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What is pandas?

Pandas is a versatile open-source library for data analysis and manipulation that excels in speed and power while maintaining a user-friendly interface within the Python ecosystem. It supports a wide range of data formats for both importing and exporting, such as CSV, text documents, Microsoft Excel, SQL databases, and the efficient HDF5 format. The library stands out with its intelligent data alignment features and its adept handling of missing values, allowing for seamless label-based alignment during calculations, which greatly aids in the organization of chaotic datasets. Moreover, pandas includes a sophisticated group-by engine that facilitates complex aggregation and transformation tasks, making it simple for users to execute split-apply-combine operations on their data. In addition to these capabilities, pandas is equipped with extensive time series functions that allow for the creation of date ranges, frequency conversions, and moving window statistics, as well as managing date shifting and lagging. Users also have the flexibility to define custom time offsets for specific applications and merge time series data without losing any critical information. Ultimately, the comprehensive array of features offered by pandas solidifies its status as an indispensable resource for data professionals utilizing Python, ensuring they can efficiently handle a diverse range of data-related tasks.

What is Microsoft Excel?

Excel evolves based on your preferences, optimizing data management to boost productivity. You can easily create spreadsheets by utilizing either pre-designed templates or your own layout while employing sophisticated formulas for precise calculations. The latest enhancements to charts and graphs make it easier to present your data in a visually appealing manner, supplemented by various formatting options, sparklines, and tables that allow for more comprehensive analysis. With a single click, generating forecasts becomes a hassle-free process, enabling you to predict upcoming trends effectively. Collaborating with colleagues is made effortless, ensuring you can always work on the latest version of your workbook, which accelerates overall efficiency. Office 365 further enhances your experience by allowing you to access your Excel files seamlessly across different platforms, including mobile, desktop, and web. A standout new feature empowers you to enter data into Excel straight from a photograph; simply take a picture of a printed data table using your mobile device, and the software will transform it into a fully editable format. This groundbreaking image recognition functionality alleviates the monotonous chore of manual data entry from physical documents, thereby expediting and simplifying the process. Moreover, this capability significantly improves your ability to integrate existing paper documents into your digital workflows, ultimately enriching your data management experience. This advancement not only saves time but also encourages a more organized approach to handling data.

Media

Media

Integrations Supported

Netdata
ThinkData Works
AutoCAD MEP
Averi
CommandCenterHD
Coupler.io
FastGPT
Gemini Testing
Invest for Excel
JOIN Collaboration
Nesti
OneTeam
Pathway
SQLyog
SmartShare
SolidCAD Variant
Sparkbase
Timeclock.Kiwi
Vocola 3
WorldPosta

Integrations Supported

Netdata
ThinkData Works
AutoCAD MEP
Averi
CommandCenterHD
Coupler.io
FastGPT
Gemini Testing
Invest for Excel
JOIN Collaboration
Nesti
OneTeam
Pathway
SQLyog
SmartShare
SolidCAD Variant
Sparkbase
Timeclock.Kiwi
Vocola 3
WorldPosta

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$8.25 per user per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

pandas

Date Founded

2008

Company Website

pandas.pydata.org

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Spreadsheet

Analytics
Audit Trail
Calculators
Charting
Multi-User Collaboration
Templates

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