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Update getting started docs w/ direct url launch
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Whether you need to visualize one thousand cells or one million, cellxgene helps you gain insight into your single-cell data.
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Whether you need to visualize one thousand cells or one million, cellxgene helps you gain insight into your single-cell data.
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To install cellxgene you need Python 3.6+. We recommend [installing cellxgene into a conda or virtual environment.](/faq.html#how-do-i-create-a-python-environment-for-cellxgene)
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To install cellxgene you need Python 3.6+. We recommend [installing cellxgene into a conda or virtual environment.](install)
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Install the package.
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Install the package.
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``` bash
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``` bash
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pip install cellxgene
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pip install cellxgene
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```
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```
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Download an example [anndata](https://anndata.readthedocs.io/en/latest/) file
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Launch cellxgene with an example [anndata](https://anndata.readthedocs.io/en/latest/) file
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``` bash
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``` bash
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curl -o tabula-muris.h5ad https://cellxgene-example-data.czi.technology/tabula-muris.h5ad.zip
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cellxgene launch https://cellxgene-example-data.czi.technology/pbmc3k.h5ad
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unzip tabula-muris.h5ad.zip
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```
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Launch cellxgene
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``` bash
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cellxgene launch tabula-muris.h5ad --open
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```
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```
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To explore more datasets already formatted for cellxgene, check out the [Demo data](demo-data) or
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To explore more datasets already formatted for cellxgene, check out the [Demo data](demo-data) or
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