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intermine-ws-python-docs

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Tutorials for the InterMine Python web client

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# intermine-ws-python-docs
#### Tutorials for the InterMine Python web client

This repository comprises of tutorials to help you get familiarised with the intermine-python package. The tutorials are in the form of Jupyter-Notebooks. You can either install Jupyter on your machine, download the tutorials and then run them on your local machine or you can use Jupyter's notebook viewer facility to view the tutorials online.
You can find the NBViewer service at: https://nbviewer.jupyter.org/

If you already have python installed on your machine, you can pip install Jupyter. If you do not have Python on your machine, you can download and install Anaconda as it would install Python along with Jupyter and many other packages.
http://jupyter.readthedocs.io/en/latest/install.html

### Table of Contents
#### Tutorial 0: Registry Features
[The utilies of extracting data about mine/organism using registry](00-tutorial.ipynb)
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#### Tutorial 1: Basics of a Query
[The basics that you need to create and run a query.](01-tutorial.ipynb)

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#### Tutorial 2: Adding Constraints
[Adding simple constraints to make your queries more useful.](02-tutorial.ipynb)

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#### Tutorial 3: More about constraints
[Different types of constraints.](03-tutorial.ipynb)

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#### Tutorial 4: Query Features
[Joins and Path Descriptions.](04-tutorial.ipynb)

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#### Tutorial 5: Query Results
[Dealing with results of your query.](05-tutorial.ipynb)

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#### Tutorial 6: Advanced Results Management
[Filtering and Processing Results](06-tutorial.ipynb)

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#### Tutorial 7: Templates
[Basics of calling a template.](07-tutorial.ipynb)

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#### Tutorial 8: Accessing Templates
[Authoring and Accessing your templates.](08-tutorial.ipynb)

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#### Tutorial 9: Lists
[Creating and saving lists from identifiers.](09-tutorial.ipynb)

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#### Tutorial 10: Enrichment Calculations
[Performing Enrichment calculations on lists.](10-tutorial.ipynb)
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#### Tutorial 11: Combining Lists
[Combining lists using set operations.](11-tutorial.ipynb)

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#### Tutorial 12: More to do with queries
[Covers additional and useful operations on queries](12-tutorial.ipynb)

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#### Tutorial 13: Query Manager
[Making better queries with Query Manager](13-tutorial.ipynb)

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#### Tutorial 14: Data Visualisation
[Visualising the data using Python client.](14-tutorial.ipynb)

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#### Tutorial 15: Data Model of Various Mines
[Utilising the module to get details about the data model of various mines](15-tutorial.ipynb)

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