3.5 Lists and Arrays

• Arrays in Python can store mixed data types.

  False
• Arrays in Python have a fixed size once they are created.


  True
• What is the key difference between lists and arrays regarding their size?

  Dynamic vs. fixed
• Steps to create and use a list in Python

  1️⃣ Create a list using square brackets

  2️⃣ Add elements to the list

  3️⃣ Access elements by their index

  4️⃣ Modify list elements as needed
• Lists in Python are immutable, meaning their elements cannot be changed.

  False
• Lists in Python are mutable, allowing elements to be changed during runtime.


  True
• Lists require more memory due to dynamic resizing.


  True
• Arrays in Python can grow in size during runtime.

  False
• Arrays in Python use less memory
• Lists in Python can grow using the append
• Lists in Python use more memory due to resizing.


  True
• Lists in Python support mixed data types within the same list.

  True
• Arrays in Python have a fixed size, unlike lists.


  True
• Match the `type_code` with its corresponding data type:

  'i' ↔️ Integer

  'f' ↔️ Float

  'c' ↔️ Character
• Arrange the steps for creating an array of integers in Python.

  1️⃣ Import the array module

  2️⃣ Create the array with the 'i' type_code

  3️⃣ Populate the array with integer elements
• Lists in Python use more memory due to dynamic resizing
• Arrays in Python use less memory than lists because they do not require dynamic resizing
• What is a key difference between lists and arrays in terms of memory usage?

  Lists use more memory
• Arrange the following features of lists and arrays based on flexibility from least to most flexible:

  1️⃣ Arrays have fixed size

  2️⃣ Arrays store homogeneous data

  3️⃣ Lists have dynamic size

  4️⃣ Lists store mixed data
• What does the `list.append(element)` operation do in Python?

  Adds an element to the end
• Arrays in Python require the `array` module
• Arrays in Python have a fixed size, unlike lists.


  True
• Arrays in Python are more flexible than lists in terms of size and type.

  False
• Arrays use more memory than lists due to dynamic resizing.

  False
• Adding elements to lists can be done by appending or inserting at a specific index
• Match the operation with its corresponding method or syntax:

  Access ↔️ $my_{l}ist[index]$

  Assign ↔️ $my_{l}ist[index] =$$new_{v}alue$

  Iterate ↔️ $for num \in my_{l}ist:$
• What type of loop is used to iterate through an array in Python?

  $for$
• How do you remove the first occurrence of a value from a list?

  $my_{l}ist.remove(value)$
• Why does dynamic resizing lead to higher memory usage in lists?

  Old data is copied
• What is the primary purpose of lists and arrays in programming?

  Store multiple values
• Why do arrays use less memory than lists?

  Fixed size
• What type of data do arrays typically store?

  Uniform data
• Lists can store data of different types within the same structure.


  True
• What is the syntax for creating a list in Python?

  [element1, element2, ..., elementN]
• What is the syntax for creating a list in Python?

  [element1, element2, ..., elementN]
• Why do arrays use less memory than lists in Python?

  Fixed size
• What is the primary advantage of using arrays over lists in terms of operations?

  Faster access
• What method is used to access an element in an array by its index?

  my_array[index]
• Arrange the operations of lists and arrays in Python based on their strengths.

  1️⃣ Lists are flexible for adding/removing elements

  2️⃣ Arrays provide faster access to elements
• Arrays in Python are fixed in size and cannot grow.


  True