PYTHON PROGRAMMING
Introduction to Python Programming
Python is a versatile and widely-used programming language known for its readability and straightforward syntax. This session introduces the basics of Python programming, including its syntax, data types, and basic constructs.
Objectives of This Session
– Understand the basics of Python programming.
– Learn about Python’s data types, control structures, and functions.
– Write simple Python scripts to solve problems.
1. Overview of Python
History and Popularity:
Developed by Guido van Rossum and released in 1991, Python has become one of the most popular programming languages due to its simplicity and readability, as well as its vast ecosystem of libraries.
Features:
– Easy to read, learn, and write.
– Supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
– Extensive standard libraries and modules that facilitate many programming tasks.
2. Basic Syntax and Data Types
Syntax Rules:
– Python uses indentation to define blocks of code, unlike other languages that use braces.
– Statements end with a newline character, and semicolons are optional.
Data Types:
-Numbers: `int`, `float`
– Strings: Enclosed in single or double quotes.
– Lists: Ordered and mutable collection of items.
– Tuples: Ordered and immutable collection of items.
– Dictionaries: Key-value pairs.
– Example:
my_list = [1, 2, 3]
my_tuple = (1, 2, 3)
my_dict = {‘key’: ‘value’}
3. Control Structures
Conditional Statements (`if`, `elif`, `else`):
if x > 10:
print(“x is greater than 10”)
elif x == 10:
print(“x is exactly 10”)
else:
print(“x is less than 10”)
Loops:
– For Loop: Used for iterating over a sequence (list, tuple, dictionary, set, or string).
for x in range(5):
print(x)
“`
– While Loop: Repeats as long as a certain boolean condition is met.
“`python
count = 0
while count < 5:
print(count)
count += 1
4. Functions in Python
Definition and Usage:
– Functions are defined using the `def` keyword.
– Used to encapsulate code for reuse.
– Can accept parameters and return values.
Data Privacy:
Always consider the privacy implications when using AI tools, especially in handling sensitive or personal data.
Continuous Learning and Updating:
AI tools are continually updated; staying informed about these updates can help maximize their potential.
5. Ethical Considerations
Bias and Fairness:
AI tools can inherit biases from their training data. It’s important to recognize and mitigate these biases.
Transparency:
Users should understand how AI decisions are made and consider the implications of AI-generated content.
6. Getting Started with Learning
Resources:
– [Read this blog] (https://bit.ly/4bpvbwC)
Conclusion
This session has provided an overview of ChatGPT, DALL-E, GPT-3, and their practical applications. Understanding these tools enhances their potential benefits and allows for their responsible use in various fields.
