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{ | ||
"path": "../../../../lifelib/libraries/savings/savings_example4.ipynb" | ||
} |
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.. currentmodule:: lifelib.libraries | ||
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.. _relnotes_v0.8.1: | ||
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================================== | ||
lifelib v0.8.1 (3 May 2023) | ||
================================== | ||
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This release adds a new example in :mod:`~savings`. | ||
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To update lifelib, run the following command:: | ||
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>>> pip install lifelib --upgrade | ||
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If you're using Anaconda, use the ``conda`` command instead:: | ||
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>>> conda update lifelib | ||
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New Example | ||
=============== | ||
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This release adds a new example, :doc:`/libraries/savings/savings_example4` in :mod:`~savings`. | ||
The example shows how to profile and optimize a model using ``CashValue_ME_EX1`` as an example. | ||
The optimization approach involves replacing pandas DataFrames and Series with numpy arrays. | ||
The optimized model used in the example is included in :mod:`~savings` as ``CashValue_ME_EX4``. | ||
The example is based on recommendation given by `alexeybaran <https://github.com/fumitoh/modelx/discussions/79>`_ | ||
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