Notebook entry

module2/exo4/exercice.ipynb

 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Useful links\n",
+    "\n",
+    "## For markdown:\n",
+    "- Page with good overview is [here in this MOOC](https://lms.fun-mooc.fr/courses/course-v1:inria+41016+self-paced/courseware/2bfe60a86fed4994b5493a220c38eb69/13f6fd96266746a0bd9d717a12f1f835/4?activate_block_id=block-v1%3Ainria%2B41016%2Bself-paced%2Btype%40vertical%2Bblock%4089c7893cb5aa4644b06569c65945d4d9)\n",
+    "\n",
+    "## For Python\n",
+    "- numpy documentation (used for statistics exercise) is [here on numpy.org](https://numpy.org/doc/stable/reference/generated/numpy.mean.html)\n",
+    "- matplotlib.pyplot is great for plotting and matplotlib has a great [documentation](https://matplotlib.org/) as well\n",
+    "    - a useful general tutorial [here](https://matplotlib.org/stable/tutorials/introductory/pyplot.html)\n",
+    "    - some information for [grid lines on this page](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.grid.html)\n",
+    "    - for histogram plots [take this](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.hist.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +41,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-