Python libraries for SciScript, Jupyter Notebooks
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Python libraries for Jupyter Notebooks

This python package provides functions for quick access of SciServer APIs (web services) and tools. SciServer provides a new online framework for data-intensive scientifc computing in the cloud, where the motto is to bring the computation close where the data is stored, and allow seamless access and sharing of big data sets within the scientific community.

Some SciServer tools you can access with this package:

  • Login Portal: Single sign-on portal to all SciServer applications.

  • CasJobs: Database storage and querying.

  • SciDrive: Drag-and-drop file storage and sharing.

  • SkyServer: Access to the SDSS astronomical survey.

  • SkyQuery: Cross-match of astronomical source catalogs.

  • Compute Jobs and SciQuery Jobs: Synch and asynch submission of Jupyter notebooks, shell commands and SQL queries.

  • Files: Interact with the SciServer file system.

Maintainer: Manuchehr Taghizadeh-Popp.

Authors: Gerard Lemson, Manuchehr Taghizadeh-Popp.

1) Cloning the code locally:

1.1.- Run git clone

2) Setting configuration parameters:

2.1.- Open ./py2/SciServer/ and ./py3/SciServer/, and edit the API URLs and parameters to match those of the SciServer tools and installation, according to the instructions and descriptions found therein.

3) Installation:

There are 2 possibilities: automatic or manual installation.

a) Automatic Installation and Update:

3.a.1.- Run python in order to see the version tags that label each SciServer release containing new SciScript code.

3.a.2.- To install or update, run python tag, where tag is the version tag of the SciServer release containing the SciScript version you want to install or update to (see previous step). If tag is not specified, then the latest version will be installed.

b) Manual Installation:

3.b.1.- To install python 2 code, run python install while in the ./py2 directory.

3.b.2.- To install python 3 code, run python3 install while in the ./py3 directory.

4) Creating HTML documentation:

4.1.- Run make html while in the ./docs_sphinx/ directory. The html files will be created in ./docs_sphinx/_build/

5) Unit Tests:

5.1.- Open ./Tests/ and edit the Authentication_loginName and Authentication_loginPassword parameters in order to run the Tests under the credentials of a (test) user.

5.2.- Run python while in the ./Tests directory in order to run the unit tests for the SciScript-Python modules. Be sure all that all tests end with an OK status.

6) Examples.

6.1.- In the directory ./Examples you can find python scripts or Jupyter notebooks that will run sample code using SciScript-Python modules and methods.