diff --git a/README.md b/README.md
index eb37991..e7fb5ed 100644
--- a/README.md
+++ b/README.md
@@ -208,6 +208,7 @@ Challenges, solutions, and unit tests are presented in the form of **IPython/Jup
| Implement breadth-first search on a tree | [Challenge](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/tree_bfs/bfs_challenge.ipynb)│[Solution](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/tree_bfs/bfs_solution.ipynb) |
| Determine the height of a tree | [Challenge](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/tree_height/height_challenge.ipynb)│[Solution](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/tree_height/height_solution.ipynb) |
| Implement a graph | [Challenge](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/graph/graph_challenge.ipynb)│[Solution](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/graph/graph_solution.ipynb) |
+| Implement depth-first search on a graph | [Challenge](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/graph_dfs/dfs_challenge.ipynb)│[Solution](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/graph_dfs/dfs_solution.ipynb) |
| Print a tree using pre-order traversal without recursion | [Contribute](https://github.com/donnemartin/interactive-coding-challenges/blob/master/CONTRIBUTING.md)│[Contribute](https://github.com/donnemartin/interactive-coding-challenges/blob/master/CONTRIBUTING.md) |
| Determine the lowest common ancestor of two nodes | [Contribute](https://github.com/donnemartin/interactive-coding-challenges/blob/master/CONTRIBUTING.md)│[Contribute](https://github.com/donnemartin/interactive-coding-challenges/blob/master/CONTRIBUTING.md) |
| Transform a binary tree into a heap | [Contribute](https://github.com/donnemartin/interactive-coding-challenges/blob/master/CONTRIBUTING.md)│[Contribute](https://github.com/donnemartin/interactive-coding-challenges/blob/master/CONTRIBUTING.md) |
diff --git a/graphs_trees/graph_dfs/__init__.py b/graphs_trees/graph_dfs/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/graphs_trees/graph_dfs/dfs_challenge.ipynb b/graphs_trees/graph_dfs/dfs_challenge.ipynb
new file mode 100644
index 0000000..a8fa189
--- /dev/null
+++ b/graphs_trees/graph_dfs/dfs_challenge.ipynb
@@ -0,0 +1,209 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Challenge Notebook"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Problem: Implement depth-first search on a graph.\n",
+ "\n",
+ "* [Constraints](#Constraints)\n",
+ "* [Test Cases](#Test-Cases)\n",
+ "* [Algorithm](#Algorithm)\n",
+ "* [Code](#Code)\n",
+ "* [Unit Test](#Unit-Test)\n",
+ "* [Solution Notebook](#Solution-Notebook)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Constraints\n",
+ "\n",
+ "* Is the graph directed?\n",
+ " * Yes\n",
+ "* Can we assume we already have Graph and Node classes?\n",
+ " * Yes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Test Cases\n",
+ "\n",
+ "Input:\n",
+ "* `add_edge(source, destination, weight)`\n",
+ "\n",
+ "```\n",
+ "graph.add_edge(0, 1, 5)\n",
+ "graph.add_edge(0, 4, 3)\n",
+ "graph.add_edge(0, 5, 2)\n",
+ "graph.add_edge(1, 3, 5)\n",
+ "graph.add_edge(1, 4, 4)\n",
+ "graph.add_edge(2, 1, 6)\n",
+ "graph.add_edge(3, 2, 7)\n",
+ "graph.add_edge(3, 4, 8)\n",
+ "```\n",
+ "\n",
+ "Result:\n",
+ "* Order of nodes visited: [0, 1, 3, 2, 4, 5]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Algorithm\n",
+ "\n",
+ "Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/graph_dfs/dfs_solution.ipynb). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Code"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "%run ../graph/graph.py\n",
+ "%load ../graph/graph.py"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "def dfs(root, visit_func):\n",
+ " # TODO: Implement me\n",
+ " pass"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Unit Test"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**The following unit test is expected to fail until you solve the challenge.**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "%run ../utils/results.py"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "# %load test_dfs.py\n",
+ "from nose.tools import assert_equal\n",
+ "\n",
+ "\n",
+ "class TestDfs(object):\n",
+ "\n",
+ " def __init__(self):\n",
+ " self.results = Results()\n",
+ "\n",
+ " def test_dfs(self):\n",
+ " nodes = []\n",
+ " graph = Graph()\n",
+ " for id in range(0, 6):\n",
+ " nodes.append(graph.add_node(id))\n",
+ " graph.add_edge(0, 1, 5)\n",
+ " graph.add_edge(0, 4, 3)\n",
+ " graph.add_edge(0, 5, 2)\n",
+ " graph.add_edge(1, 3, 5)\n",
+ " graph.add_edge(1, 4, 4)\n",
+ " graph.add_edge(2, 1, 6)\n",
+ " graph.add_edge(3, 2, 7)\n",
+ " graph.add_edge(3, 4, 8)\n",
+ " dfs(nodes[0], self.results.add_result)\n",
+ " assert_equal(str(self.results), \"[0, 1, 3, 2, 4, 5]\")\n",
+ "\n",
+ " print('Success: test_dfs')\n",
+ "\n",
+ "\n",
+ "def main():\n",
+ " test = TestDfs()\n",
+ " test.test_dfs()\n",
+ "\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " main()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Solution Notebook\n",
+ "\n",
+ "Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/graph_dfs/dfs_solution.ipynb) for a discussion on algorithms and code solutions."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 2",
+ "language": "python",
+ "name": "python2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 2
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython2",
+ "version": "2.7.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/graphs_trees/graph_dfs/dfs_solution.ipynb b/graphs_trees/graph_dfs/dfs_solution.ipynb
new file mode 100644
index 0000000..ff497d5
--- /dev/null
+++ b/graphs_trees/graph_dfs/dfs_solution.ipynb
@@ -0,0 +1,231 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Solution Notebook"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Problem: Implement depth-first search on a graph.\n",
+ "\n",
+ "* [Constraints](#Constraints)\n",
+ "* [Test Cases](#Test-Cases)\n",
+ "* [Algorithm](#Algorithm)\n",
+ "* [Code](#Code)\n",
+ "* [Unit Test](#Unit-Test)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Constraints\n",
+ "\n",
+ "* Is the graph directed?\n",
+ " * Yes\n",
+ "* Can we assume we already have Graph and Node classes?\n",
+ " * Yes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Test Cases\n",
+ "\n",
+ "Input:\n",
+ "* `add_edge(source, destination, weight)`\n",
+ "\n",
+ "```\n",
+ "graph.add_edge(0, 1, 5)\n",
+ "graph.add_edge(0, 4, 3)\n",
+ "graph.add_edge(0, 5, 2)\n",
+ "graph.add_edge(1, 3, 5)\n",
+ "graph.add_edge(1, 4, 4)\n",
+ "graph.add_edge(2, 1, 6)\n",
+ "graph.add_edge(3, 2, 7)\n",
+ "graph.add_edge(3, 4, 8)\n",
+ "```\n",
+ "\n",
+ "Result:\n",
+ "* Order of nodes visited: [0, 1, 3, 2, 4, 5]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Algorithm\n",
+ "\n",
+ "If we want to visit every node in a graph, we generally prefer depth-first search since it is simpler (no need to use a queue). For shortest path, we generally use breadth-first search.\n",
+ "\n",
+ "* Visit the current node and mark it visited\n",
+ "* Iterate through each adjacent node\n",
+ " * If the node has not been visited, call dfs on it\n",
+ "\n",
+ "Complexity:\n",
+ "* Time: O(V + E), where V = number of vertices and E = number of edges\n",
+ "* Space: O(V + E)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Code"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "%run ../graph/graph.py"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "def dfs(root, visit_func):\n",
+ " if root is None:\n",
+ " return\n",
+ " visit_func(root.id)\n",
+ " root.visited = True\n",
+ " for node in root.adjacent:\n",
+ " if not node.visited:\n",
+ " dfs(node, visit_func)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Unit Test"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "%run ../utils/results.py"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Overwriting test_dfs.py\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%writefile test_dfs.py\n",
+ "from nose.tools import assert_equal\n",
+ "\n",
+ "\n",
+ "class TestDfs(object):\n",
+ "\n",
+ " def __init__(self):\n",
+ " self.results = Results()\n",
+ "\n",
+ " def test_dfs(self):\n",
+ " nodes = []\n",
+ " graph = Graph()\n",
+ " for id in range(0, 6):\n",
+ " nodes.append(graph.add_node(id))\n",
+ " graph.add_edge(0, 1, 5)\n",
+ " graph.add_edge(0, 4, 3)\n",
+ " graph.add_edge(0, 5, 2)\n",
+ " graph.add_edge(1, 3, 5)\n",
+ " graph.add_edge(1, 4, 4)\n",
+ " graph.add_edge(2, 1, 6)\n",
+ " graph.add_edge(3, 2, 7)\n",
+ " graph.add_edge(3, 4, 8)\n",
+ " dfs(nodes[0], self.results.add_result)\n",
+ " assert_equal(str(self.results), \"[0, 1, 3, 2, 4, 5]\")\n",
+ "\n",
+ " print('Success: test_dfs')\n",
+ "\n",
+ "\n",
+ "def main():\n",
+ " test = TestDfs()\n",
+ " test.test_dfs()\n",
+ "\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " main()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Success: test_dfs\n"
+ ]
+ }
+ ],
+ "source": [
+ "%run -i test_dfs.py"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 2",
+ "language": "python",
+ "name": "python2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 2
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython2",
+ "version": "2.7.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/graphs_trees/graph_dfs/test_dfs.py b/graphs_trees/graph_dfs/test_dfs.py
new file mode 100644
index 0000000..2830387
--- /dev/null
+++ b/graphs_trees/graph_dfs/test_dfs.py
@@ -0,0 +1,34 @@
+from nose.tools import assert_equal
+
+
+class TestDfs(object):
+
+ def __init__(self):
+ self.results = Results()
+
+ def test_dfs(self):
+ nodes = []
+ graph = Graph()
+ for id in range(0, 6):
+ nodes.append(graph.add_node(id))
+ graph.add_edge(0, 1, 5)
+ graph.add_edge(0, 4, 3)
+ graph.add_edge(0, 5, 2)
+ graph.add_edge(1, 3, 5)
+ graph.add_edge(1, 4, 4)
+ graph.add_edge(2, 1, 6)
+ graph.add_edge(3, 2, 7)
+ graph.add_edge(3, 4, 8)
+ dfs(nodes[0], self.results.add_result)
+ assert_equal(str(self.results), "[0, 1, 3, 2, 4, 5]")
+
+ print('Success: test_dfs')
+
+
+def main():
+ test = TestDfs()
+ test.test_dfs()
+
+
+if __name__ == '__main__':
+ main()
\ No newline at end of file