Data analysis was always important, especially for scientists. However, data collection and analysis plays a significant role in business as well. Nowadays, with tools like Pandas or NumPy, it is becoming easier to discover opportunities in the data. Today we are going to talk about Pandas, which is a Python library with pre-built methods for many applications. Pandas seems to be quite useful for data science operations and additionally, easy to use which means time and effort efficient. Let’s check if it is true!