Welcome to our Python for Data Science tutorial! This guide will help you get started with Python, a powerful programming language used for data analysis and scientific computing.

Basic Concepts

  • Variables are used to store data values.
  • Data Types include integers, floating-point numbers, strings, and booleans.
  • Control Structures like if, for, and while allow you to control the flow of your program.

Essential Libraries

  • NumPy is a fundamental package for scientific computing with Python.
  • Pandas provides high-performance, easy-to-use data structures and data analysis tools.
  • Matplotlib is a comprehensive library for creating static, interactive, and animated visualizations in Python.

Example

Here is a simple example to demonstrate how to calculate the mean of a list of numbers using Python:

import numpy as np

numbers = [1, 2, 3, 4, 5]
mean = np.mean(numbers)
print("The mean is:", mean)

Resources

For further reading, you might want to check out our Python Basics tutorial.

Python Data Science