What Are the Top 10 Python Libraries for Data Science
Introduction For beginners in data science, understanding the top Python libraries can help you get a strong start. Top Python Training in Bangalore Each library has a specific role, making it easier to manage tasks like data manipulation, visualization, statistical analysis, and machine learning. Here’s an introductory look at the top 10 Python libraries that every data science beginner should know: 1. NumPy Introduction : NumPy is the foundation of data science in Python, providing support for handling large arrays and matrices of data, as well as performing mathematical operations on them. Use : Essential for numerical computing and working with multi-dimensional data structures. 2. Pandas Introduction : Pandas is used for data manipulation and analysis, making it easier to handle and transform structured data, like tables or time series. Use : It’s perfect for loading, cleaning, and analyzing datasets, often the first step in any data science project. 3. Matplotlib Introduc...