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Sync numpy-tutorial with the maintenance update of NumPy Tutorial: Your First Steps Into Data Science in Python
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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‎numpy-tutorial/requirements.txt‎

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appnope==0.1.0
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argon2-cffi==20.1.0
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async-generator==1.10
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attrs==20.2.0
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backcall==0.2.0
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bleach==3.2.1
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cffi==1.14.3
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cycler==0.10.0
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decorator==4.4.2
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defusedxml==0.6.0
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entrypoints==0.3
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ipykernel==5.3.4
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ipython==7.17.0
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ipython-genutils==0.2.0
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jedi==0.17.2
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Jinja2==2.11.2
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jsonschema==3.2.0
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jupyter-client==6.1.7
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jupyter-core==4.6.3
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jupyterlab-pygments==0.1.2
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kiwisolver==1.2.0
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MarkupSafe==1.1.1
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matplotlib==3.3.0
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mistune==0.8.4
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nbclient==0.5.1
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nbconvert==6.0.7
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nbformat==5.0.8
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nest-asyncio==1.4.2
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notebook==6.1.4
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numpy==1.19.1
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packaging==20.4
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pandocfilters==1.4.3
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parso==0.7.1
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pexpect==4.8.0
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pickleshare==0.7.5
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Pillow==7.2.0
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prometheus-client==0.8.0
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prompt-toolkit==3.0.6
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ptyprocess==0.6.0
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pycparser==2.20
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Pygments==2.6.1
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pyparsing==2.4.7
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pyrsistent==0.17.3
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python-dateutil==2.8.1
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pyzmq==19.0.2
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Send2Trash==1.5.0
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six==1.15.0
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terminado==0.9.1
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testpath==0.4.4
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tornado==6.0.4
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traitlets==4.3.3
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wcwidth==0.2.5
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webencodings==0.5.1
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matplotlib==3.11.2
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notebook==7.6.3
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numpy==2.5.4

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