semvec/pypi-packages huggingface dataset:
data-reporter 0.2
Это data_reporte, делай с ним че хочешь
License: MIT
Requires Python: >=3.10

Финансовый отдел  анализирует доходы и расходы компании по различным категориям. Автоматизация этого процесса позволит сэкономить время и избежать ошибок.

Python-пакет, который будет загружать данные о транзакциях, группировать их по категориям (доходы и расходы) и генерировать отчёт с суммами для каждой категории.

**Функциональность пакета**

Напиши пакет, который:

- Загружает данные о транзакциях из CSV-файла и группирует их по категориям.

- Выводит общий объём транзакций для каждой категории.

- Поддерживает запуск через командную строку с опциями:
  - `--input_file` для указания входного файла `.сsv`,
  - `--output_file` для указания выходного файла `.txt`.

Пример ввода: 
```bash

python3 -m data_reporter --input_file data/transactions.csv --output_file info.txt
sdkfabric-airtable 0.4.2
Airtable Python SDK managed by SDK Fabric
License: MIT
Requires Python: >=3.8


# Airtable SDK

This SDK is managed by the [SDK Fabric](https://sdk-fabric.org/) project.
Our goal is to build a global infrastructure to automatically generate
an SDK for every API, please take a look at our website for more information.

## Contribution

Please do not create a pull requests at this repository since the code is
automatically generated. If an operation or type is missing at the client SDK
please register at the [TypeHub](https://typehub.cloud/) platform and create
a pull request at the [Airtable](https://app.typehub.cloud/d/sdkfabric/airtable)
specification. The system will then automatically create a GIT commit and update
the code.

## Usage

The following example shows how you initialize the client:

```python
from sdk.client import Client

client = Client.build("[access_token]")

// @TODO use the client
```

You can find all available operations and types at:
https://app.typehub.cloud/d/sdkfabric/airtable
screen3 0.1.2
Thin Python wrapper for the SCREEN3 point source dispersion model
License: MIT
Requires Python: <4,>=3.6

# screen3
*Thin Python wrapper for the* [SCREEN3](https://www.epa.gov/scram/air-quality-dispersion-modeling-screening-models#screen3) *point source dispersion model*

[![CI workflow status](https://github.com/zmoon/screen3/actions/workflows/ci.yml/badge.svg)](https://github.com/zmoon/screen3/actions/workflows/ci.yml)
[![Version on PyPI](https://img.shields.io/pypi/v/screen3.svg)](https://pypi.org/project/screen3/)
[![Project Status: Inactive – The project has reached a stable, usable state but is no longer being actively developed; support/maintenance will be provided as time allows.](https://www.repostatus.org/badges/latest/inactive.svg)](https://www.repostatus.org/#inactive)

[pdoc](https://pdoc.dev/) API documentation: <https://zmoon.github.io/screen3/screen3.html>

## Installation

Stable:
```
pip install screen3
```

Latest:
```
pip install https://github.com/zmoon/screen3/archive/main.zip
```

### SCREEN3

The `screen3` Python installation via `pip` does not include the SCREEN3 model itself.
To download it (into `./src/`), you can use (within Python):
```python
import screen3
screen3.download()
```
or on the command line:
```
python -c "import screen3; screen3.download()"
```

#### Windows

On Windows, the above (download only) is sufficient to be able to use `screen3`,
since EPA provides an executable compiled for Windows.

#### Non-Windows

On non-Windows platforms, the SCREEN3 model must be built from source.
The `screen3.build` function, which requires `patch` and `gfortran`, can be used:
```
python -c "import screen3; screen3.build()"
```
or combined with the download:
```
python -c "import screen3; screen3.download(); screen3.build()"
```

## Examples

To obtain the examples, `git clone` the repo, use Code > Download Zip (buttons), or use this [DownGit](https://github.com/MinhasKamal/DownGit) link:  
<https://downgit.github.io/#/home?url=https://github.com/zmoon/screen3/tree/main/examples>