Fix typos (#191)

CONTRIBUTING.md

@@ -51,7 +51,7 @@ Refer to [Accessing the Challenges](https://github.com/donnemartin/interactive-c
 ### Adding New Solutions to Existing Challenges
 
 Challenges have multiple solutions.  If adding new solutions to existing challenges:
-* Add your algorithm discusion and code solution to the existing notebook
+* Add your algorithm discussion and code solution to the existing notebook
 * Update the unit test to include your solution
 * Verify your code passes the unit tests
 

README.md

@@ -443,7 +443,7 @@ interactive-coding-challenges        # Repo
 ├─ ...
 ```
 
-<i>\*The notebooks (.pynb) read/write the associated unit test (.py) file.</i>
+<i>\*The notebooks (.ipynb) read/write the associated unit test (.py) file.</i>
 
 
 ## Notebook Installation

arrays_strings/hash_map/hash_map_challenge.ipynb

@@ -54,7 +54,7 @@
     "\n",
     "* `get` no matching key -> KeyError exception\n",
     "* `get` matching key -> value\n",
-    "* `set` no matchin gkey -> new key, value\n",
+    "* `set` no matching key -> new key, value\n",
     "* `set` matching key -> update value\n",
     "* `remove` no matching key -> KeyError exception\n",
     "* `remove` matching key -> remove key, value"

arrays_strings/hash_map/hash_map_solution.ipynb

@@ -53,7 +53,7 @@
     "\n",
     "* `get` no matching key -> KeyError exception\n",
     "* `get` matching key -> value\n",
-    "* `set` no matchin gkey -> new key, value\n",
+    "* `set` no matching key -> new key, value\n",
     "* `set` matching key -> update value\n",
     "* `remove` no matching key -> KeyError exception\n",
     "* `remove` matching key -> remove key, value"

arrays_strings/unique_chars/unique_chars_solution.ipynb

@@ -164,7 +164,7 @@
     "* Scan each character\n",
     "* For each character:\n",
     "    * Scan all [other] characters in the array\n",
-    "        * Exluding the current character from the scan is rather tricky in Python and results in a non-Pythonic solution\n",
+    "        * Excluding the current character from the scan is rather tricky in Python and results in a non-Pythonic solution\n",
     "        * If there is a match, return False\n",
     "* Return True\n",
     "\n",

graphs_trees/bst_validate/bst_validate_solution.ipynb

@@ -74,7 +74,7 @@
    "source": [
     "## Algorithm\n",
     "\n",
-    "We'll use a recursive solution that valides left <= current < right, passing down the min and max values as we do a depth-first traversal.\n",
+    "We'll use a recursive solution that validates left <= current < right, passing down the min and max values as we do a depth-first traversal.\n",
     "\n",
     "* If the node is None, return True\n",
     "* If min is set and the node's value <= min, return False\n",
@@ -123,12 +123,12 @@
     "            raise TypeError('No root node')\n",
     "        return self._validate(self.root)\n",
     "\n",
-    "    def _validate(self, node, mininum=-sys.maxsize, maximum=sys.maxsize):\n",
+    "    def _validate(self, node, minimum=-sys.maxsize, maximum=sys.maxsize):\n",
     "        if node is None:\n",
     "            return True\n",
-    "        if node.data <= mininum or node.data > maximum:\n",
+    "        if node.data <= minimum or node.data > maximum:\n",
     "            return False\n",
-    "        if not self._validate(node.left, mininum, node.data):\n",
+    "        if not self._validate(node.left, minimum, node.data):\n",
     "            return False\n",
     "        if not self._validate(node.right, node.data, maximum):\n",
     "            return False\n",

graphs_trees/graph/graph_solution.ipynb

@@ -93,17 +93,17 @@
     "* incoming edge count (useful for algorithms such as topological sort)\n",
     "* adjacent nodes and edge weights\n",
     "\n",
