Travis build: 136

README.md

@@ -88,6 +88,7 @@
 * [`is_odd`](#is_odd)
 * [`lcm`](#lcm-)
 * [`max_by`](#max_by)
+* [`median`](#median)
 * [`min_by`](#min_by)
 * [`rads_to_degrees`](#rads_to_degrees)
 * [`sum_by`](#sum_by)
@@ -1456,6 +1457,33 @@ max_by([{ 'n': 4 }, { 'n': 2 }, { 'n': 8 }, { 'n': 6 }], lambda v : v['n']) # 8
 
 <br>[⬆ Back to top](#contents)
 
+### median
+
+Finds the median of a list of numbers.
+
+Sort the numbers of the list using `list.sort()` and find the median, which is either the middle element of the list if the list length is odd or the average of the two middle elements if the list length is even.
+
+```py
+def median(list):
+  list.sort()
+  list_length = len(list)
+    if list_length%2==0:
+  return (list[int(list_length/2)-1] + list[int(list_length/2)])/2
+  else:
+    return list[int(list_length/2)]
+```
+
+<details>
+<summary>Examples</summary>
+
+```py
+median([1,2,3]) # 2
+median([1,2,3,4]) # 2.5
+```
+</details>
+
+<br>[⬆ Back to top](#contents)
+
 ### min_by
 
 Returns the minimum value of a list, after mapping each element to a value using the provided function.

snippet_data/snippetList.json

@@ -774,6 +774,21 @@
         "hash": "a87775ce6bd1590c7c7b31b7dfce03b00120e4e8183c65cec8fdd3841fa369d7"
       }
     },
+    {
+      "id": "median",
+      "type": "snippetListing",
+      "title": "median",
+      "attributes": {
+        "text": "Finds the median of a list of numbers.\n\nSort the numbers of the list using `list.sort()` and find the median, which is either the middle element of the list if the list length is odd or the average of the two middle elements if the list length is even.\n\n",
+        "tags": [
+          "math",
+          "beginner"
+        ]
+      },
+      "meta": {
+        "hash": "a2f09e1423bde7161422814e3ecdb2ce77dac812df719ea60c37f55c06a06705"
+      }
+    },
     {
       "id": "min_by",
       "type": "snippetListing",

snippet_data/snippets.json

@@ -1024,6 +1024,26 @@
         "hash": "a87775ce6bd1590c7c7b31b7dfce03b00120e4e8183c65cec8fdd3841fa369d7"
       }
     },
+    {
+      "id": "median",
+      "title": "median",
+      "type": "snippet",
+      "attributes": {
+        "fileName": "median.md",
+        "text": "Finds the median of a list of numbers.\n\nSort the numbers of the list using `list.sort()` and find the median, which is either the middle element of the list if the list length is odd or the average of the two middle elements if the list length is even.\n\n",
+        "codeBlocks": {
+          "code": "def median(list):\n  list.sort()\n  list_length = len(list)\n    if list_length%2==0:\n  return (list[int(list_length/2)-1] + list[int(list_length/2)])/2\n  else:\n    return list[int(list_length/2)]",
+          "example": "median([1,2,3]) # 2\nmedian([1,2,3,4]) # 2.5"
+        },
+        "tags": [
+          "math",
+          "beginner"
+        ]
+      },
+      "meta": {
+        "hash": "a2f09e1423bde7161422814e3ecdb2ce77dac812df719ea60c37f55c06a06705"
+      }
+    },
     {
       "id": "min_by",
       "title": "min_by",