Python, Analysis, Pandas, Environment.
install Pandas for data manipulation, NumPy for numerical computing, Matplotlib for data visualization, and Seaborn for statistical data visualization. 2. Foundational Steps for a Pandas Data Analysis Project 2.1. Importing Libraries To start a Python script or Jupyter Notebook for a data analysis