diff --git a/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/.ipynb_checkpoints/Untitled-checkpoint.ipynb
new file mode 100644
index 0000000..286dcb3
--- /dev/null
+++ b/.ipynb_checkpoints/Untitled-checkpoint.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/Untitled.ipynb b/Untitled.ipynb
new file mode 100644
index 0000000..eb2c037
--- /dev/null
+++ b/Untitled.ipynb
@@ -0,0 +1,56 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Project', \"Gutenberg's\", 'The', 'Hound', 'of', 'the', 'Baskervilles,', 'by', 'A.', 'Conan', 'Doyle', 'This', 'eBook', 'is', 'for', 'the', 'use', 'of', 'anyone', 'anywhere', 'at', 'no', 'cost', 'and', 'with', 'almost', 'no', 'restrictions', 'whatsoever.', 'You', 'may', 'copy', 'it,', 'give', 'it', 'away', 'or', 're-use', 'it', 'under', 'the', 'terms', 'of', 'the', 'Project', 'Gutenberg', 'License', 'included', 'with', 'this', 'eBook', 'or', 'online', 'at', 'www.gutenberg.org', 'Title:', 'The', 'Hound', 'of', 'the', 'Baskervilles', 'Author:', 'A.', 'Conan', 'Doyle', 'Posting', 'Date:', 'December', '8,', '2008', '[EBook', '#2852]', 'Release', 'Date:', 'October,', '2001', 'Language:', 'English']\n"
+     ]
+    }
+   ],
+   "source": [
+    "def word_frequency(text):\n",
+    "    with open(text) as sample:\n",
+    "        return sample.read()\n",
+    "print(word_frequency('text.txt').split())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.4.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/__pycache__/word_frequency.cpython-34.pyc b/__pycache__/word_frequency.cpython-34.pyc
new file mode 100644
index 0000000..f11cffb
Binary files /dev/null and b/__pycache__/word_frequency.cpython-34.pyc differ
diff --git a/word_frequency.py b/word_frequency.py
new file mode 100644
index 0000000..59ab826
--- /dev/null
+++ b/word_frequency.py
@@ -0,0 +1,21 @@
+import re
+
+
+with open('sample.txt') as sample:
+    new_text = sample.read()
+
+def word_frequency(new_text):
+    edict = {}
+    regex_text = re.sub(r'[^A-Za-z\s]', "", new_text).lower().split()
+    for word in regex_text:
+        if word in edict:
+            edict[word] += 1
+        else:
+            edict[word] = 1
+    return edict
+
+print(word_frequency(new_text))
+
+def max_dict(a_dict):
+    t_list = sorted(list(edict.items()), key=lambda x: x[1], reverse=True)
+    return a[:20]