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What is Seaborn?

Seaborn is a powerful and flexible data visualization library for Python that enhances matplotlib's capabilities. It provides an intuitive interface for generating attractive and meaningful statistical graphics. To establish a basic understanding of its features, you might consider reviewing introductory notes or pertinent academic literature. For guidance on installation, there is a dedicated page that outlines the necessary steps to download and configure the library on your system. Additionally, the example gallery showcases a variety of visualizations that can be created with Seaborn, while tutorials and the API reference offer in-depth insights for users looking to expand their expertise. If you want to investigate the source code or address any issues, the GitHub repository serves as the appropriate resource. Moreover, for general questions and community support, StackOverflow hosts a specific section for discussions related to Seaborn. Engaging with these resources will not only improve your skills but also enable you to leverage the full potential of the library in your projects. By actively participating in the community, you can gain valuable feedback and tips that can further enhance your data visualization efforts.

What is Oracle Data Access Components (ODAC)?

Oracle Data Access Components (ODAC) represent a comprehensive suite of tools and drivers tailored for Windows and .NET ecosystems. This collection not only streamlines access to data within .NET but also incorporates Microsoft Visual Studio tools, enabling the development of applications that connect with Oracle databases, including support for ASP.NET providers. ODAC provides extensive client support and optimizes advanced capabilities of Oracle databases, enhancing performance, ensuring high availability, and implementing stringent security protocols. Furthermore, it integrates smoothly with Visual Studio, creating an efficient and cohesive development experience for programmers. The Oracle Data Provider for .NET complies with Microsoft’s ADO.NET interface, allowing for easy access to Oracle databases. Additionally, the OLAP Data Manipulation Language (OLAP DML) empowers users to effectively define and manage objects in analytic workspaces. With a commitment to high performance, ODAC delivers a rich array of data access mechanisms via Microsoft ADO and OLE DB, as well as crucial information on installation, configuration after installation, and operational guidelines to help users maximize its capabilities. Overall, ODAC stands out as a robust solution for developers engaged in Oracle database projects within the .NET framework, making it an indispensable tool in their toolkit. This versatility makes it suitable for a wide range of applications, from simple data retrieval to complex enterprise-level solutions.

Media

Media

Integrations Supported

.NET
ASP.NET
Oracle Database
Python
Visual Studio

Integrations Supported

.NET
ASP.NET
Oracle Database
Python
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

Seaborn

Company Website

seaborn.pydata.org

Company Facts

Organization Name

Oracle

Company Location

United States

Company Website

docs.oracle.com/en/database/oracle/oracle-data-access-components/

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

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Python Software Foundation