View source for Lab: Getting started with VSCode, Python and RDFlib

=Lab 1: Getting started with Pycharm, Python and RDFlib=

==Topics== 
Installation of and introduction to Python, Pycharm, Pip and RDFlib.

'''PyCharm''' is a Python Integrated Development Environment (IDE) that can be used for writing python code.

'''Pip''' is used to easily install additional python packages for your coding environment.

'''RDFLib''' is a Python package for working with RDF. With this we can create RDF graphs, parse and serialize RDF, perform SPARQL queries on graphs and more.

==Tasks==

You likely already have '''Python''' installed on your computer (it comes with MAC for instance). To find out, type 'python' in  the commandline on windows or type 'python --version' in the terminal on your MAC. 
If you don't already have Python, download and install the Python for your operative system [https://www.python.org/downloads/ here.]
We recommend downloading the most recent version. 

If you are already using a different Python IDE than Pycharm that you are comfortable with, then you are free to use that program instead.

Otherwise Download and Install the free and open source '''Pycharm Community Edition''' IDE [https://www.jetbrains.com/pycharm/download/ here.]


'''Pip On Windows:''' 
Download pip here: https://bootstrap.pypa.io/get-pip.py. (Right click on this link and click "Save link as". You can save it to you desktop or somewhere else if you would like)

Open a command prompt and navigate to the folder containing get-pip.py. (e.g enter 'cd Desktop' to get to the desktop)

Now run the following command in the promt 'python get-pip.py'

'''Pip On Mac:'''

Open the terminal and first run: 'curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py'

Now run this: 'python get-pip.py'


'''RDFlib''' 

Using the Pycharm terminal, install RDFlib by simply entering: pip install rdflib

Start Pycharm and create a new project with a new .py file.

To import rdflib to your .py file, write 'import rdflib' at the top of the file. 
Alternatively to import certain modules of rdflib, you can write e.g 'from rdflib import Graph, URIRef


'''Coding Tasks'''

When solving the coding tasks you can look at the readings below.
Use the Classes/interfaces and methods listed at the bottom of the page. 


'''1.''' Create a python program that creates an RDF graph containing the triples from the following sentences:

* Cade is married to Mary 
* Marys interests include hiking and chocolate
* Paris is the captial of France
* The capital of France is Paris
* Cade is 27 years old
* Cade and Mary are people


==If you have more time...==
If you have more time you can continue extending your graph with some of the stuff from lab 2:
''"Cade Tracy lives in 1516 Henry Street, Berkeley, California 94709, USA. He has a B.Sc. in biology from the University of California, Berkeley from 2011. His interests include birds, ecology, the environment, photography and travelling. He has visited Canada and France."''
Try to use as many different methods as possible to create the triples.

==Documentation and other useful reading==
If needed here is an introduction of how to create projects and python files in Pycharm [https://www.jetbrains.com/help/pycharm/creating-and-running-your-first-python-project.html Pycharm - Tutorial by jetbrains.com].

[https://rdflib.readthedocs.io/en/stable/index.html# RDFLib Documentation]- Todays focus are the following:
* [https://rdflib.readthedocs.io/en/stable/intro_to_creating_rdf.html  Intro to creating triples] 
* [https://rdflib.readthedocs.io/en/stable/intro_to_parsing.html Loading and saving RDF] 

Additional recommended in depth documentation:
* [https://rdflib.readthedocs.io/en/stable/rdf_terms.html RDF Terms]
* [https://rdflib.readthedocs.io/en/stable/namespaces_and_bindings.html Namespaces and Bindings]

[[:File:S01-KG-8.pdf | Slides from the lecture]]

==Relevant RDFlib classes/interfaces (and methods)==
import [https://rdflib.readthedocs.io/en/stable/py-modindex.html rdflib]:
*Graph (add, remove, serialize)
*URIRef
*Bnode
*Literal
*NameSpace
*RDF, FOAF

All RDFlib modules can be found [https://rdflib.readthedocs.io/en/stable/py-modindex.html here]
Browser search (often Ctrl-F) is useful here to find the module that you want.