semvec/pypi-packages huggingface dataset:
word-counter-AI 1.0.1
AI word counter package
Requires Python: >=3.9

# ✨ word-counter-AI ✨

Why would you want to count the words in simple, efficient and reliable way if u can use ✨AI✨ for that

`word-counter-AI` isn’t just another dull word-counting tool it’s your golden ticket to ✨tech wizardry✨! Fueled by Google’s Gemini 1.5 Flash model, it fearlessly takes on the Herculean challenge of counting words in a sentence.

Does it frequently (okay, fine mostly) mess up the numbers? Absolutely. But who cares when your code looks like it’s been pulled straight from a B-grade sci-fi flick? To the tech-illiterate masses, it screams innovation! (Think Idiocracy, but with better branding).

Because let’s face it, coding isn’t always about solving problems it’s about looking like you’ve hacked the Matrix and are sipping martinis on a neon-lit hovercraft. Toss in a dash of "AI magic," and watch as people marvel at your ✨genius✨. Efficiency is overrated anyway what really matters is ✨vibes✨. 😉

## Installation

To install `word-counter-AI`, use pip:

```sh
pip install word-counter-AI
```
## Usage

To use `word-counter-AI`, you'll need an gemini API key. You can get one by signing up at [Gemini AI studio](https://aistudio.google.com/apikey)

### Example

```python
from word_counter_AI import WordCounter

wc = WordCounter(key="Your_API_KEY")
count = wc.count_words("AI will take over our jobs...")

```

## Contributing

Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.

## License

This project is licensed under the MIT license
bama-gcp-utils 1.0.0
GCP Utilities for BigQuery
Requires Python: >=3.6

# GCP Utils

A Python package for interacting with Google BigQuery, providing easy-to-use utilities for data operations.

## Installation

```bash
pip install bama-gcp-utils
```

## Usage

```python
from gcp_utils import BigQueryClient

# Initialize the client
client = BigQueryClient(
    project_id="your-project-id",
    dataset_id="your-dataset-id"
)

# Set your credentials
client.set_key_file("path/to/your/credentials.json")

# Example: Query data
df = client.sql2df("SELECT * FROM your_table LIMIT 10")
```

## Features

- Easy BigQuery table operations
- DataFrame integration with pandas
- Secure credential management
- Table schema modifications
- Data transfer utilities

## Requirements

- Python >= 3.6
- google-cloud-bigquery
- google-cloud-storage
- pandas
- pandas-gbq
- pyarrow

## License

This project is licensed under the MIT License.