diff --git a/binary_search_tree/binary_search_tree.py b/binary_search_tree/binary_search_tree.py
index d80d9f6282..7bd9144c15 100644
--- a/binary_search_tree/binary_search_tree.py
+++ b/binary_search_tree/binary_search_tree.py
@@ -1,3 +1,7 @@
+from collections import deque
+from queue import Queue
+from stack import Stack
+
 """
 Binary search trees are a data structure that enforce an ordering over 
 the data they store. That ordering in turn makes it a lot more efficient 
@@ -9,6 +13,8 @@
 2. Implement the `in_order_print`, `bft_print`, and `dft_print` methods
    on the BSTNode class.
 """
+
+
 class BSTNode:
     def __init__(self, value):
         self.value = value
@@ -17,37 +23,157 @@ def __init__(self, value):
 
     # Insert the given value into the tree
     def insert(self, value):
-        pass
+        # left case?
+        # check if the value is less than the root value?
+        if value < self.value:
+            # move to the left and check if it is none?
+            if self.left == None:
+                # insert node here
+                new_node = BSTNode(value)
+                self.left = new_node
+            # otherwise
+            else:
+                # call insert on the root's left node
+                self.left.insert(value)
+        # right case?
+        if value >= self.value:
+            # otherwise
+            # move to the right and check if it is none?
+            if self.right == None:
+                # insert the node here
+                new_node = BSTNode(value)
+                self.right = new_node
+            # otherwise
+            else:
+                # call insert on the root's right node
+                self.right.insert(value)
 
     # Return True if the tree contains the value
     # False if it does not
+
     def contains(self, target):
-        pass
+        # check if the node is == target
+        if self.value == target:
+            # if true return true
+            return True
+        # otherwise check if target is < node value
+        elif target < self.value:
+            # if left is None, target doesn't exist in tree, return false
+            if self.left == None:
+                return False
+            # if left value is = target return true
+            elif self.left.value == target:
+                return True
+            # otherwise move down left, call contains on left node
+            else:
+                self.left.contains(target)
+        # otherwise check if target is >= node value
+        elif target > self.value:
+            # if right is None, target doesn't exist in tree, return false
+            if self.right == None:
+                return False
+            # if right value is = target return true
+            elif self.right.value == target:
+                return True
+            # otherwise move down right, call contains on right node
+            else:
+                self.right.contains(target)
 
     # Return the maximum value found in the tree
+
     def get_max(self):
-        pass
+        if self.right == None:
+            return self.value
+        else:
+            max_value = self.right.get_max()
+        return max_value
 
     # Call the function `fn` on the value of each node
     def for_each(self, fn):
-        pass
+        # run the function passing in the value of the node
+        fn(self.value)
+
+        # if left is not none run for each on left
+        if self.left:
+            # call function on left
+            self.left.for_each(fn)
+
+        # if right is not None run for each on right
+        if self.right:
+            # call function on right
+            self.right.for_each(fn)
 
     # Part 2 -----------------------
 
     # Print all the values in order from low to high
     # Hint:  Use a recursive, depth first traversal
     def in_order_print(self):
-        pass
+        # base case
+        # if there are no more nodes
+        if self == None:
+            # return
+            return self
+
+        # if there is a node to the left
+        if self.left is not None:
+            # call in order print on the left
+            self.left.in_order_print()
+        # print the value of the current node (self.value)
+        print(self.value)
+
+        # if there is a node to the right
+        if self.right is not None:
+            # call order print on the right
+            self.right.in_order_print()
 
     # Print the value of every node, starting with the given node,
     # in an iterative breadth first traversal
-    def bft_print(self):
-        pass
+
+    def bft_print(self):  # use a queue
+        # create a queue
+        values = Queue()
+        # eneque the first node(self)
+        values.enqueue(self)
+
+        # while there is data on queue
+        while values.size > 0:
+            # dequeue from queue on to current_node
+            self = values.dequeue()
+            # print the current_node's value
+            print(self.value)
+            # if the current_node has a left child
+            if self.left:
+                # enqueue the left child
+                values.enqueue(self.left)
+            # if the current_node has a right child
+            if self.right:
+                # enqueue right child
+                values.enqueue(self.right)
+            # this increases our values.size
+            # continuing the loop until done
 
