Pandas is one of the most important libraries of the Python programming language. With Pandas, data reading, data preprocessing and data cleaning stages are done in a data science project. After collecting the data, making the data suitable for analysis is very important for data analysis. Data preprocessing and data cleaning is the phase that takes the most time from data scientists. Analyzes are made easier and faster by organizing data with the Pandas library.