-    "#### add_neighhbor\n",
+    "#### add_neighbor\n",
     "\n",
     "* If the neighbor doesn't already exist as an adjacent node\n",
-    "    * Update the adjancet nodes and edge weights\n",
+    "    * Update the adjacent nodes and edge weights\n",
     "    * Increment the neighbor's incoming edge count\n",
     "\n",
     "Complexity:\n",
     "* Time: O(1)\n",
     "* Space: O(1)\n",
     "\n",
-    "#### remove_neighhbor\n",
+    "#### remove_neighbor\n",
     "\n",
     "* If the neighbor exists as an adjacent node\n",
     "    * Decrement the neighbor's incoming edge count\n",

graphs_trees/graph_shortest_path/graph_shortest_path_challenge.ipynb

@@ -67,7 +67,7 @@
    "source": [
     "## Test Cases\n",
     "\n",
-    "The constaints state we don't have to check for negative edges, so we test with the general case.\n",
+    "The constraints state we don't have to check for negative edges, so we test with the general case.\n",
     "\n",
     "<pre>\n",
     "graph.add_edge('a', 'b', weight=5)\n",

graphs_trees/graph_shortest_path/graph_shortest_path_solution.ipynb

@@ -66,7 +66,7 @@
    "source": [
     "## Test Cases\n",
     "\n",
-    "The constaints state we don't have to check for negative edges, so we test with the general case.\n",
+    "The constraints state we don't have to check for negative edges, so we test with the general case.\n",
     "\n",
     "<pre>\n",
     "graph.add_edge('a', 'b', weight=5)\n",

math_probability/math_ops/math_ops_solution.ipynb

@@ -112,7 +112,7 @@
     "        self.mean = None\n",
     "        # Mode\n",
     "        self.array = [0] * (upper_limit + 1)\n",
-    "        self.mode_ocurrences = 0\n",
+    "        self.mode_occurrences = 0\n",
     "        self.mode = None\n",
     "\n",
     "    def insert(self, val):\n",
@@ -128,8 +128,8 @@
     "        self.mean = self.running_sum / self.num_items\n",
     "        # Calculate the mode\n",
     "        self.array[val] += 1\n",
-    "        if self.array[val] > self.mode_ocurrences:\n",
-    "            self.mode_ocurrences = self.array[val]\n",
+    "        if self.array[val] > self.mode_occurrences:\n",
+    "            self.mode_occurrences = self.array[val]\n",
     "            self.mode = val"
    ]
   },

math_probability/sub_two/sub_two_solution.ipynb

@@ -79,7 +79,7 @@
     "\n",
     "borrow = (~a&b) << 1 = 0010\n",
     "\n",
-    "If the borrow is not zero, we'll need to subtract the borrow from the result.  Recusively call the function, passing in result and borrow.\n",
+    "If the borrow is not zero, we'll need to subtract the borrow from the result.  Recursively call the function, passing in result and borrow.\n",
     "\n",
     "Complexity:\n",
     "* Time: O(b), where b is the number of bits\n",

math_probability/sum_two/sum_two_solution.ipynb

@@ -74,7 +74,7 @@
     "\n",
     "carry = (a&b) << 1 = 1010\n",
     "\n",
-    "If the carry is not zero, we'll need to add the carry to the result.  Recusively call the function, passing in result and carry.\n",
+    "If the carry is not zero, we'll need to add the carry to the result.  Recursively call the function, passing in result and carry.\n",
     "\n",
     "Below are the values of a, b, and the carry of a = 7 and b = 5, producing the result of 12.\n",
     "\n",

online_judges/maximizing_xor/maximizing_xor_challenge.ipynb

@@ -100,7 +100,7 @@
     "from nose.tools import assert_equal\n",
     "\n",
     "\n",
-    "class TestMaximingXor(object):\n",
+    "class TestMaximizingXor(object):\n",
     "\n",
     "    def test_maximizing_xor(self):\n",
     "        solution = Solution()\n",
@@ -109,7 +109,7 @@
     "\n",
     "\n",
     "def main():\n",
-    "    test = TestMaximingXor()\n",
+    "    test = TestMaximizingXor()\n",
