From 6389f8d4765e4a6650503d0725827942cfa2c0da Mon Sep 17 00:00:00 2001
From: onur gungor <onurgu@gmail.com>
Date: Sun, 21 Jan 2018 15:18:27 +0300
Subject: [PATCH] Jupyter notebook is added.

---
 README.md      |  5 +++++
 notebook.ipynb | 34 ++++++++++++++++++++++++++++++++++
 2 files changed, 39 insertions(+)
 create mode 100644 notebook.ipynb

diff --git a/README.md b/README.md
index 7d10131..ef45e4d 100644
--- a/README.md
+++ b/README.md
@@ -25,6 +25,11 @@ Example code to save a figure:
     plot_values, counts, total_count, all_keywords = corpus_loader.corpus._word_freqs_given_a_regexp_for_each_year(r"^(milletvekil|vekil)", keyword="milletvekil",)
    
     
+## Jupyter Notebook
+
+You can use the `notebook.ipynb` file to load and query the corpus.
+
+![notebook image](notebook.png)
     
 ## Preprocessing
 
diff --git a/notebook.ipynb b/notebook.ipynb
new file mode 100644
index 0000000..bf2ad4e
--- /dev/null
+++ b/notebook.ipynb
@@ -0,0 +1,34 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import corpus_loader"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}