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Average Ratings 0 Ratings

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ease
features
design
support

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Description

E-iceblue offers an extensive array of professional development libraries and APIs that empower developers to programmatically create, read, write, edit, convert, print, manipulate, and view various document formats across different programming environments, all without the need for external software like Microsoft Office or Adobe Acrobat. Their product lineup features Spire.Office alongside specific components tailored for .NET platforms, which include Spire.Doc, Spire.XLS, Spire.Presentation, Spire.PDF, Spire.Barcode, Spire.Email, and Spire.OCR, thus accommodating tasks related to Word, Excel, PowerPoint, PDF, barcode generation, and email functionalities in C#, VB.NET, ASP.NET, .NET Core, Xamarin, and WPF applications, in addition to viewer libraries for seamless embedded document display. Furthermore, E-iceblue provides parallel APIs for Java, C++, Python, and JavaScript, as well as mobile and cloud solutions, notably Spire.Cloud.Office, which features HTML5 browser support for Word and Excel, enabling a comprehensive approach to document processing tasks. This extensive offering ensures that developers have access to versatile tools that can meet a wide variety of document management needs.

Description

Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adobe Acrobat Reader
Amazon SageMaker Data Wrangler
ApertureDB
Avanzai
C#
Codédex
Daft
Dash
Flower
Microsoft PowerPoint
Microsoft Word
Netdata
OrcaSheets
Python
RunCode
Sliq
Spyder
ThinkData Works
Yandex Data Proc
skills.ai

Integrations

Adobe Acrobat Reader
Amazon SageMaker Data Wrangler
ApertureDB
Avanzai
C#
Codédex
Daft
Dash
Flower
Microsoft PowerPoint
Microsoft Word
Netdata
OrcaSheets
Python
RunCode
Sliq
Spyder
ThinkData Works
Yandex Data Proc
skills.ai

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

E-ICEBLUE

Founded

2005

Country

China

Website

www.e-iceblue.com

Vendor Details

Company Name

pandas

Founded

2008

Website

pandas.pydata.org

Product Features

Product Features

Data Analysis

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

Alternatives

Alternatives

ML.NET Reviews

ML.NET

Microsoft