semvec/pypi-packages huggingface dataset:
btc-tx-scraper 0.1.0
A comprehensive library for scraping and analyzing Bitcoin transactions
Requires Python: >=3.7

# BTC Transaction Scraper

A comprehensive library for scraping and analyzing Bitcoin transactions.

## Features

- Scrape Bitcoin transactions from Blockchair's data dumps
- Filter transactions based on USD value, BTC amount, and date range
- Flexible scraping intervals: daily, weekly, or random
- Progress saving and resuming capabilities
- Transaction analysis tools
- Export data to CSV and JSON formats

## Installation

You can install the BTC Transaction Scraper using pip:

```
pip install btc_tx_scraper
```

## Usage

Here's a quick example of how to use the BTC Transaction Scraper:

```python
from btc_tx_scraper import BTCTransactionScraper, TransactionFilter, IntervalType
from datetime import datetime

# Initialize the scraper
scraper = BTCTransactionScraper()

# Define the transaction filter
transaction_filter = TransactionFilter(
    min_usd_value=10000000,  # Minimum transaction value in USD
    start_date=datetime(2018, 1, 1),
    end_date=datetime(2024, 6, 26)
)

# Scrape transactions
scraper.scrape_transactions(transaction_filter, interval=IntervalType.WEEKLY)

# Analyze transactions
analysis = scraper.analyze_transactions()
print(analysis)

# Export data
scraper.export_to_csv("large_bitcoin_transactions.csv")
scraper.export_to_json("large_bitcoin_transactions.json")
```

## Documentation

For full documentation, please refer to the [docs](https://github.com/yourusername/btc_tx_scraper/docs) directory.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
code8 0.1.6
a dashboard to use LLMs to directly on your code files, save and load custom profiles with custom prompts and more.

# code8

code8 is a dashboard to use LLMs to directly on your code files, save and load custom profiles with custom prompts and more.

## Installation

```python
pip install code8
```

## Usage

After installation, simply run the following command in your terminal:

```python
code8
```

This will open up a web browser with the code8 UI, allowing you configure settings
and select files to run the LLMs on.

After configuring the settings using "code8", you could continue using the tool
through the UI with "code8", or you could use it in your terminal:

```python
code8 example.py
```

this will run the tool directly from the terminal without having to use the UI.