Request to Add PiML to Conda

[navdeep-G]

Description:
Adding PiML to Conda would significantly enhance its accessibility, adoption, and usability across diverse environments.

Why PiML Should Be on Conda:

1. Streamlined Installation: Conda simplifies dependency resolution and environment management, especially for data science and AI workflows.
2. Broader Adoption: Many users and organizations prefer Conda over pip for managing Python environments, particularly in data science projects.
3. Reproducibility: Conda environments are widely used for ensuring reproducibility in research and production pipelines. Having PiML available via Conda would facilitate easier environment replication.
4. Ecosystem Integration: PiML aligns with other scientific and machine learning packages commonly installed via Conda (e.g., NumPy, Pandas, scikit-learn).
5. Community Demand: As PiML's user base grows, having it on Conda will lower the barrier to entry for new adopters.