added initial page for sparql in python

pages/tutorial/sparql_python.md

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+---
+title: # About MiMoTextBase
+summary:
+permalink: sparql_in_python.html
+keywords:
+sidebar: mydoc_sidebar_tutorial
+folder: tutorial
+toc: false
+---
+
+### Using SPARQL in Python
+
+If you are interested in running SPARQL queries in python, here you can find some information on how to do so.
+One advantage in using a the wikibase and its query service is that it comes with different built-in code formats, such as HTML, JavaScript, R, python and more.
+Here you will find instructions in how to access those codes and how to use it further.
+The first steps will be explained here, the next steps will be shown in a jupyter notebook.
+
+
+#### Step 1 - Write your query:
+
+The first step is to write your SPARQL-Query within the SPARQL-Query endpoint interface, for example [here](https://query.mimotext.uni-trier.de/){:target="\_blank", rel: "noopener noreferrer"} in order to access the MiMoTextBase.
+
+***Example query***
+In this tutorial we are using a quite simple query that is listing all literary works and their year of publication within the MiMoTextBase. You can find the query [here](https://tinyurl.com/yoa5z6ke){:target="\_blank", rel: "noopener noreferrer"}
+
+#### Step 2 - Run query:
+Run your query! This step is necessary to display the "Code"-Option where you can find the different code embeddings of the query.
+
+#### Step 3 - Access code:
+Once the result generation is finished, you will find some additional options in the interface in between the query field and the result.
+![step3-1](images/sparql_python/sparql_python_step3-1.png)
+
+If you click on the </>Code-Button, a new window will open showing all options for embedding the recently run query in different coding languages.
+Now you can choose python and you will get the code that is necessary to run the query within a python script.
+![step3-2](images/sparql_python/sparql_python_step3-2.png)
+
+#### Step 4 - Install libraries:
+Here you can also see all python libraries that are used for running the query, that is sys and SPARQLWrapper - the latter you may have to install if you are using it for the first time. For more information on how to do so, see the [documentation](https://sparqlwrapper.readthedocs.io/en/stable/main.html){:target="\_blank", rel: "noopener noreferrer"}.
+
+#### Step 5 - Copy and paste code:
+Now you are ready to copy the generated code into your python script. For this and the next steps, you can find our example in a jupyter notebook here:
+
+