python for data science tutorialspoint

Title: Python for Data Science Tutorial
Introduction:
Data science is a rapidly growing field that leverages the power of data to gain valuable insights and make informed decisions. Python has become one of the most popular programming languages in the data science community due to its versatility, ease of use, and a rich ecosystem of libraries. In this tutorial, we will explore key Python libraries and techniques for data science, including data manipulation, visualization, and machine learning.
Table of Contents:
Setting Up Your Environment
Data Manipulation with Pandas
Data Visualization with Matplotlib and Seaborn
Introduction to NumPy for Numerical Computing
Machine Learning with Scikit-Learn
Setting Up Your Environment:
Launch Jupyter Notebook with:
Here's a basic example of using Pandas:
Example of using Matplotlib and Seaborn:
Here's a simple NumPy example: