# Activity 29: Master Python Dictionaries Data Structure

### **Overview:**

In this activity, you will practice using **dictionaries** to store and manage multiple instances of objects like **Product, Employee, Books, University, and Restaurant**. You will create **dictionaries** for these objects and populate them with details (e.g., names, prices, job titles). This activity is designed to help you understand how to manage collections of data in a structured manner.

# **This is a follow-up to Activity : Data Structure Again**

Check this:

[**ACTIVITY (**](https://activity.hashnode.space/default-guide/system-integration-and-architecture/data-structureeeee)[**hashnode.space**](http://hashnode.space/)[**)**](https://activity.hashnode.space/default-guide/system-integration-and-architecture/data-structureeeee)

---

### **Instructions:**

1. **Create the following Python classes**:
    
    * **Product**: Store product details (e.g., product name, price).
        
    * **Employee**: Store employee details (e.g., name, job title).
        
    * **Books**: Store book details (e.g., title, author).
        
    * **University**: Store university details (e.g., name, location).
        
    * **Restaurant**: Store restaurant details (e.g., name, cuisine type).
        
2. **Use dictionaries** to store the details of each class:
    
    * Create **dictionaries** for each object (e.g., list of product names, list of prices, list of employee job titles, etc.).
        
    * Populate the lists with at least 5 entries per object.
        
3. **Access and print** the details from the lists.
    

### **Tasks:**

1. **Define dictionaries** for storing data related to the classes: **Product, Employee, Books, University, and Restaurant**.
    
2. **Populate the dictionaries** with data for each class, ensuring there are at least 5 entries.
    
3. **Access and print** the details of each object from the list.
    

**Product**: Store product details (e.g., product name, price).

```python
# List of products
products = [
  {
    "ID": 1,
    "Name": "Laptop",
    "Category": "Electronics",
    "Price": 750,
    "Stock": 50,
    "Supplier Email": "supplier1@gmail.com"
  },
  {
    "ID": 2,
    "Name": "Desk Chair",
    "Category": "Furniture",
    "Price": 100,
    "Stock": 200,
    "Supplier Email": "supplier2@gmail.com"
  },
  {
    "ID": 3,
    "Name": "Smartwatch",
    "Category": "Electronics",
    "Price": 200,
    "Stock": 150,
    "Supplier Email": "supplier3@gmail.com"
  },
  {
    "ID": 4,
    "Name": "Notebook",
    "Category": "Stationery",
    "Price": 5,
    "Stock": 500,
    "Supplier Email": "supplier4@gmail.com"
  },
  {
    "ID": 5,
    "Name": "Running Shoes",
    "Category": "Apparel",
    "Price": 80,
    "Stock": 100,
    "Supplier Email": "supplier5@gmail.com"
  }
]

# Loop through the list of products and print their details
for product in products:
    print(f"ID: {product.get('ID')}, Name: {product.get('Name')}, Category: {product.get('Category')}, Price: {product.get('Price')}, Stock: {product.get('Stock')}, Supplier Email: {product.get('Supplier Email')}")
```

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1732115819313/6619783d-b801-4e3d-b570-8ffd11e07e08.png align="center")

**Employee**: Store employee details (e.g., name, job title).

```python
# List of employees
employees = [
    {
        "ID": 1,
        "Name": "John Doe",
        "Department": "Sales",
        "Age": 30,
        "Email": "john.doe@company.com"
    },
    {
        "ID": 2,
        "Name": "Jane Smith",
        "Department": "Human Resources",
        "Age": 25,
        "Email": "jane.smith@company.com"
    },
    {
        "ID": 3,
        "Name": "Mark Johnson",
        "Department": "IT",
        "Age": 40,
        "Email": "mark.johnson@company.com"
    },
    {
        "ID": 4,
        "Name": "Lisa Wong",
        "Department": "Marketing",
        "Age": 28,
        "Email": "lisa.wong@company.com"
    },
    {
        "ID": 5,
        "Name": "Paul McDonald",
        "Department": "Finance",
        "Age": 35,
        "Email": "paul.mcdonald@company.com"
    }
]

# Loop through the list of employees and print their details
for employee in employees:
    print(f"ID: {employee.get('ID')}, Name: {employee.get('Name')}, Department: {employee.get('Department')}, Age: {employee.get('Age')}, Email: {employee.get('Email')}")
```

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1732115831270/ef76335d-fea3-4506-b546-b4b8ce9fb9d8.png align="center")

