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What is Positron?

Positron is a sophisticated and freely accessible integrated development environment tailored for data science, seamlessly incorporating both Python and R into a unified workflow. This platform enables data professionals to move effortlessly from data exploration to deployment by offering interactive consoles, notebook integration, effective management of variables and plots, and real-time app previews during the coding process, eliminating the complexities of setup. Equipped with AI-enhanced features like the Positron Assistant and Databot agent, it assists users in writing code, improving it, and conducting exploratory data analysis to accelerate development. Users also benefit from a specialized Data Explorer for examining dataframes, a connections pane for managing databases, and extensive support for notebooks, scripts, and visual dashboards, facilitating an easy transition between R and Python. Additionally, with built-in version control, extension support, and strong connectivity to other tools within the Posit Software ecosystem, Positron significantly enriches the overall experience for data scientists. Ultimately, this environment is designed to optimize workflows and enhance productivity for professionals engaged in data-centric projects, ensuring they can focus on achieving impactful results. Moreover, its user-friendly interface and collaborative features foster teamwork, making it an ideal choice for both individuals and teams working in data science.

What is Oracle Data Science?

A productivity-boosting data science platform presents exceptional features that streamline the crafting and evaluation of advanced machine learning (ML) models. By quickly utilizing data that businesses trust, organizations can enjoy enhanced flexibility and achieve their data-centric objectives through more straightforward ML model deployment. Cloud-based solutions empower companies to efficiently discover valuable insights that can shape their strategies. The process of building a machine learning model is inherently cyclical, and this ebook thoroughly explains each phase of its development. Users can interact with notebooks to create or assess a variety of machine learning algorithms, allowing for a hands-on learning experience. Engaging with AutoML not only leads to remarkable results in data science but also enables the swift generation of high-quality models with minimal effort. Additionally, automated machine learning techniques efficiently scrutinize datasets, suggesting the most effective features and algorithms while optimizing models and clarifying their outcomes. This holistic approach guarantees that organizations can fully exploit their data, fostering innovation and facilitating well-informed decision-making. Ultimately, adopting such advanced tools can significantly transform how businesses leverage data, setting them on a path toward lasting success.

Media

Media

Integrations Supported

Posit
Python
R
Shiny
Streamlit

Integrations Supported

OCI Data Labeling
Oracle Cloud Infrastructure

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Posit PBC

Date Founded

2009

Company Location

United States

Company Website

positron.posit.co

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/data-science/

Categories and Features

Data Science

Not specified

IDE

Not specified

Categories and Features

Data Science

Not specified

Machine Learning

Not specified

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