Basic Data Types in Python

Lecturer: Siddharthan

This lecture focuses on the basic data types in Python, the second module of a hands-on machine learning course with Python. This is the third video in this module.

Data Types in Python

The five basic data types in Python are:

1. Integer (int)
2. Floating Point (float)
3. Complex (complex)
4. Boolean (bool)
5. String (str)

Integer

• Real numbers without a fractional component.
• Example: a = 8
• Check the data type: type(a) -> int
• Printing: print(a) -> 8

Floating Point

• Decimal numbers.
• Example: b = 2.3
• Check the data type: type(b) -> float
• Printing: print(b) -> 2.3

Complex

• Numbers with both real and imaginary parts.
• Example: c = 1 + 3j (here 1 is real, 3j is imaginary)
• Check the data type: type(c) -> complex
• Printing: print(c) -> 1+3j

Conversion Between Data Types

• Integer to Float:

  x = 10
  y = float(x)
  

  Results:
  • print(y) -> 10.0
  • type(y) -> float
• Float to Integer:

  x = 5.88
  y = int(x)
  

  Results:
  • print(y) -> 5 (removes decimal, does not round)
  • type(y) -> int

Boolean

• Represents True or False.
• Example:

  a = True
  b = False
  

  Check the data type: type(a) -> bool
  • Can be used in conditions. Example:

  a = 7 > 3
  

  • print(a) -> True
  • type(a) -> bool

String

• Text or statements enclosed in quotes (") or (").
• Example: my_string = "Machine Learning"
• Check the data type: type(my_string) -> str
• Printing: print(my_string) -> Machine Learning
• *Operations on Strings:
  • Replication:

    print("Hello" * 5)
    

    Results: HelloHelloHelloHelloHello
  • Slicing:

    s = "Programming"
    print(s[0:5])  # Output: 'Progr'
    

  • Step Slicing:

    s = "Programming"
    print(s[0:10:2])  # Output: 'Pormn'
    

  • Concatenation:

    word1 = "Machine"
    word2 = "Learning"
    print(word1 + " " + word2)
    

    Results: Machine Learning

Summary

• Discussed five basic data types in Python.
• Example code snippets to define, print, and convert between data types.
• Basic operations on each data type, especially strings.
• Next video will cover more advanced data types like lists and tuples.