| Name | datareservoirio JSON |
| Version |
0.12.18
JSON |
| download |
| home_page | None |
| Summary | DataReservoir.io Python API |
| upload_time | 2024-04-26 10:17:02 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >3.10 |
| license | MIT License Copyright (c) 2022 4Subsea Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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DataReservoir.io
================
The Python API for `DataReservoir.io`_ - ``datareservoirio`` comes with all
batteries included. It provides both convenient high-level and low-level
access.
We built the Python experience with engineers and data scientists in mind.
Because we believe insight arise when engineers are empowered with the right
data at the right time, and in the right manner. In fact, ``datareservoirio`` is
best friends with the rich Python scientific
ecosystem! It works natively with `Pandas`_ objects, and thus a perfect match
if you work with `Numpy`_, `SciPy`_, `Matplotlib`_, `scikit-learn`_, and many
more!
``datareservoirio`` is also a comprehensive library that can be used to
build other apps and services. The path from experimentation to apps and
services got a little bit shorter!
.. _DataReservoir.io: https://www.datareservoir.io/
.. _Matplotlib: https://matplotlib.org/
.. _Numpy: https://www.numpy.org/
.. _Pandas: https://pandas.pydata.org/
.. _scikit-learn: https://scikit-learn.org/
.. _SciPy: https://www.scipy.org/
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