Gain insights into Pandas' powerful tools for data analysis. Learn about Series, DataFrames, and optimize performance for data operations, filtering, and file uploads in data science and machine learning.

Pandas is a very popular Python library that provides powerful, flexible and high-performance tools to process data.

If you’re looking to get into data science, machine learning, or you just want to brush up on your analytics skills, then look no further. In this course, you’ll learn how to process and analyze data with Pandas. 

You’ll start out by covering the basic data structures in Pandas: Series and dataframes. In the latter half of the course, you’ll learn how to perform operations on different data structures, and how to optimize performance for file uploads, data filtering, and more.

Data Analysis & Processing with Pandas

pandas provides extensive methods for data selection. You can find the corresponding lesson in [Select data from DataFrame](https://www.educative.io/courses/data-analysis-processing-with-pandas/select-data-from-dataframe). Below are some alternative methods you could choose,

- Pass condition expression to `[]` operation.
- Use the `query()` function.
- Use the `eval()` function.

In this lesson, we show how to choose the method to select data.

Introduction

Basic Operations on DataFrames

Other topics

Improve performance

Optimized Data Filtering