Description

There are many Python libraries that can be leveraged for data handling. One of the most popular is Pandas, which can be used for both analysis and visualization. In this session, we will detail some of the most powerful tools Pandas makes available for new developers.

Topics include:

• Understanding and using the DataFrame structure
• Accessing rows and columns for analysis
• Implementing statistical methods
• Shape and cleanse data programmatically