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simplify the install cell
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tutorials/cloud_access/cloud-access-intro.md

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@@ -71,34 +71,22 @@ It can be used to substitute values for the following variables, which are used
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## 3. Imports
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Libraries are imported at the top of each section when used.
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The following libraries will be used:
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- astropy: perform image cutouts
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- hpgeom: map sky location to catalog partition
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- matplotlib: view results
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- pandas: query Parquet datasets
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- pyarrow: work with Parquet datasets
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- pyvo: locate images in the cloud (pyvo>=1.5 required)
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- s3fs: browse buckets
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Libraries are imported at the top of each section where used.
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This cell will install them if needed:
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```{code-cell} ipython3
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try:
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import astropy # perform image cutouts
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import hpgeom # map sky location to catalog partition
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import matplotlib # view results
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import pandas # query Parquet datasets
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import pyarrow # work with Parquet datasets
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import pyvo # locate images in the cloud (pyvo>=1.5 required)
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import s3fs # browse buckets
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except ImportError:
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%pip install astropy
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%pip install hpgeom
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%pip install pandas
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%pip install pyarrow
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%pip install pyvo>=1.5
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%pip install s3fs
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%pip install -U matplotlib
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# check for pyvo>=1.5 (required for SIA2Service)
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try:
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import pyvo
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pyvo.dal.SIA2Service("https://irsa.ipac.caltech.edu/SIA")
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except AttributeError:
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%pip install --upgrade pyvo
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# note that you may need to restart the kernel to use the updated package
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# Uncomment the next line to install dependencies if needed.
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# !pip install astropy hpgeom pandas pyarrow pyvo>=1.5 s3fs matplotlib
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```
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## 4. Browse buckets
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## About this notebook
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- Author: Troy Raen (IRSA Developer) in conjunction with Brigitta Sipőcz, Jessica Krick and the IPAC Science Platform team
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- Updated: 2023-12-22
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- Contact: https://irsa.ipac.caltech.edu/docs/help_desk.html
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- Updated: 2024-07-29

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