Python Programming Session 3 - Operators and Data Types

Jul 17, 2024

Python Programming Session 3 - Operators and Data Types

Overview

  • Aligned with B Tech in Data Science and AI program.
  • Includes additional info for data scientists, data analysts, data engineers.
  • Also beneficial for web/mobile app developers.

Resources

  • Visit 360digitmg.com for Python Programming fundamentals.
  • Use the mind map for detailed topics and to add more information.
  • Reinforce learning by practicing, not just by watching videos.

Recap from Previous Sessions

  • Discussed arithmetic, relational/comparison, assignment, logical operations.

Comments in Python

  • Anything written after a # is a comment.
  • Useful for making notes directly in the code (e.g., Jupyter, Spider, Google Colab).

Identity Operators

  • is and is not are used for comparison.
  • Example usage:
    • 1 is 1 returns True
    • 2 is 1 returns False
    • python is Python returns False due to case sensitivity

Complex Numbers

  • Include real and imaginary components, e.g., 2 + 3j.
  • Data type is complex.

Boolean Type

  • Values: True and False.
  • Examples:
    • type(True) returns bool
    • type(False) returns bool
    • True + True returns 2

Membership Operators

  • in and not in to check membership in sequences.
  • Example usage:
    • 'y' in 'Python' returns True
    • 'l' in 'Python' returns False

Operators Overview

  • Exponential, complement (~), arithmetic (+, -, *, /, %, //), bitwise, comparison, identity, membership, logical operators.
  • Evaluation sequence follows PEMDAS (Parentheses, Exponentiation, Multiplication/Division, Addition/Subtraction).

Data Types

  1. Numeric: Integer, Float, Complex
    • Integer: No decimals.
    • Float: With decimals.
    • Complex: Real + Imaginary parts.
  2. Boolean: True or False
  3. List: Ordered sequence of items within square brackets, mutable.

List Data Type

  • Creation and Access: Use square brackets and comma-separated values.
  • Modification: Append, insert, remove, pop, reverse, count, sort.
  • Examples:
    • list1 = [1, 2, 3]
    • list1.append(4)
    • list1.remove(2)
    • list1.pop(0)
    • list1.sort(reverse=True)

Practical Examples

  • Conducted practical demonstrations using various list operations.
  • Importance of typing code and following best practices (e.g., spacing around operators).

Future Topics

  • Will discuss more about data types and other Python features.

Conclusion

  • Join LinkedIn page and answer questions for a joint certificate from NASSCOM and 360digitMG.
  • Ensure to practice coding for effective learning.
  • Subscribe to the YouTube channel for more updates.