environment.yml

name: flits
channels:
  - conda-forge
  - defaults

dependencies:
  # ===== Core Python =====
  - python=3.12
  
  # ===== Core Scientific Computing =====
  - numpy>=1.20.0
  - scipy>=1.7.0
  - astropy>=5.0
  - pandas>=1.3.0
  - h5py>=3.0
  
  # ===== Plotting and Visualization =====
  - matplotlib>=3.4.0
  - seaborn  # For enhanced statistical visualizations
  
  # ===== Interactive Computing =====
  - ipython
  - jupyter
  - jupyterlab  # Modern Jupyter interface
  - notebook
  - ipywidgets>=7.6.0  # Required for interactive widgets
  - ipykernel  # Jupyter kernel
  
  # ===== Performance and Parallel Computing =====
  - numba>=0.54.0  # JIT compilation
  - joblib>=1.1.0  # Parallel processing
  
  # ===== Data Analysis and Manipulation =====
  - scikit-image>=0.18.0  # Image processing and Gaussian filtering
  
  # ===== Configuration and I/O =====
  - pyyaml>=5.4.0
  - tqdm>=4.62.0  # Progress bars
  
  # ===== Statistical Analysis and Error Propagation =====
  - uncertainties>=3.1.4
  
  # ===== Astronomy-Specific Packages =====
  - astroquery  # Query astronomical databases (NED, SDSS, etc.)
  - healpy  # HEALPix for all-sky maps
  - regions  # Astronomical region handling
  
  # ===== Testing and Quality Assurance =====
  - pytest>=7.0
  - pytest-cov  # Code coverage
  - hypothesis  # Property-based testing
  
  # ===== Development Tools =====
  - black  # Code formatting
  - ruff  # Fast linter
  - mypy  # Static type checking
  - pre-commit  # Git hooks for quality checks
  
  # ===== Documentation =====
  - sphinx  # Documentation generation
  - sphinx_rtd_theme  # Read the Docs theme
  
  # ===== Package Management =====
  - pip
  - setuptools>=65
  - wheel
  
  # ===== Pip-only Packages =====
  - pip:
    # MCMC and Bayesian Inference
    - emcee>=3.1.0  # Affine-invariant MCMC sampler
    - dynesty>=2.1.0  # Nested sampling for Bayesian evidence
    - corner>=2.2.0  # Corner plots for MCMC diagnostics
    - chainconsumer>=0.34.0  # MCMC chain analysis and visualization
    
    # Fitting and Optimization  
    - lmfit>=1.0.0  # Non-linear least-squares minimization
    
    # Galactic Models
    - mwprop>=0.1.0  # Milky Way electron density models (NE2001)