     "    test.test_maximizing_xor()\n",
     "\n",
     "\n",

online_judges/maximizing_xor/maximizing_xor_solution.ipynb

@@ -122,7 +122,7 @@
     "from nose.tools import assert_equal\n",
     "\n",
     "\n",
-    "class TestMaximingXor(object):\n",
+    "class TestMaximizingXor(object):\n",
     "\n",
     "    def test_maximizing_xor(self):\n",
     "        solution = Solution()\n",
@@ -131,7 +131,7 @@
     "\n",
     "\n",
     "def main():\n",
-    "    test = TestMaximingXor()\n",
+    "    test = TestMaximizingXor()\n",
     "    test.test_maximizing_xor()\n",
     "\n",
     "\n",

online_judges/maximizing_xor/test_maximizing_xor.py

@@ -1,7 +1,7 @@
 from nose.tools import assert_equal
 
 
-class TestMaximingXor(object):
+class TestMaximizingXor(object):
 
     def test_maximizing_xor(self):
         solution = Solution()
@@ -10,7 +10,7 @@ class TestMaximingXor(object):
 
 
 def main():
-    test = TestMaximingXor()
+    test = TestMaximizingXor()
     test.test_maximizing_xor()
 
 

online_judges/prod_three/prod_three_challenge.ipynb

@@ -38,7 +38,7 @@
     "    * Yes\n",
     "* Can we get negative inputs?\n",
     "    * Yes\n",
-    "* Can there be duplicate entires in the input?\n",
+    "* Can there be duplicate entries in the input?\n",
     "    * Yes\n",
     "* Will there always be at least three integers?\n",
     "    * No\n",

online_judges/prod_three/prod_three_solution.ipynb

@@ -37,7 +37,7 @@
     "    * Yes\n",
     "* Can we get negative inputs?\n",
     "    * Yes\n",
-    "* Can there be duplicate entires in the input?\n",
+    "* Can there be duplicate entries in the input?\n",
     "    * Yes\n",
     "* Will there always be at least three integers?\n",
     "    * No\n",

online_judges/sub_two/sub_two_solution.ipynb

@@ -83,7 +83,7 @@
     "\n",
     "borrow = (~a&b) << 1 = 0010\n",
     "\n",
-    "If the borrow is not zero, we'll need to subtract the borrow from the result.  Recusively call the function, passing in result and borrow.\n",
+    "If the borrow is not zero, we'll need to subtract the borrow from the result.  Recursively call the function, passing in result and borrow.\n",
     "\n",
     "Complexity:\n",
     "* Time: O(b), where b is the number of bits\n",

online_judges/sum_two/sum_two_solution.ipynb

@@ -78,7 +78,7 @@
     "\n",
     "carry = (a&b) << 1 = 1010\n",
     "\n",
-    "If the carry is not zero, we'll need to add the carry to the result.  Recusively call the function, passing in result and carry.\n",
+    "If the carry is not zero, we'll need to add the carry to the result.  Recursively call the function, passing in result and carry.\n",
     "\n",
     "Below are the values of a, b, and the carry of a = 7 and b = 5, producing the result of 12.\n",
     "\n",

recursion_dynamic/permutations/permutations_solution.ipynb

@@ -77,7 +77,7 @@
     "    * Else, recurse\n",
     "    * Backtrack by:\n",
     "        * Removing the just added current char from the current results\n",
-    "        * Incrementing the current char's acount in the dictionary\n",
+    "        * Incrementing the current char's count in the dictionary\n",
     "\n",
     "Complexity:\n",
     "* Time: O(n!)\n",

recursion_dynamic/power_set/power_set_solution.ipynb

@@ -82,7 +82,7 @@
     "        * This avoids duplicate results such as 'ab' and 'bc'\n",
     "    * Backtrack by:\n",
     "        * Removing the just added current char from the current results\n",
-    "        * Incrementing the current char's acount in the dictionary\n",
+    "        * Incrementing the current char's count in the dictionary\n",
     "\n",
     "Complexity:\n",
     "* Time: O(2^n)\n",

sorting_searching/insertion_sort/insertion_sort_solution.ipynb

@@ -72,7 +72,7 @@
     "        * Break\n",
     "\n",
     "Complexity:\n",