**Books**: Store book details (e.g., title, author).

```python
# List of books
books = [
    {
        "ID": 1,
        "Title": "The Great Gatsby",
        "Author": "F. Scott Fitzgerald",
        "Genre": "Fiction",
        "Published Year": 1925,
        "ISBN": "978-0743273565",
        "Stock": 20,
        "Price": 15.99
    },
    {
        "ID": 2,
        "Title": "To Kill a Mockingbird",
        "Author": "Harper Lee",
        "Genre": "Fiction",
        "Published Year": 1960,
        "ISBN": "978-0060935467",
        "Stock": 35,
        "Price": 10.99
    },
    {
        "ID": 3,
        "Title": "1984",
        "Author": "George Orwell",
        "Genre": "Dystopian",
        "Published Year": 1949,
        "ISBN": "978-0451524935",
        "Stock": 40,
        "Price": 9.99
    },
    {
        "ID": 4,
        "Title": "The Catcher in the Rye",
        "Author": "J.D. Salinger",
        "Genre": "Fiction",
        "Published Year": 1951,
        "ISBN": "978-0316769488",
        "Stock": 25,
        "Price": 8.99
    },
    {
        "ID": 5,
        "Title": "A Brief History of Time",
        "Author": "Stephen Hawking",
        "Genre": "Non-fiction",
        "Published Year": 1988,
        "ISBN": "978-0553380163",
        "Stock": 10,
        "Price": 18.99
    }
]

# Loop through the list of books and print their details
for book in books:
    print(f"ID: {book.get('ID')}, Title: {book.get('Title')}, Author: {book.get('Author')}, Genre: {book.get('Genre')}, Published Year: {book.get('Published Year')}, ISBN: {book.get('ISBN')}, Stock: {book.get('Stock')}, Price: ${book.get('Price')}")
```

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1732115849735/c9429408-4d44-4fd9-b58e-23ae651f91b2.png align="center")

**University**: Store university details (e.g., name, location).

```python
# List of universities
universities = [
    {
        "ID": 1,
        "Name": "University of the Philippines",
        "Location": "Quezon City",
        "Established Year": 1908,
        "Type": "Public",
        "Website": "www.up.edu.ph"
    },
    {
        "ID": 2,
        "Name": "Ateneo de Manila University",
        "Location": "Quezon City",
        "Established Year": 1859,
        "Type": "Private",
        "Website": "www.ateneo.edu"
    },
    {
        "ID": 3,
        "Name": "De La Salle University",
        "Location": "Manila",
        "Established Year": 1911,
        "Type": "Private",
        "Website": "www.dlsu.edu.ph"
    },
    {
        "ID": 4,
        "Name": "University of Santo Tomas",
        "Location": "Manila",
        "Established Year": 1611,
        "Type": "Private",
        "Website": "www.ust.edu.ph"
    },
    {
        "ID": 5,
        "Name": "Polytechnic University of the Philippines",
        "Location": "Manila",
        "Established Year": 1904,
        "Type": "Public",
        "Website": "www.pup.edu.ph"
    }
]

# Loop through the list of universities and print their details
for university in universities:
    print(f"ID: {university.get('ID')}, Name: {university.get('Name')}, Location: {university.get('Location')}, "
          f"Established Year: {university.get('Established Year')}, Type: {university.get('Type')}, Website: {university.get('Website')}")
```

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1732115960873/75aee53c-946b-4fe1-b570-a920e6f074f2.png align="center")

**Restaurant**: Store restaurant details (e.g., name, cuisine type).

```python
# List of restaurants
restaurants = [
    {
        "ID": 1,
        "Name": "Vikings Luxury Buffet",
        "Location": "Pasay City",
        "Cuisine Type": "Buffet",
        "Established Year": 2011,
        "Website or Contact": "www.vikings.ph"
    },
    {
        "ID": 2,
        "Name": "Antonio's Restaurant",
        "Location": "Tagaytay",
        "Cuisine Type": "Fine Dining",
        "Established Year": 2002,
        "Website or Contact": "www.antoniosrestaurant.ph"
    },
    {
        "ID": 3,
        "Name": "Mesa Filipino Moderne",
        "Location": "Makati City",
        "Cuisine Type": "Filipino",
        "Established Year": 2009,
        "Website or Contact": "www.mesa.ph"
    },
    {
        "ID": 4,
        "Name": "Manam Comfort Filipino",
        "Location": "Quezon City",
        "Cuisine Type": "Filipino",
        "Established Year": 2013,
        "Website or Contact": "www.manam.ph"
    },
    {
        "ID": 5,
        "Name": "Ramen Nagi",
        "Location": "Various Locations",
        "Cuisine Type": "Japanese",
        "Established Year": 2013,
        "Website or Contact": "www.ramennagi.com.ph"
    }
]

# Loop through the list of restaurants and print their details
for restaurant in restaurants:
    print(f"ID: {restaurant.get('ID')}, Name: {restaurant.get('Name')}, Location: {restaurant.get('Location')}, Cuisine Type: {restaurant.get('Cuisine Type')}, Established Year: {restaurant.get('Established Year')}, Website or Contact: {restaurant.get('Website or Contact')}")
```

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1732115977391/0eeb9f12-97f6-48ef-967c-e6efb66fd89a.png align="center")

In this activity, I learned how to use Python dictionaries to store and manage structured data. I understood how to represent different entities, such as students, employees, books, universities, and restaurants, using dictionaries with keys and values. I also learned how to loop through lists of dictionaries to access and print specific details. By applying these techniques, I gained experience in organizing data efficiently and accessing it with the `.get()` method for safe retrieval. This exercise helped me realize the versatility of dictionaries in managing real-world data and how they can be used in various applications.

[https://github.com/JovRoncal/MasterPythonDictionaries](https://github.com/JovRoncal/MasterPythonDictionaries)
