Update formatting

snippets/byte_size.md

@@ -7,7 +7,7 @@ lastUpdated: 2020-11-02T19:27:07+02:00
 
 Returns the length of a string in bytes.
 
-- Use `str.encode('utf-8')` to encode the given string and return its length.
+- Use `str.encode()` to encode the given string and return its length.
 
 ```py
 def byte_size(s):

snippets/daterange.md

@@ -9,7 +9,7 @@ Creates a list of dates between `start` (inclusive) and `end` (not inclusive).
 
 - Use  `datetime.timedelta.days` to get the days between `start` and `end`.
 - Use `int()` to convert the result to an integer and `range()` to iterate over each day.
-- Use a list comprehension and `datetime.timedelta()` to create a list of `datetime.date` objects.
+- Use a list comprehension and `datetime.timedelta` to create a list of `datetime.date` objects.
 
 ```py
 from datetime import timedelta, date

snippets/fahrenheit_to_celsius.md

@@ -8,11 +8,11 @@ lastUpdated: 2021-01-04T12:47:04+02:00
 
 Converts Fahrenheit to Celsius.
 
-- Follow the conversion formula `C = (F - 32) * 5/9`.
+- Follow the conversion formula `C = (F - 32) * 5 / 9`.
 
 ```py
 def fahrenheit_to_celsius(degrees):
-  return ((degrees - 32) * 5/9)
+  return ((degrees - 32) * 5 / 9)
 ```
 
 ```py

snippets/frequencies.md

@@ -7,7 +7,7 @@ lastUpdated: 2020-11-02T19:27:53+02:00
 
 Creates a dictionary with the unique values of a list as keys and their frequencies as the values.
 
-- Use `collections.defaultdict()` to store the frequencies of each unique element.
+- Use `collections.defaultdict` to store the frequencies of each unique element.
 - Use `dict()` to return a dictionary with the unique elements of the list as keys and their frequencies as the values.
 
 ```py

snippets/lcm.md

@@ -1,13 +1,13 @@
 ---
-title: lcm 
-tags: math,list,intermediate 
+title: lcm
+tags: math,list,intermediate
 firstSeen: 2018-01-08T22:30:17+02:00
 lastUpdated: 2020-11-02T19:31:15+02:00
 ---
 
 Returns the least common multiple of a list of numbers.
 
-- Use `functools.reduce()`, `math.gcd()` and `lcm(x,y) = x * y / gcd(x,y)` over the given list.
+- Use `functools.reduce()`, `math.gcd()` and `lcm(x, y) = x * y / gcd(x, y)` over the given list.
 
 ```py
 from functools import reduce

snippets/when.md

@@ -5,9 +5,9 @@ firstSeen: 2020-01-02T20:25:45+02:00
 lastUpdated: 2020-11-09T23:56:11+02:00
 ---
 
-Tests a value, `x`, against a testing function, conditionally applying a function. 
+Tests a value, `x`, against a testing function, conditionally applying a function.
 
-- Check if the value of `predicate(x)` is `True` and if so return `when_true(x)`, otherwise return `x`.
+- Check if the value of `predicate()` is `True` for `x` and if so call `when_true()`, otherwise return `x`.
 
 ```py
 def when(predicate, when_true):