emr-py 0.3.3

My custom library for data science, trading and ML projects

EMR-Py

A collection of utilities for now to:

• encode data.
• logging.
• Integrating with Telegram bots—designed for use in trading and data science workflows.

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Project Structure

src/emrpy/
    encoders.py           # Utilities for encoding categorical data using scikit-learn
    decorators.py         # Function decorators for timing and memory profiling
    telegrambot.py        # Async Telegram bot for sending trading notifications
    logging/
        logger_config.py  # High-level logger configuration utilities
tests/
    test_encoders.py      # Unit tests for encoding functionality
    test_logger_config.py # Unit tests for logger configuration
    test_telegram_bot.py  # Integration tests for the Telegram bot
.github/
    actions/
        setup/action.yml  # Custom GitHub Action for installing dependencies
    workflows/
        code-quality.yml  # CI workflow for formatting, linting, and testing

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Main Functionalities

• Data Encoding (encoders.py): Provides a robust function to encode categorical columns in pandas DataFrames using sklearn's OrdinalEncoder, with special handling for unknown and missing values.

• Decorators (decorators.py): Includes decorators to measure function execution time and memory usage, useful for profiling and debugging.

• Telegram Trading Bot (telegrambot.py): An async-first Telegram bot to send trading notifications, alerts, and bulk messages, with error handling and logging built-in. Uses the python-telegram-bot library.

• Logging Utilities (logging/logger_config.py): Easy-to-configure, colored, and optionally rotating log files, suitable for both scripts and Jupyter notebooks.