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  1. Metadata-Version: 2.1
    2. 

  2. Name: scipy
    3. 

  3. Version: 1.2.3
    4. 

  4. Summary: SciPy: Scientific Library for Python
    5. 

  5. Home-page: https://www.scipy.org
    6. 

  6. Maintainer: SciPy Developers
    7. 

  7. Maintainer-email: scipy-dev@python.org
    8. 

  8. License: BSD
    9. 

  9. Download-URL: https://github.com/scipy/scipy/releases
    10. 

  10. Platform: Windows
    11. 

  11. Platform: Linux
    12. 

  12. Platform: Solaris
    13. 

  13. Platform: Mac OS-X
    14. 

  14. Platform: Unix
    15. 

  15. Classifier: Development Status :: 5 - Production/Stable
    16. 

  16. Classifier: Intended Audience :: Science/Research
    17. 

  17. Classifier: Intended Audience :: Developers
    18. 

  18. Classifier: License :: OSI Approved :: BSD License
    19. 

  19. Classifier: Programming Language :: C
    20. 

  20. Classifier: Programming Language :: Python
    21. 

  21. Classifier: Programming Language :: Python :: 2
    22. 

  22. Classifier: Programming Language :: Python :: 2.7
    23. 

  23. Classifier: Programming Language :: Python :: 3
    24. 

  24. Classifier: Programming Language :: Python :: 3.4
    25. 

  25. Classifier: Programming Language :: Python :: 3.5
    26. 

  26. Classifier: Programming Language :: Python :: 3.6
    27. 

  27. Classifier: Topic :: Software Development
    28. 

  28. Classifier: Topic :: Scientific/Engineering
    29. 

  29. Classifier: Operating System :: Microsoft :: Windows
    30. 

  30. Classifier: Operating System :: POSIX
    31. 

  31. Classifier: Operating System :: Unix
    32. 

  32. Classifier: Operating System :: MacOS
    33. 

  33. Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
    34. 

  34. License-File: LICENSE.txt
    35. 

  35. Requires-Dist: numpy (>=1.8.2)
    36. 

  36. 

  37. SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
    38. 

  38. science, and engineering. The SciPy library
    39. 

  39. depends on NumPy, which provides convenient and fast N-dimensional
    40. 

  40. array manipulation. The SciPy library is built to work with NumPy
    41. 

  41. arrays, and provides many user-friendly and efficient numerical
    42. 

  42. routines such as routines for numerical integration and optimization.
    43. 

  43. Together, they run on all popular operating systems, are quick to
    44. 

  44. install, and are free of charge.  NumPy and SciPy are easy to use,
    45. 

  45. but powerful enough to be depended upon by some of the world's
    46. 

  46. leading scientists and engineers. If you need to manipulate
    47. 

  47. numbers on a computer and display or publish the results,
    48. 

  48. give SciPy a try!
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  49. 

  50. 

  51.