This course will teach you the fundamentals of the Pandas library in terms of data representation, processing and filtering to programmatically start working with complex datasets with ease and extreme convenience.
Pandas is a powerful library for data processing. In this course, Up and Running with Pandas, you’ll learn how to take advantage of the Pandas library to integrate data processing in your Python application. First, you’ll explore how to fetch data from a medium and programmatically represent it as a data frame object as well as create your own data frame from scratch using standard tools for portability and simplicity, specifically, running it in a Jupyter notebook. Next, you’ll discover the different properties of a data frame to know your way around its various sections, observing all sorts of information from it. Finally, you’ll learn how to do all sorts of operations against a data frame that are commonly used in most data processing scenarios such as getting statistical properties, performing arithmetic against the entire dataset and basic filtering. When you’re finished with this course, you’ll have the skills and knowledge of the 'FREE' aspect of Pandas: fundamentals, representation, exploration, and evaluation.
Pandas is a powerful library for data processing. In this course, Up and Running with Pandas, you’ll learn how to take advantage of the Pandas library to integrate data processing in your Python application. First, you’ll explore how to fetch data from a medium and programmatically represent it as a data frame object as well as create your own data frame from scratch using standard tools for portability and simplicity, specifically, running it in a Jupyter notebook. Next, you’ll discover the different properties of a data frame to know your way around its various sections, observing all sorts of information from it. Finally, you’ll learn how to do all sorts of operations against a data frame that are commonly used in most data processing scenarios such as getting statistical properties, performing arithmetic against the entire dataset and basic filtering. When you’re finished with this course, you’ll have the skills and knowledge of the 'FREE' aspect of Pandas: fundamentals, representation, exploration, and evaluation.
