semvec/pypi-packages huggingface dataset:
textual-imgview 0.0.2
A simple terminal-based image viewer.
Requires Python: >=3.7

# textual-imgview

[![PyPI - Version](https://img.shields.io/pypi/v/textual-imgview.svg)](https://pypi.org/project/textual-imgview)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/textual-imgview.svg)](https://pypi.org/project/textual-imgview)

-----

**Table of Contents**

- [Installation](#installation)
- [License](#license)

## Installation

```console
pip install textual-imgview
```

## License

`textual-imgview` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
agify 0.2.0
A simple API wrapper for predicting the age, gender, and country of a person by their name.
Requires Python: >=3.9

# Asynchronous Python wrapper for (![Genderize](https://genderize.io/), ![Nationalize](https://nationalize.io/), ![Agify](https://agify.io/))
A simple API for predicting the age, gender, and country of a person by their name.

The API is free for up to 1000 names/day. No sign up or API key needed. So go ahead and try it out.

# Instalation
`pip install agify`

## Usage example:
### async version:
```python
from agify import AsyncNameAPI
g = AsyncNameAPI(["Igor", "Alex"], mode="*")
print(asyncio.run(g.get_names_info()))
# ->
{'Alex': {'age': 45,
          'count': 1114390,
          'country': [{'country_id': 'CZ', 'probability': 0.082},
                      {'country_id': 'UA', 'probability': 0.045},
                      {'country_id': 'RO', 'probability': 0.033},
                      {'country_id': 'RU', 'probability': 0.031},
                      {'country_id': 'IL', 'probability': 0.028}],
          'gender': 'male',
          'probability': 0.96},
 'Igor': {'age': 49,
          'count': 168019,
          'country': [{'country_id': 'UA', 'probability': 0.169},
                      {'country_id': 'RS', 'probability': 0.113},
                      {'country_id': 'RU', 'probability': 0.093},
                      {'country_id': 'HR', 'probability': 0.084},
                      {'country_id': 'SK', 'probability': 0.062}],
          'gender': 'male',
          'probability': 1.0}}

a = AsyncNameAPI(["Ivan"], "gender")
print(asyncio.run(a.get_names_info()))
# ->
{'Ivan': {'count': 425630, 'gender': 'male', 'probability': 1.0}}

a = AsyncNameAPI()
print(asyncio.run(a.get_limit_remaining()))
# ->
987
```

### usual version:
```python
from agify import NameAPI
g = NameAPI(["Igor", "Alex"], mode="*")
print(g.get_names_info())
# ->
{'Alex': {'age': 45,
          'count': 1114390,
          'country': [{'country_id': 'CZ', 'probability': 0.082},
                      {'country_id': 'UA', 'probability': 0.045},
                      {'country_id': 'RO', 'probability': 0.033},
                      {'country_id': 'RU', 'probability': 0.031},
                      {'country_id': 'IL', 'probability': 0.028}],
          'gender': 'male',
          'probability': 0.96},
 'Igor': {'age': 49,
          'count': 168019,
          'country': [{'country_id': 'UA', 'probability': 0.169},
                      {'country_id': 'RS', 'probability': 0.113},
                      {'country_id': 'RU', 'probability': 0.093},
                      {'country_id': 'HR', 'probability': 0.084},
                      {'country_id': 'SK', 'probability': 0.062}],
          'gender': 'male',
          'probability': 1.0}}

a = NameAPI(["Ivan"], "gender")
print(a.get_names_info())
# ->
{'Ivan': {'count': 425630, 'gender': 'male', 'probability': 1.0}}

a = NameAPI()
print(a.get_limit_remaining())
# ->
987
```

---
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
nepse-price-data 0.0.1
a python package for getting price history of companies listed in nepse
Requires Python: >=3.6

# NEPSE Price Data
This is a python package to download the stock price data of the companies listed in Nepal Stock Exchage(NEPSE).

## Installation

```bash
pip install nepse-price-data
```

##  Usage
```python
from nepse_data.automation import Automate

#scripts name
automation = Automate("nica")

final_df = automation.price_history()

#filepath to save price data
file_name = "nica.csv"
final_df.to_csv("data/" + file_name, encoding='utf-8', index=False)
```

Hurray!!! Now you will be able to download the stock price data of any companies which are listed on NEPSE...


## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

You can get some of the data from [my kaggle profile](https://www.kaggle.com/datasets/keskhanal2413/stock-price-dataset-of-top-companies-of-nepse/settings)

## Contact
If you have any queries then drop a [message here](https://www.linkedin.com/in/keskhanal/)
aws-recommendation-a5 0.0.17
Provides AWS recommendations
Requires Python: >=3.7

# aws_recommendations

aws_recommendations package gives recommendation for you aws account

Release Notes:
# v0.0.10
1. Added methods for following recommendations:
   - Low Utilization Amazon EC2 Instances
   - Underutilized Amazon Redshift Clusters
   - idle ebs volumes
   - Idle elb
   - enable s3 bucket keys
   - rds_general_purpose_ssd
   - ebs_general_purpose_ssd
   - unused_ami

# v0.0.7
1. Added methods for new recommendations
2. Added following methods:
   1. reserved_instance_lease_expiration()
   2. unassociated_elastic_ip_addresses()
   3. rds_idle_db_instances()

# v0.0.3
1. Minor bug fixes

# v0.0.2
1. Improved code quality
2. Multi region now supported

# v0.0.1 - Initial Release