Type Conversion in Python
🔄 *Master Type Conversion in Python – Essential for Data Science! | Episode 2*
Welcome back to **Data Science for Beginners**!
In this *Episode 2**, we dive into **Type Conversion* – a must-know concept when working with real-world data.
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👨💻 *What You'll Learn:*
1. *Implicit Type Conversion* (Python does it automatically)
2. *Explicit Type Conversion* (You control it!)
`int()`, `float()`, `str()`, `bool()`
3. When & why type conversion is *critical in Data Science*
4. Common errors & how to fix them
5. Hands-on examples with *real data scenarios*
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💻 *Code from the Video:*
```python
Implicit Conversion (Python handles it)
num_int = 10
num_float = 3.14
result = num_int + num_float # 10 → 10.0 → 13.14
print("Implicit:", result, type(result))
Explicit Conversion
age = "25" # String from user input
salary = 50000.50
age_int = int(age) # "25" → 25
total = age_int + salary
print("Total:", total)
Convert to string for display
message = "Your age is " + str(age_int)
print(message)
Boolean conversion
print(bool(0)) # False
print(bool(42)) # True
print(bool("")) # False
print(bool("Hi")) # True