     # Print the value of every node, starting with the given node,
     # in an iterative depth first traversal
-    def dft_print(self):
-        pass
+
+    def dft_print(self):  # use a stack
+        # instantiate stack
+        values = Stack()
+        # push starting node
+        values.push(self)
+        # while stack is NOT empty:
+        while values.size > 0:
+            # pop the node
+            # print node.value
+            self = values.pop()
+            print(self.value)
+            # if node.left:
+            # push left node
+            if self.left:
+                values.push(self.left)
+            # if node.right:
+                # push right node
+            if self.right:
+                values.push(self.right)
 
     # Stretch Goals -------------------------
     # Note: Research may be required
@@ -60,6 +186,7 @@ def pre_order_dft(self):
     def post_order_dft(self):
         pass
 
+
 """
 This code is necessary for testing the `print` methods
 """
@@ -77,9 +204,9 @@ def post_order_dft(self):
 bst.dft_print()
 
 print("elegant methods")
-print("pre order")
-bst.pre_order_dft()
+# print("pre order")
+# bst.pre_order_dft()
 print("in order")
-bst.in_order_dft()
-print("post order")
-bst.post_order_dft()  
+bst.in_order_print()
+# print("post order")
+# bst.post_order_dft()
diff --git a/binary_search_tree/queue.py b/binary_search_tree/queue.py
new file mode 100644
index 0000000000..d342b43662
--- /dev/null
+++ b/binary_search_tree/queue.py
@@ -0,0 +1,36 @@
+"""
+A queue is a data structure whose primary purpose is to store and
+return elements in First In First Out order. 
+
+1. Implement the Queue class using an array as the underlying storage structure.
+   Make sure the Queue tests pass.
+2. Re-implement the Queue class, this time using the linked list implementation
+   as the underlying storage structure.
+   Make sure the Queue tests pass.
+3. What is the difference between using an array vs. a linked list when 
+   implementing a Queue?
+   
+Stretch: What if you could only use instances of your Stack class to implement the Queue?
+         What would that look like? How many Stacks would you need? Try it!
+"""
+
+
+class Queue:
+    def __init__(self):
+        self.size = 0
+        # self.storage = []
+        self.storage = []  # instead of LinkedList()
+
+    def __len__(self):
+        return self.size
+
+    def enqueue(self, value):
+        self.size += 1
+        return self.storage.append(value)  # intead of add_to_tail
+
+    def dequeue(self):
+        if self.size == 0:
+            return None
+        self.size -= 1
+        # return self.storage.pop(0)
+        return self.storage.pop(0)  # intead of remove_tail
diff --git a/binary_search_tree/stack.py b/binary_search_tree/stack.py
new file mode 100644
index 0000000000..4e9930db92
--- /dev/null
+++ b/binary_search_tree/stack.py
@@ -0,0 +1,31 @@
+"""
+A stack is a data structure whose primary purpose is to store and
+return elements in Last In First Out order. 
+
+1. Implement the Stack class using an array as the underlying storage structure.
+   Make sure the Stack tests pass.
+2. Re-implement the Stack class, this time using the linked list implementation
+   as the underlying storage structure.
+   Make sure the Stack tests pass.
+3. What is the difference between using an array vs. a linked list when 
+   implementing a Stack?
+"""
+
+
+class Stack:
+    def __init__(self):
+        self.size = 0
+        self.storage = []
+
+    def __len__(self):
+        return self.size
+
+    def push(self, value):
+        self.size += 1
+        self.storage.append(value)
+
+    def pop(self):
+        if self.size == 0:
+            return None
+        self.size -= 1
+        return self.storage.pop()
diff --git a/binary_search_tree/test_binary_search_tree.py b/binary_search_tree/test_binary_search_tree.py
index 0a0cee5911..6ebaab2bad 100644
--- a/binary_search_tree/test_binary_search_tree.py
+++ b/binary_search_tree/test_binary_search_tree.py
@@ -4,6 +4,7 @@
 import io
 from binary_search_tree import BSTNode
 
