Learn to design, develop, and execute basic programs in Python.

Zero to Hero in Python for Data Science

This module provides a comprehensive introduction to the tools that help create various programs, such as documents, movies, and games. We'll start with a brief introduction to data science, followed by simple math, real-world problem solving, and precise writing solutions. Next, we'll learn decision-based solutions demonstrated via flowcharts and explained with execution sheets. Finally, we'll learn to translate our solutions into Python programs using variables, conditional statements, loops, strings, lists, and built-in functions. We'll also learn to create our custom functions in Python. After completing this module, we will have acquired the skills to write basic programs in Python.

Understanding Data Science with a focus on Python

## Nested loop
When we use a loop inside another loop, we call them **nested loops**. The first loop is called the **outer loop**, and the second loop is called the **inner loop**. Nested loops can be the same type or different types of loops. Both loops can be `for` loops or `while` loops. The outer loop can be a `for` loop and the inner loop a `while` loop, or vice versa.


# Nested loop
When we use a loop inside another loop, we call them **nested loops**. The first loop is called the **outer loop**, and the second loop is called the **inner loop**. Nested loops can be the same type or different types of loops. Both loops can be `for` loops or `while` loops. The outer loop can be a `for` loop and the inner loop a `while` loop, or vice versa.


Learn and practice using a loop inside another loop.

What is Data Science

Problem Solving with Simple Programs

Decisions and Branching

Python Basics

Repetition with Loops

Strings and Lists

Functions

Complex Programs

Conclusion

Nested Loops

Nested loop