extend documentation

docs/changelog.rst

@@ -1,6 +1,11 @@
+=========
+Changelog
+=========
+
 0.1
------
+---
 Features in first version:
+
 * Uncertainty-aware Principle Component Analysis
 * Uncertainty-aware Multi-dimensional Scaling
 * Basic visualizations:

docs/examples.rst

@@ -1 +1,5 @@
+========
+Examples
+========
+
 Examples go here

docs/index.rst

@@ -4,16 +4,13 @@ UADAPy - Uncertainty-aware Data Analysis in Python
 UADAPy is a Python library to support an easy analysis of uncertain data. Here you find the most important information to get started.
 
 .. toctree::
-   :maxdepth: 2
+   :maxdepth: 1
 
-   Changelog :doc:`changelog.rst`
-   Installation :doc:`installation.rst`
-   Examples :doc:`examples.rst`
+   changelog.rst
+   installation.rst
+   examples.rst
 
 Indices and tables
 ==================
-.. toctree::
-   :maxdepth: 2
-
-   * :ref:`genindex`
-   * :ref:`modindex`
+* :ref:`genindex`
+* :ref:`modindex`

docs/installation.rst

@@ -2,8 +2,10 @@ Installation
 ============
 Installation via pip
 --------------------
+
 You can install the library by typing:
-.. code-block:: bash
+
+.. code-block:: console
 
     pip install git+https://github.com/UniStuttgart-VISUS/uadapy
 

examples/dimensionalityReduction.ipynb

@@ -0,0 +1,48 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "is_executing": true
+   },
+   "outputs": [],
+   "source": [
+    "import uadapy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   },
+   "id": "11bfe50ff5bc1eb0"
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}