pandas is a Windows Python library for scientific computing. There are instruments for storing numbers, strings, dates or categorical variables in two dimensional tables with labeled rows and columns.

Data processing

Users can generate arrays with customizable indices. Additionally, it is possible to manipulate and analyze information in data frames and series. Tools for sorting, filtering, grouping and aggregating variables are included.

The program helps you prepare source information for further analysis by removing duplicate rows and handling missing values. Moreover, there is an option to convert data types.

Raw values can be transformed into charts and plots. Resulting graphics are both informative and visually appealing.

Analysis

Users are able to automatically calculate summary statistics. There are instruments for identifying patterns and trends in the source data. Various statistical analysis and correlation tasks are available.

This library allows you to prepare data for machine learning models. It can be used to evaluate the performance and accuracy of existing neural networks as well.

Features

contains a Python library for data analysis;
free to download and use;
it is possible to prepare information for processing by removing duplicate values and rows;
you can automatically visualize data points in the form on charts, diagrams and plots;
compatible with all modern versions of Windows.