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1 Metadata-Version: 2.1
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2 Name: numpy
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3 Version: 1.24.4
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4 Summary: Fundamental package for array computing in Python
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5 Home-page: https://www.numpy.org
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6 Author: Travis E. Oliphant et al.
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7 Maintainer: NumPy Developers
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8 Maintainer-email: numpy-discussion@python.org
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9 License: BSD-3-Clause
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10 Download-URL: https://pypi.python.org/pypi/numpy
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11 Project-URL: Bug Tracker, https://github.com/numpy/numpy/issues
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12 Project-URL: Documentation, https://numpy.org/doc/1.24
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13 Project-URL: Source Code, https://github.com/numpy/numpy
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14 Platform: Windows
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15 Platform: Linux
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16 Platform: Solaris
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17 Platform: Mac OS-X
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18 Platform: Unix
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19 Classifier: Development Status :: 5 - Production/Stable
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20 Classifier: Intended Audience :: Science/Research
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21 Classifier: Intended Audience :: Developers
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22 Classifier: License :: OSI Approved :: BSD License
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23 Classifier: Programming Language :: C
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24 Classifier: Programming Language :: Python
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25 Classifier: Programming Language :: Python :: 3
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26 Classifier: Programming Language :: Python :: 3.8
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27 Classifier: Programming Language :: Python :: 3.9
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28 Classifier: Programming Language :: Python :: 3.10
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29 Classifier: Programming Language :: Python :: 3.11
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30 Classifier: Programming Language :: Python :: 3 :: Only
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31 Classifier: Programming Language :: Python :: Implementation :: CPython
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32 Classifier: Topic :: Software Development
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33 Classifier: Topic :: Scientific/Engineering
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34 Classifier: Typing :: Typed
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35 Classifier: Operating System :: Microsoft :: Windows
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36 Classifier: Operating System :: POSIX
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37 Classifier: Operating System :: Unix
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38 Classifier: Operating System :: MacOS
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39 Requires-Python: >=3.8
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40 Description-Content-Type: text/markdown
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41 License-File: LICENSE.txt
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42 License-File: LICENSES_bundled.txt
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43
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44 <h1 align="center">
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45 <img src="/branding/logo/primary/numpylogo.svg" width="300">
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46 </h1><br>
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47
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48
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49 [](
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50 https://numfocus.org)
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51 [](
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52 https://pypi.org/project/numpy/)
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53 [](
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54 https://anaconda.org/conda-forge/numpy)
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55 [](
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56 https://stackoverflow.com/questions/tagged/numpy)
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57 [](
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58 https://doi.org/10.1038/s41586-020-2649-2)
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59 [](https://api.securityscorecards.dev/projects/github.com/numpy/numpy)
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60
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61
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62 NumPy is the fundamental package for scientific computing with Python.
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63
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64 - **Website:** https://www.numpy.org
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65 - **Documentation:** https://numpy.org/doc
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66 - **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion
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67 - **Source code:** https://github.com/numpy/numpy
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68 - **Contributing:** https://www.numpy.org/devdocs/dev/index.html
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69 - **Bug reports:** https://github.com/numpy/numpy/issues
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70 - **Report a security vulnerability:** https://tidelift.com/docs/security
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71
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72 It provides:
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73
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74 - a powerful N-dimensional array object
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75 - sophisticated (broadcasting) functions
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76 - tools for integrating C/C++ and Fortran code
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77 - useful linear algebra, Fourier transform, and random number capabilities
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78
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79 Testing:
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80
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81 NumPy requires `pytest` and `hypothesis`. Tests can then be run after installation with:
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82
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83 python -c 'import numpy; numpy.test()'
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84
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85 Code of Conduct
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86 ----------------------
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87
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88 NumPy is a community-driven open source project developed by a diverse group of
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89 [contributors](https://numpy.org/teams/). The NumPy leadership has made a strong
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90 commitment to creating an open, inclusive, and positive community. Please read the
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91 [NumPy Code of Conduct](https://numpy.org/code-of-conduct/) for guidance on how to interact
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92 with others in a way that makes our community thrive.
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93
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94 Call for Contributions
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95 ----------------------
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96
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97 The NumPy project welcomes your expertise and enthusiasm!
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98
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99 Small improvements or fixes are always appreciated. If you are considering larger contributions
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100 to the source code, please contact us through the [mailing
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101 list](https://mail.python.org/mailman/listinfo/numpy-discussion) first.
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102
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103 Writing code isn’t the only way to contribute to NumPy. You can also:
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104 - review pull requests
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105 - help us stay on top of new and old issues
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106 - develop tutorials, presentations, and other educational materials
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107 - maintain and improve [our website](https://github.com/numpy/numpy.org)
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108 - develop graphic design for our brand assets and promotional materials
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109 - translate website content
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110 - help with outreach and onboard new contributors
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111 - write grant proposals and help with other fundraising efforts
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112
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113 For more information about the ways you can contribute to NumPy, visit [our website](https://numpy.org/contribute/).
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114 If you’re unsure where to start or how your skills fit in, reach out! You can
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115 ask on the mailing list or here, on GitHub, by opening a new issue or leaving a
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116 comment on a relevant issue that is already open.
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117
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118 Our preferred channels of communication are all public, but if you’d like to
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119 speak to us in private first, contact our community coordinators at
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120 numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for
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121 an invitation).
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122
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123 We also have a biweekly community call, details of which are announced on the
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124 mailing list. You are very welcome to join.
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125
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126 If you are new to contributing to open source, [this
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127 guide](https://opensource.guide/how-to-contribute/) helps explain why, what,
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128 and how to successfully get involved.
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129
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130
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