Python has become a popular language for data science due to its simplicity, flexibility, and extensive library support. To master Python for data science, you need to be familiar with essential libraries and techniques that can help you manipulate and analyze data effectively. In this article, we will explore some of the key libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn, along with techniques like data cleaning, visualization, and machine learning. By understanding and using these tools, you can become proficient in data science using Python.