📄️ Working With Data
Python Pandas is a powerful open-source library that provides high-performance data structures and data analysis tools, making it a popular choice for data manipulation, cleaning, analysis, and visualization tasks.
📄️ NumPy Array
In the subsequent lessons, we will work with NumPy array instead of Pandas dataframe. Pandas dataframe is based on Numpy's array and many of the operations are similar between the two. However, there are some differences as well.
📄️ Visualization
Data visualization using Matplotlib and Seaborn in Python enables the creation of informative and visually appealing plots, charts, and graphs, facilitating the exploration, understanding, and communication of patterns, trends, and insights within data.