Now, let's move to the next topic of Data Science Roadmap:

✅ Python Dictionaries 📚

Dictionaries are one of the most important data structures in Python, especially in data science and real-world datasets. They store data in key–value pairs.

🔹 1. What is a Dictionary?
A dictionary stores data in key:value format.

✅ Example:

student = { "name": "Rahul", "age": 22, "course": "Data Science" }
print(student)

Output: {'name': 'Rahul', 'age': 22, 'course': 'Data Science'}

✔ Uses curly brackets {}

🔹 2. Access Dictionary Values

Use the key to access values.

student = { "name": "Rahul", "age": 22 }
print(student["name"])

Output: Rahul

🔹 3. Add New Elements

student = { "name": "Rahul", "age": 22 }
student["city"] = "Delhi"
print(student)

Output: {'name': 'Rahul', 'age': 22, 'city': 'Delhi'}

🔹 4. Modify Values

student["age"] = 23

🔹 5. Remove Elements

student.pop("age")

🔹 6. Important Dictionary Methods
⭐

✅ Get Method:

print(student.get("name"))

Output: Rahul

✅ Keys Method:

print(student.keys())

Output: dict_keys(['name', 'age'])

✅ Values Method:

print(student.values())

Output: dict_values(['Rahul', 22])

✅ Items Method:

print(student.items())

Output: dict_items([('name', 'Rahul'), ('age', 22)])

🔹 7. Loop Through Dictionary

student = { "name": "Rahul", "age": 22 }

for key, value in student.items():
    print(key, value)

Output:
name Rahul
age 22

🎯 Today’s Goal
✔ Understand key–value pairs
✔ Access dictionary values
✔ Add or update data
✔ Loop through dictionary

👉 Dictionaries are widely used in APIs, JSON data, and machine learning datasets.

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