A comprehensive Python library providing utilities for scientific computing, particularly focused on quantum physics simulations and numerical methods. This library consolidates commonly used functionalities into a unified, easy-to-use package with support for both NumPy and JAX backends.
- Advanced linear algebra operations with NumPy/JAX backend support
- Sparse matrix operations and solvers
- Eigenvalue/eigenvector computations
- Preconditioners for iterative solvers
- ODE solving utilities
- High-quality pseudorandom number generators
- Statistical functions and utilities
- Mathematical utilities and special functions
- Support for reproducible random sequences
- Tools for creating and manipulating lattice geometries
- Support for square, hexagonal, and honeycomb lattices
- Neighbor finding and lattice navigation
- Common lattice operations for condensed matter physics
- Neural network implementations with JAX/NumPy backends
- Training utilities and optimizers
- Loss functions and schedulers
- Keras integration utilities
- Quantum state manipulations
- Density matrix operations
- Entropy calculations
- Eigenstate analysis
- Quantum operator utilities
- File and directory management
- Data handling and HDF5 support
- Plotting and visualization tools
- Logging and debugging utilities
- Binary operations and bit manipulation
pip install -e .Or for development:
git clone <repository-url>
cd general_python
pip install -e .import general_python as gp
# Use algebra utilities with automatic backend detection
from general_python.algebra import utils
backend = utils.get_global_backend()
# Create a lattice
from general_python.lattices import SquareLattice
lattice = SquareLattice(4, 4)
# Mathematical utilities
from general_python.maths import math_utils
result = math_utils.some_function()Full documentation is available at Read the Docs.
MIT License - see LICENSE file for details.
Contributions are welcome! Please see the contributing guidelines in the documentation.