-    "* Time: O(n^2) avarage, worst.  O(1) best if input is already sorted\n",
+    "* Time: O(n^2) average, worst.  O(1) best if input is already sorted\n",
     "* Space: O(1) for the iterative solution\n",
     "\n",
     "Misc: \n",

sorting_searching/merge_sort/merge_sort_solution.ipynb

@@ -69,7 +69,7 @@
     "* Merge split arrays\n",
     "    * Using two pointers, one for each half starting at index 0\n",
     "        * Add the smaller element to the result array\n",
-    "        * Inrement pointer where smaller element exists\n",
+    "        * Increment pointer where smaller element exists\n",
     "    * Copy remaining elements to the result array\n",
     "    * Return result array\n",
     "\n",

sorting_searching/selection_sort/selection_sort_challenge.ipynb

@@ -34,7 +34,7 @@
    "source": [
     "## Constraints\n",
     "\n",
-    "* Is a naiive solution sufficient (ie not stable, not based on a heap)?\n",
+    "* Is a naive solution sufficient (ie not stable, not based on a heap)?\n",
     "    * Yes\n",
     "* Are duplicates allowed?\n",
     "    * Yes\n",

sorting_searching/selection_sort/selection_sort_solution.ipynb

@@ -33,7 +33,7 @@
    "source": [
     "## Constraints\n",
     "\n",
-    "* Is a naiive solution sufficient (ie not stable, not based on a heap)?\n",
+    "* Is a naive solution sufficient (ie not stable, not based on a heap)?\n",
     "    * Yes\n",
     "* Are duplicates allowed?\n",
     "    * Yes\n",

stacks_queues/stack_min/stack_min_challenge.ipynb

@@ -55,7 +55,7 @@
     "* Push/pop on empty stack\n",
     "* Push/pop on non-empty stack\n",
     "* Min on empty stack\n",
-    "* Min on non-tempty stack"
+    "* Min on non-empty stack"
    ]
   },
   {

stacks_queues/stack_min/stack_min_solution.ipynb

@@ -54,7 +54,7 @@
     "* Push/pop on empty stack\n",
     "* Push/pop on non-empty stack\n",
     "* Min on empty stack\n",
-    "* Min on non-tempty stack"
+    "* Min on non-empty stack"
    ]
   },
   {

staging/arrays_strings/reverse_words/reverse_words_challenge.ipynb

@@ -26,7 +26,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* [Constraits](#Constraint)\n",
+    "* [Constraints](#Constraints)\n",
     "* [Test Cases](#Test-Cases)\n",
     "* [Algorithm](#Algorithm)\n",
     "* [Code](#Code)\n",

staging/arrays_strings/reverse_words/reverse_words_solution.ipynb

@@ -19,7 +19,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* [Constraits](#Constraint)\n",
+    "* [Constraints](#Constraints)\n",
     "* [Test Cases](#Test-Cases)\n",
     "* [Algorithm](#Algorithm)\n",
     "* [Code](#Code)\n",

staging/graphs_trees/binary_tree/binary_search_tree.py

@@ -75,25 +75,25 @@ class BinaryTree (object):
 				parent.rightChild = current.rightChild
 
 		else:
-			succesor = current.rightChild
-			succesorParent = current
+			successor = current.rightChild
+			successorParent = current
 
-			while succesor.leftChild is not None:
-				succesorParent = succesor
-				succesor = succesor.leftChild
+			while successor.leftChild is not None:
+				successorParent = successor
+				successor = successor.leftChild
 
 			if current is self.root:
-				self.root = succesor
+				self.root = successor
 			elif isLeft:
-				parent.leftChild = succesor
+				parent.leftChild = successor
 			else:
-				parent.rightChild = succesor
+				parent.rightChild = successor
 
-			succesor.leftChild = current.leftChild
+			successor.leftChild = current.leftChild
 
-			if succesor is not current.rightChild:
-				succesorParent.leftChild = succesor.rightChild
-				succesor.rightChild = current.rightChild
+			if successor is not current.rightChild:
+				successorParent.leftChild = successor.rightChild
+				successor.rightChild = current.rightChild
 
 		return True 
 

staging/graphs_trees/binary_tree/binary_tree_challenge.ipynb