+
 class BinarySearchTreeTests(unittest.TestCase):
     def setUp(self):
         self.bst = BSTNode(5)
@@ -15,7 +16,7 @@ def test_insert(self):
         self.bst.insert(6)
         self.assertEqual(self.bst.left.right.value, 3)
         self.assertEqual(self.bst.right.left.value, 6)
-        
+
     def test_handle_dupe_insert(self):
         self.bst2 = BSTNode(1)
         self.bst2.insert(1)
@@ -38,7 +39,7 @@ def test_get_max(self):
 
     def test_for_each(self):
         arr = []
-        cb = lambda x: arr.append(x)
+        def cb(x): return arr.append(x)
 
         v1 = random.randint(1, 101)
         v2 = random.randint(1, 101)
@@ -94,17 +95,18 @@ def test_print_traversals(self):
         self.assertTrue(output == "1\n8\n5\n7\n6\n3\n4\n2\n" or
                         output == "1\n8\n5\n3\n2\n4\n7\n6\n")
 
-        sys.stdout = io.StringIO()
-        self.bst.pre_order_dft()
-        output = sys.stdout.getvalue()
-        self.assertEqual(output, "1\n8\n5\n3\n2\n4\n7\n6\n")
+        # sys.stdout = io.StringIO()
+        # self.bst.pre_order_dft()
+        # output = sys.stdout.getvalue()
+        # self.assertEqual(output, "1\n8\n5\n3\n2\n4\n7\n6\n")
 
-        sys.stdout = io.StringIO()
-        self.bst.post_order_dft()
-        output = sys.stdout.getvalue()
-        self.assertEqual(output, "2\n4\n3\n6\n7\n5\n8\n1\n")
+        # sys.stdout = io.StringIO()
+        # self.bst.post_order_dft()
+        # output = sys.stdout.getvalue()
+        # self.assertEqual(output, "2\n4\n3\n6\n7\n5\n8\n1\n")
 
         sys.stdout = stdout_  # Restore stdout
 
+
 if __name__ == '__main__':
     unittest.main()
diff --git a/doubly_linked_list/doubly_linked_list.py b/doubly_linked_list/doubly_linked_list.py
index 6f91b43a9b..1a9ed97170 100644
--- a/doubly_linked_list/doubly_linked_list.py
+++ b/doubly_linked_list/doubly_linked_list.py
@@ -1,3 +1,4 @@
+
 """
 Each ListNode holds a reference to its previous node
 as well as its next node in the List.
@@ -27,7 +28,15 @@ def __len__(self):
     the old head node's previous pointer accordingly.
     """
     def add_to_head(self, value):
-        pass
+        if self.length == 0:
+            newnode = ListNode(value)
+            self.head = newnode
+            self.tail = newnode
+        else:
+            newnode = ListNode(value, None, self.head)
+            self.head.prev = newnode
+            self.head = self.head.prev
+        self.length += 1
         
     """
     Removes the List's current head node, making the
@@ -35,7 +44,19 @@ def add_to_head(self, value):
     Returns the value of the removed Node.
     """
     def remove_from_head(self):
-        pass
+        if self.length == 1:
+            temp = self.head.value
+            self.head = None
+            self.tail = None
+            self.length = 0
+            return temp
+        elif self.length == 0:
+            pass
+        else:
+            self.length -= 1
+            self.head.next.prev = None
+            self.head = self.head.next
+            return self.head
             
     """
     Wraps the given value in a ListNode and inserts it 
@@ -43,7 +64,15 @@ def remove_from_head(self):
     the old tail node's next pointer accordingly.
     """
     def add_to_tail(self, value):
-        pass
+        if self.length == 0:
+            newnode = ListNode(value)
+            self.head = newnode
+            self.tail = newnode
+        else:
+            newnode = ListNode(value, self.tail, None)
+            self.tail.next = newnode
+            self.tail = self.tail.next
+        self.length += 1
             
     """
     Removes the List's current tail node, making the 
@@ -51,32 +80,82 @@ def add_to_tail(self, value):
     Returns the value of the removed Node.
     """
     def remove_from_tail(self):
-        pass
+        if self.length == 1:
+            temp = self.tail.value
+            self.head = None
+            self.tail = None
+            self.length = 0
+            return temp
+        elif self.length == 0:
+            pass
+        else:
+            self.length -= 1
+            self.tail.prev.next = None
+            self.tail = self.tail.prev
+            return self.tail
             
     """
     Removes the input node from its current spot in the 
     List and inserts it as the new head node of the List.
     """
     def move_to_front(self, node):
-        pass
+        temp = self.head
+        while temp is not None:
+            if node.value == temp.value:
+                break
+            temp = temp.next
+        self.delete(temp)
+        self.add_to_head(temp.value)
         
