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| .github/ISSUE_TEMPLATE | ||
| docker | ||
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| .gitignore | ||
| 01_the_machine_learning_landscape.ipynb | ||
| 02_end_to_end_machine_learning_project.ipynb | ||
| 03_classification.ipynb | ||
| 04_training_linear_models.ipynb | ||
| 05_support_vector_machines.ipynb | ||
| 06_decision_trees.ipynb | ||
| 07_ensemble_learning_and_random_forests.ipynb | ||
| 08_dimensionality_reduction.ipynb | ||
| 09_unsupervised_learning.ipynb | ||
| 10_neural_nets_with_keras.ipynb | ||
| 11_training_deep_neural_networks.ipynb | ||
| 12_custom_models_and_training_with_tensorflow.ipynb | ||
| 13_loading_and_preprocessing_data.ipynb | ||
| 14_deep_computer_vision_with_cnns.ipynb | ||
| 15_processing_sequences_using_rnns_and_cnns.ipynb | ||
| 16_nlp_with_rnns_and_attention.ipynb | ||
| 17_autoencoders_gans_and_diffusion_models.ipynb | ||
| 18_reinforcement_learning.ipynb | ||
| 19_training_and_deploying_at_scale.ipynb | ||
| CHANGES.md | ||
| CMakeLists.txt | ||
| INSTALL.md | ||
| LICENSE | ||
| LICENSE-GPL | ||
| LICENSE-SWIG | ||
| LICENSE-UNIVERSITIES | ||
| README.md | ||
| apt.txt | ||
| book_equations.pdf | ||
| environment.yml | ||
| extra_ann_architectures.ipynb | ||
| extra_autodiff.ipynb | ||
| extra_gradient_descent_comparison.ipynb | ||
| index.ipynb | ||
| math_differential_calculus.ipynb | ||
| math_linear_algebra.ipynb | ||
| ml-project-checklist.md | ||
| requirements.txt | ||
| tools_matplotlib.ipynb | ||
| tools_numpy.ipynb | ||
| tools_pandas.ipynb | ||
README.md
SWIG Python Distributions
A project that packages SWIG as a Python package, enabling swig to be installed from PyPI:
pip install swig
or used as part of build-system.requires in a pyproject.toml file:
[build-system]
requires = ["swig"]
PyPI package versions will follow the major.minor.patch version numbers of SWIG releases.
Binary wheels for Windows, macOS, and Linux for most CPU architectures supported on PyPI are provided. ARM wheels for Raspberry Pi available at https://www.piwheels.org/project/swig/.
SWIG License: GPL-3.0-or-later with portions under LICENSE-UNIVERSITIES (see LICENSE-SWIG for details)
Installing SWIG
SWIG can be installed by pip with:
pip install swig
or:
python -m pip install swig
Building from the source dist package requires internet access in order to download a copy of the SWIG source code.
Using with pipx
Using pipx run swig <args> will run SWIG without any install step, as long as the machine has pipx installed (which includes GitHub Actions runners).
Using with pyproject.toml
SWIG can be added to the build-system.requires key in a pyproject.toml file for building Python extensions that use SWIG to generate bindings.
[build-system]
requires = ["swig"]
License
The code for this project is covered by the Apache License, Version 2.0. Source distributions do not include a copy of the SWIG source code or binaries. Binary wheels are covered by the SWIG license (GPLv3), due to their inclusion of a compiled SWIG binary and library files.
SWIG is distributed under the GNU General Public License v3 or later with portions under the file LICENSE-UNIVERSITIES. For more information about SWIG, visit http://www.swig.org