NA rankings and returns them as an array of dicts

fetch_southamerica(): fetches the leaderboard for SA rankings and returns them as an array of dicts
```

#### Example Output:
```python
import CS2APY as cs2

africa = cs2.fetch_africa()
print(africa)

# Output
# [
#     {
#         "rank": 1,
#         "rating": 22117,
#         "name": "splitsecond kirito",
#         "matches_won": 163,
#         "matches_tied": null,
#         "matches_lost": 21,
#         "map_stats": {
#             "anubis": 2,
#             "inferno": 1,
#             "mirage": 6,
#             "vertigo": 0,
#             "overpass": 0,
#             "nuke": 0,
#             "ancient": 1,
#             "null": 0
#         },
#         "time_achieved": "2023-10-10T19:40:08",
#         "region": "africa"
#     },
#     ...
#  ]
```
spark-data-modeling-tools 0.1.7
spark_data_modeling_tools
Keywords: spark,dataframe,modeling

# spark_data_modeling_tools

[![Github License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Updates](https://pyup.io/repos/github/woctezuma/google-colab-transfer/shield.svg)](pyup)
[![Python 3](https://pyup.io/repos/github/woctezuma/google-colab-transfer/python-3-shield.svg)](pyup)
[![Code coverage](https://codecov.io/gh/woctezuma/google-colab-transfer/branch/master/graph/badge.svg)](codecov)

spark_data_modeling_tools is a Python library that implements styles in the Dataframe

## Installation

The code is packaged for PyPI, so that the installation consists in running:

```sh
pip install spark-data-modeling-tools --user --upgrade
```

## Usage
```sh
from spark_data_modeling_tools import dm_generated_table_refused
```

```sh

UPLOAD PATH_BUI


%%writefile tablitas.txt
t_pmol_finc_gl_ac_mthly_balances
t_pbtq_spectrum_gm_oper_ctpty


nro_sda = "39984"
project_name = "Golden Data"
sprint_name = "SP1"
nro_q = "Q4"
scrum_master =  "jonathan quiza"
collaborator_dm = "Erika Salazar"
comment_resolution = "[JQP]: Se solicita el reuso de la fuente para el proyecto Golden Data, para agregar reglas expertas"
comment_history = "[JQP]: No se requiere historia"
add_dashboard_ingesta_procesamiento = "Si"


dm_generated_table_refused(path_bui=None,
                               path_tables=None,
                               nro_sda=None,
                               project_name=None,
                               sprint_name=None,
                               nro_q=None,
                               scrum_master=None,
                               collaborator_dm=None,
                               comment_resolution=None,
                               comment_history=None,
                               add_dashboard_ingesta_procesamiento=None)
                               
                               
                               
                              
```



```



## License

[Apache License 2.0](https://www.dropbox.com/s/8t6xtgk06o3ij61/LICENSE?dl=0).

## New features v1.0

## BugFix

- choco install visualcpp-build-tools

## Reference

- Jonathan Quiza [github](https://github.com/jonaqp).
- Jonathan Quiza [RumiMLSpark](http://rumi-ml.herokuapp.com/).
django-decorators-inkar 0.1.0
Useful decorators for Django views


# Django Decorators

This Python package provides a collection of decorators for Django views to streamline handling of request types and parameters.

## Installation

You can install the package using pip:

```shell
pip install django-decorators
```

## Usage

Import the desired decorators from the package and apply them to your view functions:

```python
from django.http import HttpResponse
from decorators import pass_only_get, pass_json_body

@pass_only_get
def my_view(request):
    # Your view logic
    return HttpResponse('Only GET requests are processed.')
```

## Features

- `pass_only_get`: Ensures that the view only processes GET requests.
- `pass_only_post`: Ensures that the view only processes POST requests.
- `pass_only_post_and_get`: Ensures that the view only processes POST and GET requests.
- `pass_json_body`: Parses and validates JSON request bodies.

## Config

You can pass parameters to check types and values of request parameters. The following parameters are available:

- `check_type=False`: Checks parameters type, if set True. (Default: False), it throws `TypeError` if the type is not matched.
- `check_value=HttpResponse`: Checks parameters type if set HttpResponse. It throws `HttpResponse` if the value is not matched.
- `check_value=Exception`: You can customize your own exception class. It throws your exception if the value is not matched.


## Contributing

Contributions are welcome! For major changes, please open an issue first to discuss what you would like to change.

## License

This project is licensed under the MIT License - see the LICENSE file for details.