Legacy – Why Use Pandas
- 01:21
Learn more about why we should use the Pandas library from Python when there are many options available.
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Pandas Library Why use PandasTranscript
Why do we have to use the pandas library when there are so many other software's available to perform data cleaning? The first reason is because pandas has been around for a long time, meaning it has been cleaned without any bugs. So when you perform a task, the outcome would be bug free. Secondly, pandas is easy to use, meaning you do not need to have a complex training in order to apply the pandas library to various data sets and also to perform various tasks. Finally, pandas is free to use meaning you don't have to pay anything to use the pandas library. But why do we need to actually use it apart from these three major advantages? Because when you use pandas library, the data cleaning process fast you wouldn't have to write 50 lines of code or 100 lines of code to perform a minor task. All these tasks are inputted as inbuilt functions meaning you just have to execute a single function to perform a task. You also use Pandas for data preparation. Data Preparation is a process where you clean a data set for further data visualisation or data modelling. And again after the data preparation is complete, the pandas libraries can be used alongside other libraries such as matplotlib to perform data analysis and visualisation