fix minor typos

website/content/02-introduction-to-python/110-control-statements-looping/05-looping-in-python.md

@@ -98,7 +98,7 @@ If you can't remember how to use range, don't forget to call `help(range)` from
 
 #### Looping over items with the index using `enumerate`.
 
-In Python, we avoid writing code like like the JavaScript `for` loop at the top, but sometimes it's unavoidable, and we need a way to access the index of the items we're looping through. To do that we use a special function called `enumerate()`. The function takes a sequence, like a `list`, and it *returns* a `list` of tuples, containing the index of the item in the sequence, and the sequence itself.
+In Python, we avoid writing code like the JavaScript `for` loop at the top, but sometimes it's unavoidable, and we need a way to access the index of the items we're looping through. To do that we use a special function called `enumerate()`. The function takes a sequence, like a `list`, and it *returns* a `list` of tuples, containing the index of the item in the sequence, and the sequence itself.
 
 Don't worry about the list of tuples for now, but remember our tuple unpacking from earlier?
 
@@ -113,7 +113,7 @@ Don't worry about the list of tuples for now, but remember our tuple unpacking f
 11
 ```
 
-Because `enumerate()` returns a structure that looks like a list of `tuple`s under the hood, we can take advantage of tuple unpacking in the the `for` loop.
+Because `enumerate()` returns a structure that looks like a list of `tuple`s under the hood, we can take advantage of tuple unpacking in the `for` loop.
 
 ```python
 >>> for index, item in enumerate(colors):

website/content/02-introduction-to-python/175-running-code/20-print-tips.md

@@ -80,7 +80,7 @@ Value of returned num is: 900
 ```
 
 {{% notice tip %}}
-Tip: As you continue your Python journey, try using a debugger like the built-in `pdb` instead of the `print()` function to really dive into what your code is doing under the hood.
+Tip: As you continue your Python journey, try using a debugger, like the built-in `pdb` instead of the `print()` function to really dive into what your code is doing under the hood.
 {{% /notice %}}
 
 

website/content/02-introduction-to-python/175-running-code/70-exercise.md

@@ -65,7 +65,7 @@ if __name__ == "__main__":
     main()
 ```
 
-A few new things here: first, remember that `enumerate()` outputs a tuple of (index, entry), so we use `index` and `entry` variables to capture those. Then, for ever item in the list, we print the index (+ 1, because zero-indexed lists are sometimes hard to read), and we pull the name and population out of each entry dictionary using the dictionary `[]` syntax.
+A few new things here: first, remember that `enumerate()` outputs a tuple of (index, entry), so we use `index` and `entry` variables to capture those. Then, for every item in the list, we print the index (+ 1, because zero-indexed lists are sometimes hard to read), and we pull the name and population out of each entry dictionary using the dictionary `[]` syntax.
 
 {{%expand "Here's what you should have seen on your command line:" %}}
 

website/content/02-introduction-to-python/190-APIs/00-what-is-an-API.md

@@ -5,7 +5,7 @@ draft: false
 weight: 1
 ---
 
-Per the dictionary, and API is:
+Per the dictionary, an API is:
 
 > a set of functions and procedures allowing the creation of applications that access the features or data of an operating system, application, or other service.
 

website/content/03-intermediate-python/20-advanced-looping/10-list-comprehensions.md

@@ -5,7 +5,7 @@ draft: false
 weight: 1
 ---
 
-List comprehensions are a unique way to create lists in Python. A list comprehension consists of brackets containing and expression followed by a `for` clause, then zero or more `for` or `if` clauses. The expressions can be any kind of Python object. List comprehensions will commonly take the form of `[<value> for <vars> in <iter>]`.
+List comprehensions are a unique way to create lists in Python. A list comprehension consists of brackets containing an expression followed by a `for` clause, then zero or more `for` or `if` clauses. The expressions can be any kind of Python object. List comprehensions will commonly take the form of `[<value> for <vars> in <iter>]`.
 
 A simple case: Say we want to turn a list of strings into a list of string *lengths.* We could do this with a `for` loop: