adds postcourse resources

Author: ChasNelson1990

postcourse/resources.md

@@ -1,11 +1,63 @@
+---
+header-includes:
+  - \hypersetup{colorlinks=true,
+            urlcolor=blue,
+            linkcolor=blue,
+            filecolor=blue,
+            citecolor=blue}
+---
+
 # Post-Course Resources
 
+## Python and Jupyter
+
+Comprehensive list of tutorials for learning Python:
+
+* <https://wiki.python.org/moin/BeginnersGuide/Programmers>
+
+Making interactive Jupyter Notebooks with sliders and buttons: hello
+
+* <https://blog.dominodatalab.com/interactive-dashboards-in-jupyter/>
+* Docs: <https://ipywidgets.readthedocs.io/en/stable/>
+
+Making online interactive scientific applications with Python:
+
+* <http://hplgit.github.io/web4sciapps/doc/pub/>
+
+Using Jupyter Notebooks as slides:
+
+* <https://github.com/damianavila/RISE>
+
+Python tools for computational molecular biology:
+
+* <https://biopython.org/>
+
+An example of calling ImageJ functionality within a Jupyter Notebook:
+
+* <https://nbviewer.jupyter.org/github/imagej/tutorials/blob/master/notebooks/1-Using-ImageJ/6-ImageJ-with-Python-Kernel.ipynb>
+
+### Machine learning with Python
+
+PCA clustering of Iris dataset using scikit:
+
+* <https://towardsdatascience.com/pca-using-python-scikit-learn-e653f8989e60>
+
+PCA clustering of Iris dataset using plotly:
+
+* <https://plot.ly/ipython-notebooks/principal-component-analysis/>
+
+k-means clustering with display on 3D plots using scikit:
+
+* <https://scikit-learn.org/stable/auto_examples/cluster/plot_cluster_iris.html>
+
 ## Unix
 
 Comprehensive tutorial of linux/MacOS command line interface:
-* http://www.ee.surrey.ac.uk/Teaching/Unix/index.html
 
-## Programming 
+* <http://www.ee.surrey.ac.uk/Teaching/Unix/index.html>
+
+## Programming
 
 A vast repository of programming exercises with solutions and active discussion on each exercise:
-* https://www.hackerrank.com/domains/python
+
+* <https://www.hackerrank.com/domains/python>