Today, let's start with the first topic of Data Science Roadmap:

🚀 Python Fundamentals (Variables Data Types)

🐍 This is the foundation of data science.

🔹 1. What is Python?

Python is a simple and powerful programming language used for:
✅ Data analysis
✅ Machine learning
✅ AI
✅ Automation
✅ Web development

👉 Data scientists use Python because it’s easy and has powerful libraries.

🔹 2. Variables in Python

Variables store data values.

✅ Syntax
name = "Ajay"
age = 25
salary = 50000

👉 No need to declare data type separately.

✅ Rules:
✔ Cannot start with numbers → ❌ 1name
✔ Case-sensitive → age ≠ Age
✔ Use meaningful names

🔹 3. Basic Data Types (Very Important)
✅ 1. Integer (int) — Whole numbers
x = 10
✅ 2. Float — Decimal numbers
price = 99.99
✅ 3. String (str) — Text
name = "Data Scientist"
✅ 4. Boolean (bool) — True/False
is_passed = True

🔹 4. Check Data Type
x = 10
print(type(x))
Output: <class 'int'>

🔹 5. Simple Practice (Must Do)
Try running this:
name = "Rahul"
age = 23
height = 5.9
is_student = True
print(name)
print(age)
print(type(height))

🎯 Today’s Goal
✅ Understand variables
✅ Learn data types
✅ Run Python code at least once

👉 Use: Google Colab / Jupyter Notebook / VS Code.

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