Writing Efficient Code with pandas

This chapter will give you an overview of why efficient code matters and selecting specific and random rows and columns efficiently.

This chapter shows the usage of the replace() function for replacing one or multiple values using lists and dictionaries.

This chapter presents different ways of iterating through a Pandas DataFrame and why vectorization is the most efficient way to achieve it.

This chapter describes the groupby() function and how we can use it to transform values in place, replace missing values and apply complex functions group-wise.