     """
     Removes the input node from its current spot in the 
     List and inserts it as the new tail node of the List.
     """
     def move_to_end(self, node):
-        pass
+        temp = self.head
+        while temp is not None:
+            if node.value == temp.value:
+                break
+            temp = temp.next
+        self.delete(temp)
+        self.add_to_tail(temp.value)
 
     """
     Deletes the input node from the List, preserving the 
     order of the other elements of the List.
     """
     def delete(self, node):
-        pass
-
+        if self.head == self.tail:
+            self.head = None
+            self.tail = None
+        else:
+            temp = self.head
+            while temp is not None:
+                if node.value == temp.value:
+                    break
+                temp = temp.next
+            if node.value == self.head.value:
+                if self.length == 2:
+                    self.head = self.tail
+                else:
+                    self.head = node.next
+            if node.value == self.tail.value:
+                self.tail = node.prev
+            if temp.next is not None:
+                temp.next.prev = node.prev
+            if temp.prev is not None:
+                temp.prev.next = node.next
+        self.length -= 1
+        
     """
     Finds and returns the maximum value of all the nodes 
     in the List.
     """
     def get_max(self):
-        pass
\ No newline at end of file
+        max_val = self.head.value
+        temp = self.head
+        while temp is not None:
+            if temp.value > max_val:
+                max_val = temp.value
+            temp = temp.next
+        return max_val
\ No newline at end of file
diff --git a/queue/queue.py b/queue/queue.py
index 0d2599ded7..99312d0a9a 100644
--- a/queue/queue.py
+++ b/queue/queue.py
@@ -13,16 +13,117 @@
 Stretch: What if you could only use instances of your Stack class to implement the Queue?
          What would that look like? How many Stacks would you need? Try it!
 """
+class Node:
+    def __init__(self, value, next_node=None):
+        # the value that the node is holding 
+        self.value = value 
+        # reference to the next node in the linked list
+        self.next_node = next_node
+
+    # method to get the value of the node 
+    def get_value(self):
+        return self.value
+
+    # method to get the node's `next_node`
+    def get_next(self):
+        return self.next_node
+
+    # method to update the node's `next_node` to the input node 
+    def set_next(self, new_next):
+        self.next_node = new_next
+
+class LinkedList:
+    def __init__(self):
+        self.head = None
+        self.tail = None
+
+    def add_to_tail(self, value):
+        # wrap the value in a Node
+        new_node = Node(value)
+        # check if the Linked List is empty 
+        if self.head is None and self.tail is None:
+            # set head and tail to the new node 
+            self.head = new_node
+            self.tail = new_node
+        # otherwise, the list has at least one node 
+        else:
+            # update the last node's `next_node` to the new node 
+            self.tail.set_next(new_node)
+            # update `self.tail` to point the new node we just added 
+            self.tail = new_node
+
+    def remove_tail(self):
+        # check if the linked list is empty 
+        if self.head is None and self.tail is None:
+            return None
+
+        # check if the linked list has only one node 
+        if self.head == self.tail:
+            # store the node we're going to remove's value 
+            val = self.head.get_value()
+            self.head = None
+            self.tail = None
+            return val
+
+        # otherwise, the linked list has more than one Node 
+        else:
+            # store the last Node's value in a nother variable so we can return it 
+            val = self.tail.get_value()
+            # we need to set `self.tail` to the second-to-last Node
+            # the only way we can do this, is by traversing the whole linked list
+            # from the beginning 
+            
+            # starting from the head, we'll traverse down to the second-to-last Node 
+            # init another reference to keep track of where we are in the linked 
+            # list as we're iterating 
+            current = self.head
+
+            # keep iterating until the node after `current` is the tail
+            while current.get_next() != self.tail:
+                # keep iterating 
+                current = current.get_next()
+
+            # set `self.tail` to `current`
+            self.tail = current
+            # set the new tail's `next_node` to None
+            self.tail.set_next(None) 
+            return val
+
+    def remove_head(self):
+        # check if the linked list empty 
+        if self.head is None and self.tail is None:
+            return None
+        # check if there is only one linked list node 
+        if self.head == self.tail:
+            val = self.head.get_value()
+            self.head = None
+            self.tail = None
+            return val
+        else:
+            # store the old head's value that we need to return 
+            val = self.head.get_value()
+            # set `self.head` to the old head's `next_node`
+            self.head = self.head.get_next()
+            # return the old_head's value 
+            return val
+
 class Queue:
     def __init__(self):
         self.size = 0
-        # self.storage = ?
+        # self.storage = []
+        self.storage = LinkedList()
     
     def __len__(self):
-        pass
+        return self.size
 
     def enqueue(self, value):
-        pass
+        self.size += 1
+        # return self.storage.append(value)
+        return self.storage.add_to_tail(value)
 
     def dequeue(self):
-        pass
+        if self.size == 0:
+            return None
+        self.size -= 1
+        # return self.storage.pop(0)
+        return self.storage.remove_head()
\ No newline at end of file
diff --git a/singly_linked_list/singly_linked_list.py b/singly_linked_list/singly_linked_list.py
index e69de29bb2..ea31f48cc4 100644
--- a/singly_linked_list/singly_linked_list.py
+++ b/singly_linked_list/singly_linked_list.py
@@ -0,0 +1,115 @@
+class Node: 
+    def __init__(self, value, next_node=None):
+        # the value that the node is holding
+        self.value = value
+        # reference to the next node in the linked list
+        self.next_node = next_node
+
+        
+    def get_value(self):
+        """
+        Method to get the value of a node
+        """
+        return self.value
+
+    def get_next(self):
+        """
+        Method to get the node's "next_node"
+        """
+        return self.next_node
+
+    def set_next(self, new_next):
+        """
+        Method to update the node's "next_node" to the new_next
+        """
+        self.next_node = new_next
+
+
+class LinkedList: 
+    def __init__(self):
+        self.head = None
+        self.tail = None
+
+    def add_to_tail(self, value):
+        #wrap the value in a new Node
+        new_node = Node(value)
+        #check if the linked list is empty
+        if self.head is None and self.tail is None:
+            #set the head and tail to the new node
+            self.head = new_node
+            self.tail = new_node
+
+            #otherwise the list must have at least one item in there
+        else:
+            #update the last node's "next_node" to the new node
+            self.tail.set_next(new_node)#(last node in the chain).next_node = new_node
+            #update the self.tail to the point to the new node that we just added
+            self.tail = new_node
+
+    def remove_tail(self):
+        #remove the last node in the chain and return its value
+        #check for empty list
+        if self.head is None and self.tail is None:
+            #return none
+            return None 
+
+        #check if there is only one node
+        if self.head == self.tail:
+            #store the value of the node that we are going to remove
+            value = self.head.get_value()
+            #remove the node
+            #set the head and the tail to None
+            self.head = None
+            self.tail = None
+            # return the stored value
+            return value
+
+            #otherwise the link list has more than one node
+        else: 
+            #store the value of the node that we are going to remove
+            value = self.tail.get_value()
+            # we need to set the "self.tail" to the second to last node 
+            # we can only do this by traversing the whole list from beginning to end
+
+            #starting from the head, we'll traverse down to the second to last node
+            #init another reference to keep track of where we are in the linked
+            #list as we're iterating.
+            current_node = self.head
+            
+            # keep iterating until the node after "current_node" is the tail
+            while current_node.get_next() != self.tail:
+                #keep looping
+                current_node = current_node.get_next()
+
+            #at the end of the iteration set "self.tail" to the current_node
+            self.tail = current_node
+            #set the new tail's "next_node" to None
+            self.tail.set_next(None)
+            #return the value
+            return value
+
+    def remove_head(self):
+        #check for empty list
+        if self.head is None and self.tail is None:
+            #return none
+            return None
+        #check if there is only one linked list node
+        if self.head == self.tail:
+            val = self.head.get_value()
+            self.head = None
+            self.tail = None
+            return val
+        else: 
+            #store the old head's value that we need to return
+            val = self.head.get_value()
+            # set `self.head` to the old head's `next_node`
+            self.head = self.head.get_next()
+            # return the old_head's value
+            return val
+
+
+
+
+
+
+
diff --git a/stack/stack.py b/stack/stack.py
index 6e6d660ac7..db1e62bbf3 100644
--- a/stack/stack.py
+++ b/stack/stack.py
@@ -13,13 +13,16 @@
 class Stack:
     def __init__(self):
         self.size = 0
-        # self.storage = ?
+        self.storage = []
 
     def __len__(self):
-        pass
+        return self.size
 
     def push(self, value):
-        pass
+        self.size += 1
 
     def pop(self):
-        pass
+        if self.size == 0 
+            return None
+        self.size -= 1
+        return self.storage.pop()