Learn to perform data analysis and processing using DataFrames in pandas.

Pandas: Python for Data Analysis

In this module, we’ll learn how to process and analyze data with pandas. We’ll start by covering the basic data structures in pandas such as series and DataFrames. We’ll learn how to perform operations on different data structures as well as how to optimize performance for file uploads, data filtering, and more.

Data Analysis and Processing with Pandas

In [Index](https://www.educative.io/courses/data-analysis-processing-with-pandas/indexing-and-slicing) lesson, we have already learned how to use label based indexing with `loc`, which can index both rows and columns. If you only have to filter rows, a simpler alternative is to use `query()`. However, `[]` is also commonly used in addition to `query()`.

Let's see how to select data from the DataFrame object.

Introduction

Basic Operations on DataFrames

Other topics

Improve performance

Conclusion

Select Data From DataFrame