diff --git a/guide/english/python/lambda-expressions/index.md b/guide/english/python/lambda-expressions/index.md
index a951777700..7059bfdf8b 100644
--- a/guide/english/python/lambda-expressions/index.md
+++ b/guide/english/python/lambda-expressions/index.md
@@ -5,7 +5,7 @@ title: Lambda Expressions
 
 Lambda Expressions are used when an operation only has to be performed once, meaning that there is no need for defining a function as it will not be used again. Lambda expressions also known as anonymous functions, as they are not named (defined). 
 
-Lambda functions can contain only one expression, so they are not best suited for functions with control-flow statements.
+Lambda functions can contain only one expression, so they are not well suited for functions with control-flow statements.
 
 #### Syntax of Lambda Function
 `lambda arguments: expression`
@@ -21,11 +21,11 @@ print(square(3)) # Output: 9
 # Traditional function to calculate square of a number
 def square1(num):
   return num ** 2
-print(square(5)) # Output: 25
+print(square1(5)) # Output: 25
 
 ```
 In the above lambda example `lambda x: x ** 2` yields an anonymous function object which can be associated with any name.
-So, we associated the function object with `square` and hence from now on we can call the `square` object like any traditional function. e.g. `square(10)`
+So, we associated the function object with `square` and hence from now on we can call the object with `square` like any traditional function. e.g. `square(10)`
 
 ## Examples
 
@@ -57,7 +57,7 @@ print(res) # Output: 8
 
 ### Use-case
 
-Let's say you want to filter out odd numbers from a `list`. You could use a `for` loop:
+Say you want to filter out odd numbers from a `list`. You could use a `for` loop:
 
 ```python
 my_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
@@ -77,7 +77,7 @@ You could write this as a one-liner with list-comprehensions
 filtered = [x for x in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] if x % 2 != 0]
  ```
 
-But you might be tempted to use the built-in `filter` function. Why? The first example is a bit to verbose, the one-liner can be harder to understand, where as `filter` offers the best of both words. What is more, the built-in functions are usually faster.
+However, another option is to use the built-in `filter` function. Why? The first example is a bit to verbose, while the one-liner can be harder to understand. `filter` offers the best of both words, and the built-in functions are usually faster.
 
 ```python
 my_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
@@ -87,10 +87,10 @@ filtered = filter(lambda x: x % 2 != 0, my_list)
 list(filtered)
 # [1, 3, 5, 7, 9]
  ```
-NOTE: in Python 3 built in function return generator objects, so you have to call `list`, while in Python 2 they return a `list`, `tuple`or `string`.
+NOTE: In Python 3 built in functions return generator objects, so you have to call `list`, while in Python 2 they return a `list`, `tuple`or `string`.
 
 What happened? You told `filter` to take each element in `my_list` and apply the lambda expressions. The values that return `False` are filtered out. 
 
 #### More Information:
 - [Official Doc](https://docs.python.org/3/reference/expressions.html#lambda)
-- [Further Read](https://dbader.org/blog/python-lambda-functions)
+- [Further Reading](https://dbader.org/blog/python-lambda-functions)