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

# Task
Write a program that calculates the `result` using the following formula:
$$\text{result}= 3x +5y$$


## Sample input
```t
x = 3
y = 4
```
## The resulting value
```t
result = 29
```
## Expected output
```t
The calculated result is 29.
```
---

## How to test your program
When you click the “Test” button of the code widget, you get two options:

* **Show Results:** This shows the sample inputs and their respective results in comparison with the expected output. The actual output is the calculated result. The word “Succeeded” in the last column indicates that the calculated output matches the expected output. For example, if the values of `x` and `y` are `3` and `4` respectively, and the result is `29`, then the last column shows "Succeeded."

* **Show Console:** This shows the output from the `print()` statements used in your code. You may use this to verify your calculations on the basis of sample test inputs. For example, if the values of `x`,  and `y` are `3` and `4`, respectively, then the output on the console should be `The calculated result is 29`.

Convert a mathematical formula into a program.

Challenge: Euclidean Distance

Task