@@ -63,12 +63,12 @@
     "* Here are some basic [instructions](http://www.algolist.net/Data_structures/Binary_search_tree/Removal)\n",
     "* If the value to delete isn't on the tree return False\n",
     "\n",
-    "### Traverals \n",
+    "### Traversals \n",
     "\n",
-    "* In order traversal -left, center, right\n",
+    "* In order traversal - left, center, right\n",
     "* Pre order traversal - center, left, right\n",
     "* Post order traversal - left, right, center\n",
-    "* Return list for all traverals \n",
+    "* Return list for all traversals \n",
     "\n",
     "### Max & Min\n",
     "* Find the max node in the binary search tree\n",

staging/graphs_trees/binary_tree/binary_tree_solution.ipynb

@@ -64,12 +64,12 @@
     "* If the value to delete isn't on the tree return False\n",
     "\n",
     "\n",
-    "### Traverals \n",
+    "### Traversals \n",
     "\n",
-    "* In order traversal -left, center, right\n",
+    "* In order traversal - left, center, right\n",
     "* Pre order traversal - center, left, right\n",
     "* Post order traversal - left, right, center\n",
-    "* Return list for all traverals \n",
+    "* Return list for all traversals \n",
     "\n",
     "### Max & Min\n",
     "* Find the max node in the binary search tree\n",
@@ -152,7 +152,7 @@
     "    * If node is left child\n",
     "      * Find the biggest value in all the node's children and replace it with it\n",
     "    * If node is right child\n",
-    "      * Find the smalles value in all the node's children and replace it with it\n",
+    "      * Find the smallest value in all the node's children and replace it with it\n",
     "\n",
     "\n",
     "* Time complexity: O(log(n))\n",
@@ -261,25 +261,25 @@
     "\t\t\t\tparent.rightChild = current.rightChild\n",
     "\n",
     "\t\telse:\n",
-    "\t\t\tsuccesor = current.rightChild\n",
-    "\t\t\tsuccesorParent = current\n",
+    "\t\t\tsuccessor = current.rightChild\n",
+    "\t\t\tsuccessorParent = current\n",
     "\n",
-    "\t\t\twhile succesor.leftChild is not None:\n",
-    "\t\t\t\tsuccesorParent = succesor\n",
-    "\t\t\t\tsuccesor = succesor.leftChild\n",
+    "\t\t\twhile successor.leftChild is not None:\n",
+    "\t\t\t\tsuccessorParent = successor\n",
+    "\t\t\t\tsuccessor = successor.leftChild\n",
     "\n",
     "\t\t\tif current is self.root:\n",
-    "\t\t\t\tself.root = succesor\n",
+    "\t\t\t\tself.root = successor\n",
     "\t\t\telif isLeft:\n",
-    "\t\t\t\tparent.leftChild = succesor\n",
+    "\t\t\t\tparent.leftChild = successor\n",
     "\t\t\telse:\n",
-    "\t\t\t\tparent.rightChild = succesor\n",
+    "\t\t\t\tparent.rightChild = successor\n",
     "\n",
-    "\t\t\tsuccesor.leftChild = current.leftChild\n",
+    "\t\t\tsuccessor.leftChild = current.leftChild\n",
     "\n",
-    "\t\t\tif succesor is not current.rightChild:\n",
-    "\t\t\t\tsuccesorParent.leftChild = succesor.rightChild\n",
-    "\t\t\t\tsuccesor.rightChild = current.rightChild\n",
+    "\t\t\tif successor is not current.rightChild:\n",
+    "\t\t\t\tsuccessorParent.leftChild = successor.rightChild\n",
+    "\t\t\t\tsuccessor.rightChild = current.rightChild\n",
     "\n",
     "\t\treturn True \n",
     "\n",

staging/sorting_searching/group_ordered/group_ordered_solution.ipynb

@@ -59,7 +59,7 @@
    "source": [
     "## Algorithm: Modified Selection Sort\n",
     "\n",
-    "* Save the relative position of the first-occurence of each item in a list.\n",
+    "* Save the relative position of the first-occurrence of each item in a list.\n",
     "* Iterate through list of unique items.\n",
     "    * Keep an outer index; scan rest of list, swapping matching items with outer index and incrementing outer index each time. \n",
     "    \n",