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docs/no_toc/01-intro-to-computing.md

@@ -319,7 +319,7 @@ And there is an operational equivalent:
 We will mostly look at functions with input arguments and return types in this course, but not all functions need to have input arguments and output return. Let's look at some examples of functions that don't always have an input or output:
 
 | Function call                                                             | What it takes in         | What it does                                                  | Returns |
-|----------------|----------------|-------------------------|----------------|
+|---------------------------------------------------------------------------|--------------------------|---------------------------------------------------------------|---------|
 | [`pow(a, b)`](https://docs.python.org/3/library/functions.html#pow)       | integer `a`, integer `b` | Raises `a` to the `b`th power.                                | Integer |
 | [`time.sleep(x)`](https://docs.python.org/3/library/time.html#time.sleep) | Integer `x`              | Waits for `x` seconds.                                        | None    |
 | [`dir()`](https://docs.python.org/3/library/functions.html#dir)           | Nothing                  | Gives a list of all the variables defined in the environment. | List    |

docs/no_toc/02-data-structures.md

@@ -107,7 +107,7 @@ The list data structure we have been working with is an example of an **Object**
 
 -   **Attributes** that hold subset or additional data for the object.
 
--   Functions called **Methods** that automatically takes the object as input.
+-   Functions called **Methods** that are for the object and *have to* take in the variable referenced as an input
 
 This organizing structure on an object applies to pretty much all Python data types and data structures.
 

docs/no_toc/About.md

@@ -51,7 +51,7 @@ These credits are based on our [course contributors table guidelines](https://ww
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docs/no_toc/about-the-authors.html

@@ -386,7 +386,7 @@ <h1>About the Authors<a href="about-the-authors.html#about-the-authors" class="a
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docs/no_toc/intro-to-computing.html

@@ -445,10 +445,10 @@ <h3><span class="header-section-number">1.7.1</span> Execution rule for function
 <p>We will mostly look at functions with input arguments and return types in this course, but not all functions need to have input arguments and output return. Let’s look at some examples of functions that don’t always have an input or output:</p>
 <table>
 <colgroup>
-<col width="21%" />
-<col width="21%" />
-<col width="34%" />
-<col width="21%" />
+<col width="43%" />
+<col width="15%" />
+<col width="36%" />
+<col width="5%" />
 </colgroup>
 <thead>
 <tr class="header">

docs/no_toc/working-with-data-structures.html

@@ -300,7 +300,7 @@ <h2><span class="header-section-number">2.2</span> Objects in Python<a href="wor
 <ul>
 <li><p><strong>Value</strong> that holds the essential data for the object.</p></li>
 <li><p><strong>Attributes</strong> that hold subset or additional data for the object.</p></li>
-<li><p>Functions called <strong>Methods</strong> that automatically takes the object as input.</p></li>
+<li><p>Functions called <strong>Methods</strong> that are for the object and <em>have to</em> take in the variable referenced as an input</p></li>
 </ul>
 <p>This organizing structure on an object applies to pretty much all Python data types and data structures.</p>
 <p>Let’s see how this applies to the list:</p>