Update remaining snippets

snippets/palindrome.md

@@ -1,17 +1,21 @@
 ---
 title: palindrome
-tags: string
+tags: string,intermediate
 ---
+
 Returns `True` if the given string is a palindrome, `False` otherwise.
 
-Convert string `str.lower()` and use `re.sub` to remove non-alphanumeric characters from it. Then compare the new string to the reversed.
+Use `str.lower()` and `re.sub()` to convert to lowercase and  remove non-alphanumeric characters from the given string. 
+Then, compare the new string with its reverse.
 
 ```py
+from re import sub
+
 def palindrome(string):
-    from re import sub
-    s = sub('[\W_]', '', string.lower())
-    return s == s[::-1]
+  s = sub('[\W_]', '', string.lower())
+  return s == s[::-1]
 ```
+
 ```py
 palindrome('taco cat') # True
 ```

snippets/shuffle.md

@@ -1,8 +1,7 @@
 ---
 title: shuffle
-tags: list
+tags: list,random,intermediate
 ---
-:information_source: The same algorithm is already implemented via `random.shuffle`.
 
 Randomizes the order of the values of an list, returning a new list.
 
@@ -12,15 +11,14 @@ Uses the [Fisher-Yates algorithm](https://en.wikipedia.org/wiki/Fisher%E2%80%93Y
 from copy import deepcopy
 from random import randint
 
-
 def shuffle(lst):
-    temp_lst = deepcopy(lst)
-    m = len(temp_lst)
-    while (m):
-        m -= 1
-        i = randint(0, m)
-        temp_lst[m], temp_lst[i] = temp_lst[i], temp_lst[m]
-    return temp_lst
+  temp_lst = deepcopy(lst)
+  m = len(temp_lst)
+  while (m):
+    m -= 1
+    i = randint(0, m)
+    temp_lst[m], temp_lst[i] = temp_lst[i], temp_lst[m]
+  return temp_lst
 ```
 
 ```py

snippets/spread.md

@@ -1,21 +1,23 @@
 ---
 title: spread
-tags: list
+tags: list,utility,intermediate
 ---
-Implements javascript's `[].concat(...arr)`. Flattens the list(non-deep) and returns an list.
+
+Flattens a list, by spreading its elements into a new list.
+
+Loop over elements, use `list.extend()` if the element is a list, `list.append()` otherwise.
 
 ```py
 def spread(arg):
-    ret = []
-    for i in arg:
-        if isinstance(i, list):
-            ret.extend(i)
-        else:
-            ret.append(i)
-    return ret
+  ret = []
+  for i in arg:
+    if isinstance(i, list):
+      ret.extend(i)
+    else:
+      ret.append(i)
+  return ret
 ```
 
-
 ```py
 spread([1,2,3,[4,5,6],[7],8,9]) # [1,2,3,4,5,6,7,8,9]
 ```

snippets/unique_elements.md

@@ -1,14 +1,15 @@
 ---
 title: unique_elements
-tags: list
+tags: list,beginner
 ---
+
 Returns the unique elements in a given list.
 
-The given `list` is first converted to a `set` using the `set()` function. By definition, a `set` cannot have duplicate elements. So, the duplicate elements are automatically removed. Before returning, we convert it back to a `list`
+Create a `set` from the list to discard duplicated values, then return a `list` from it.
 
 ```py
 def unique_elements(li):
-    return list(set(li))
+  return list(set(li))
 ```
 
 ```py

snippets/values_only.md

@@ -1,24 +1,23 @@
 ---
 title: values_only
-tags: object
+tags: object,list,beginner
 ---
-Function which accepts a dictionary of key value pairs and returns a new flat list of only the values.
 
-Uses the .items() function with a for loop on the dictionary to track both the key and value of the iteration and returns a new list by appending the values to it. Best used on 1 level-deep key:value pair dictionaries and not nested data-structures.
+Returns a flat list of all the values in a flat dictionary.
+
+Use `dict.values()` to return the values in the given dictionary.
+Return a `list()` of the previous result.
 
 ```py
 def values_only(dict):
-    lst = []
-    for k, v in dict.items():
-        lst.append(v)
-    return lst
+  return list(flat_dict.values())
 ```
 
 ```py
 ages = {
-     "Peter": 10,
-     "Isabel": 11,
-     "Anna": 9,
+  "Peter": 10,
+  "Isabel": 11,
+  "Anna": 9,
 }
 values_only(ages) # [10, 11, 9]
 ```

snippets/zip.md

@@ -1,22 +1,24 @@
 ---
 title: zip
-tags: list
+tags: list,math,intermediate
 ---
-:information_source: Already implemented via `itertools.zip_longest()`
 
 Creates a list of elements, grouped based on the position in the original lists.
 
-Use `max` combined with `list comprehension` to get the length of the longest list in the arguments. Loops for `max_length` times grouping elements. If lengths of `lists` vary `fill_value` is used. By default `fill_value` is `None`.
+
+Use `max` combined with `list comprehension` to get the length of the longest list in the arguments. 
+Loop for `max_length` times grouping elements. 
+If lengths of `lists` vary, use `fill_value` (defaults to `None`). 
 
 ```py
 def zip(*args, fillvalue=None):
-    max_length = max([len(lst) for lst in args])
-    result = []
-    for i in range(max_length):
-        result.append([
-            args[k][i] if i < len(args[k]) else fillvalue for k in range(len(args))
-        ])
-    return result
+  max_length = max([len(lst) for lst in args])
+  result = []
+  for i in range(max_length):
+    result.append([
+      args[k][i] if i < len(args[k]) else fillvalue for k in range(len(args))
+    ])
+  return result
 ```
 
 ```py