> For the complete documentation index, see [llms.txt](https://gosford-high-school.gitbook.io/preliminary-software-engineering/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gosford-high-school.gitbook.io/preliminary-software-engineering/unit-1-programming-fundamentals/2-python/data-structures-and-file-management/data-structures/lists-vs-arrays/activities.md). # Activities {% hint style="warning" %} ## Appending an Array Check this link: {% endhint %} Create a Folder and open in VS code. Create and complete the following programs:
1 - Basic_List_Operations.py ```python # 1. Create a list named 'students' with at least 4 student names. students = ['Alice', 'Bob', 'Charlie', 'Diana'] # 2. Print the first and last student's name using indexing. # Remember that the first item has an index of 0. # 3. Add a new student to the end of the list. # Use append() to add a new name to the list. # 4. Remove the second student from the list. # Use pop()to delete an element by index. # 5. Print the updated list. ```
2 - Array_Module.py ```python import array # Import the array module # 1. Create an array named 'scores' that stores five test scores (integers). scores = array.array('i', [85, 90, 88, 92, 87]) # 2. Print the third score in the array. # Arrays use indexing just like lists. # 3. Change the second score to a new value. # Modify an element by accessing it through its index. # 4. Add a new score to the array. # Use append() to add a new element. # 5. Print the updated array. # Should show: array('i', [85, 95, 88, 92, 87, 93]) ```
3 - Nested_List_or_Matrix.py ```python # 1. Create a nested list named 'grades' where each inner list represents a student. # Each student should have grades for Math, Science, and English. grades = [ [85, 90, 88], # Student 1's grades: Math, Science, English [78, 82, 85], # Student 2's grades: Math, Science, English [92, 89, 91] # Student 3's grades: Math, Science, English ] # 2. Print the grades of the second student. # Access the second student (index 1), then print their grades. # 3. Change the Math grade of the first student. # Modify the first grade in the first student's list. # 4. Add a new student with grades. # Add a new list to the 'grades' list to represent a new student's grades. # 5. Print the updated list. ```
4 - Multidimensional_Arrays.py ```python import numpy as np # Import NumPy library # 1. Create a 2D NumPy array named 'matrix' with 3 rows and 3 columns of numbers. matrix = np.array([ [1, 2, 3], [4, 5, 6], [7, 8, 9] ]) # 2. Print the entire second row. # The second row is at index 1 (remember, indexing starts at 0). # Output will be [4, 5, 6] # 3. Change the value in the first row, second column. # The first row is at index 0, second column is at index 1. # 4. Add a new row to the matrix. # Use np.append to add a row to the existing matrix. # use this code: new_row = np.array([10, 11, 12]) # use this code: matrix = np.append(matrix, [new_row], axis=0) # 5. Print the updated matrix. ```
5 - sales_array.py Use arrays to store and manipulate the following monthly sales revenue (dollars) for a company over two years. | **Year** | **January** | **February** | **March** | **April** | **May** | **June** | **July** | **August** | **September** | **October** | **November** | **December** | | -------- | ----------- | ------------ | --------- | --------- | ------- | -------- | -------- | ---------- | ------------- | ----------- | ------------ | ------------ | | 2015 | 1000 | 1100 | 1200 | 1300 | 1400 | 1500 | 1600 | 1700 | 1800 | 1900 | 2000 | 2100 | | 2016 | 1050 | 1150 | 1250 | 1350 | 1450 | 1550 | 1650 | 1750 | 1850 | 1950 | 2050 | 2150 | ```python import numpy as np # Import NumPy library # 1. Create a 2D NumPy array to represent sales data for each year. # Each row represents a year, and each column represents a month's sales. sales_data = np.array([ [1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100], # 2015 sales data [1050, 1150, 1250, 1350, 1450, 1550, 1650, 1750, 1850, 1950, 2050, 2150], # 2016 sales data ]) # 2. Print the sales for the second year (index 1). # Output will be the sales for 2016 # 3. Change the sales for July in the first year (2015) to a new value. # Set July sales for 2015 to 1650 # 4. Add a new row for another year (2017). # Note: NumPy arrays have fixed size, so to add new rows, use np.append or recreate the array. # 5. Print the updated sales data. ``` ## NOTE: To append an array:
6 - contact_list.py Use lists to store and manipulate a contact list for a phone app. Each contact has a name, phone number, and email address. | **Name** | **Phone Number** | **Email Address** | | -------- | ---------------- | ------------------- | | Alice | 555-1234 | | | Bob | 555-5678 | | | Charlie | 555-8765 | | | Diana | 555-4321 | | ```python # 1. Create a list named 'contacts' with at least 4 contacts. # Each contact will be represented as a list with name, phone, and email. contacts = [ ['Alice', '555-1234', 'alice@email.com'], ['Bob', '555-5678', 'bob@email.com'], ['Charlie', '555-8765', 'charlie@email.com'], ['Diana', '555-4321', 'diana@email.com'] ] # 2. Print the details of the second contact. # Output will be: ['Bob', '555-5678', 'bob@email.com'] # 3. Update the phone number of the third contact. # 4. Add a new contact to the list. # 5. Print the updated contact list. ```