environment.yml

# This Conda environment facilitates package management and ensures reproducibility.
#
# It sets up a virtual environment with specified dependencies and versions,
# making it easier to run commands via a Makefile for a consistent development and execution environment.

name: electric-brew
channels:
  - conda-forge

dependencies:
  - alive-progress # Interactive progress bars in the terminal
  - make           # Build automation using Makefile
  - matplotlib     # Plotting with plt.hist(), plt.plot(), plt.savefig(), etc.
  - numpy          # Numerical operations like sqrt() and linspace()
  - pandas         # Data manipulation and analysis using DataFrames
  - pdfplumber     # Parsing PDF files and extracting text from them
  - pyarrow        # Curating data into `.parquet` structures with compression and logical partitioning
  - python-duckdb  # In-process SQL OLAP database for direct querying and manipulation of Parquet files
  - seaborn        # Advanced plotting of linear regressions
  - scikit-learn   # For machine learning models, metrics, and preprocessing
  - tabulate       # Clean Markdown-friendly table outputs of DataFrames