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updating to new syntax

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Chris Holdgraf 2017-07-27 11:29:23 -07:00 committed by Chris Holdgraf
parent 6d08d66534
commit 9c6cd68cca
2 changed files with 6 additions and 6 deletions
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README.md
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A Binder-compatible repo with an `environment.yml` file. A Binder-compatible repo with an `environment.yml` file.
[![Binder](http://mybinder.org/badge.svg)](http://beta.mybinder.org/v2/gh/binder-examples/conda-environment/master) [![Binder](http://mybinder.org/badge.svg)](http://beta.mybinder.org/v2/gh/binder-examples/conda_environment/v1.0?filepath=index.ipynb)
Access this Binder at the following URL: Access this Binder at the following URL:
http://beta.mybinder.org/v2/gh/binder-examples/conda-environment/master http://beta.mybinder.org/v2/gh/binder-examples/conda_environment/v1.0?filepath=index.ipynb
# Notes # Notes
The `environment.yml` file should list all Python libraries on which your notebooks The `environment.yml` file should list all Python libraries on which your notebooks

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index.ipynb
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"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"This notebook uses a Python 3.4 environment with a few libraries, including `dask`, all of which were specificied using a `conda` [environment.yml](../edit/environment.yml) file. To demo the environment, we'll show a simplified example of using `dask` to analyze time series data, adapted from Matthew Rocklin's excellent repo of [dask examples](https://github.com/blaze/dask-examples) — check out that repo for the full version (and many other examples)." "This notebook uses a Python environment with a few libraries, including `dask`, all of which were specificied using a `conda` [environment.yml](../edit/environment.yml) file. To demo the environment, we'll show a simplified example of using `dask` to analyze time series data, adapted from Matthew Rocklin's excellent repo of [dask examples](https://github.com/blaze/dask-examples) — check out that repo for the full version (and many other examples)."
] ]
}, },
{ {
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} }
], ],
"source": [ "source": [
"df.A.cumsum().resample('1w', how='mean').compute().plot();" "df.A.cumsum().resample('1w').mean().compute().plot();"
] ]
} }
], ],
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"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.4.3" "version": "3.6.1"
} }
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 0 "nbformat_minor": 2
} }