semvec/pypi-packages huggingface dataset:
tangent-works-2 0.1.2
Tangent Works Python Client
License: MIT
Requires Python: >=3.12

# Tangent Works Python Client

Tangent Information Modeler is Tangent Works’ automatic model building engine. It is designed specifically for time-series forecasting and anomaly detection.

The Tangent Works Python client introduces an easy and fast way to use Tangent Works in any Python project.

## Usage

### Installation

To install the package run: `pip install tangent-works`

## About Tangent Works

Tangent Works delivers forecasting and anomaly detection capabilities for time series data in a fast, accurate and explainable way. This enables users to drive business value from predictive analytics, empowers them to take informed decisions and helps them improve processes.

TIM has already been recognized as a winner in multiple competitions, including GEFCom 2017 and the 2017 ANDRITZ Hackathon.
parquet-tools 0.2.16
Easy install parquet-tools
License: MIT
Requires Python: >=3.9
Keywords: parquet-tools,parquet

# parquet-tools

![Run Unittest](https://github.com/ktrueda/parquet-tools/workflows/Run%20Unittest/badge.svg)
![Run CLI test](https://github.com/ktrueda/parquet-tools/workflows/Run%20CLI%20test/badge.svg)

This is a pip installable [parquet-tools](https://github.com/apache/parquet-mr).
In other words, parquet-tools is a CLI tools of [Apache Arrow](https://github.com/apache/arrow).
You can show parquet file content/schema on local disk or on Amazon S3.
It is incompatible with original parquet-tools.

## Features

- Read Parquet data (local file or file on S3)
- Read Parquet metadata/schema (local file or file on S3)

## Installation

```bash
$ pip install parquet-tools
```

## Usage

```bash
$ parquet-tools --help
usage: parquet-tools [-h] {show,csv,inspect} ...

parquet CLI tools

positional arguments:
  {show,csv,inspect}
    show              Show human readble format. see `show -h`
    csv               Cat csv style. see `csv -h`
    inspect           Inspect parquet file. see `inspect -h`

optional arguments:
  -h, --help          show this help message and exit
```

## Usage Examples

#### Show local parquet file

```bash
$ parquet-tools show test.parquet
+-------+-------+---------+
|   one | two   | three   |
|-------+-------+---------|
|  -1   | foo   | True    |
| nan   | bar   | False   |
|   2.5 | baz   | True    |
+-------+-------+---------+
```

#### Show parquet file on S3

```bash
$ parquet-tools show s3://bucket-name/prefix/*
+-------+-------+---------+
|   one | two   | three   |
|-------+-------+---------|
|  -1   | foo   | True    |
| nan   | bar   | False   |
|   2.5 | baz   | True    |
+-------+-------+---------+
```


#### Inspect parquet file schema

```bash
$ parquet-tools inspect /path/to/parquet
```

<details>

<summary>Inspect output</summary>

```
############ file meta data ############
created_by: parquet-cpp version 1.5.1-SNAPSHOT
num_columns: 3
num_rows: 3
num_row_groups: 1
format_version: 1.0
serialized_size: 2226


############ Columns ############
one
two
three

############ Column(one) ############
name: one
path: one
max_definition_level: 1
max_repetition_level: 0
physical_type: DOUBLE
logical_type: None
converted_type (legacy): NONE

############ Column(two) ############
name: two
path: two
max_definition_level: 1
max_repetition_level: 0
physical_type: BYTE_ARRAY
logical_type: String
converted_type (legacy): UTF8

############ Column(three) ############
name: three
path: three
max_definition_level: 1
max_repetition_level: 0
physical_type: BOOLEAN
logical_type: None
converted_type (legacy): NONE
```
</details>

#### Cat CSV parquet and transform [csvq](https://github.com/mithrandie/csvq)

```bash
$ parquet-tools csv s3://bucket-name/test.parquet |csvq "select one, three where three"
+-------+-------+
|  one  | three |
+-------+-------+
| -1.0  | True  |
| 2.5   | True  |
+-------+-------+
```
aimet-ml 1.0.1
Python package of frequently used modules for ML developments in AIMET..
License: MIT
Requires Python: >=3.9,<3.10

# aimet-ml


[![pypi](https://img.shields.io/pypi/v/aimet-ml.svg)](https://pypi.org/project/aimet-ml/)
[![python](https://img.shields.io/pypi/pyversions/aimet-ml.svg)](https://pypi.org/project/aimet-ml/)
[![Build Status](https://github.com/aimet-tech/aimet-ml/actions/workflows/dev.yml/badge.svg)](https://github.com/aimet-tech/aimet-ml/actions/workflows/dev.yml)
[![codecov](https://codecov.io/gh/aimet-tech/aimet-ml/branch/main/graphs/badge.svg)](https://codecov.io/github/aimet-tech/aimet-ml)



Python package of frequently used modules for ML developments in AIMET.


* Documentation: <https://aimet-tech.github.io/aimet-ml>
* GitHub: <https://github.com/aimet-tech/aimet-ml>
* PyPI: <https://pypi.org/project/aimet-ml/>
* Free software: MIT


## Features

* TODO

## Credits

This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [waynerv/cookiecutter-pypackage](https://github.com/waynerv/cookiecutter-pypackage) project template.