Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Website

https://www.anaconda.com/

External link for Anaconda, Inc.

Industry

Software Development

Company size

201-500 employees

Headquarters

Austin, Texas

Type

Privately Held

Founded

2012

Specialties

Big Data Analytics, Python, SciPy, NumPy, Python Training, Python Consulting, Web-Based Python, Local Python Installs, Machine Learning , Data Science, High Performance Analytics, Predictive Analytics, Big Data Visualization, AI, LLMs, and Predictive Modeling

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• Stephen Bronstein

  Strategic Data & Operations Executive

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• Anaconda, Inc.

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  Introducing the Anaconda AI Platform, the only unified AI platform for open source!With the Anaconda AI Platform:✔️ Save time, money, and risk while offering 3x more packages that are compatible with Anaconda’s trusted distribution✔️ Accelerate innovation with pre-configured Quick Start Environments ✔️ Drive proven ROI Discover how the Anaconda AI Platform can eliminate manual toil and risk to drive AI innovation:https://bit.ly/4jSzRA7

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  In today’s#PythonTips: Anaconda Principal EngineerNicholas Tollervey shares how he combines focus and exploration to work better in Python 💡He swears by the Python REPL to explore code interactively. Two commands are key: dir() shows all objects and their methods, and help() instantly pulls up documentation. With these, you can poke around Python APIs, experiment in real time, and discover functionality without leaving the REPL.https://lnkd.in/eRGrBxpx

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  “If we’re able to take our logic of what’s useful to us, that can definitely be used to provide better outcomes from the model because we’ve almost layered some of our judgment in the input data.”OnInsightJam.com’s The Jam Session, Anaconda Field CTO Steve Croce joined a panel on why analytics platforms still matter in the AI era. The takeaway: AI isn’t a replacement for analytics. Instead, it complements it by increasing the value and reach of existing data systems.Teams can chat with data, inspect the code behind results, and keep humans in the loop—using cleaned, structured analytics as reliable inputs for models and operational decisions.Watch the full conversation:https://lnkd.in/gFg3SPfh

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  Python and R both shaped data science, but Python has surged ahead in AI and machine learning workflows 🚀Its broad ecosystem, seamless integration with production systems, and massive community let teams handle end-to-end workflows—from data ingestion to model deployment—without juggling multiple languages. When it comes to operationalizing AI at scale, Python has become the go-to choice, powering modern AI systems and future-proofing workflows.Learn more about how Python came to dominate in data science and AI workflows:https://lnkd.in/e6Rf4Fpz

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  We’re falling in love with these user ratings 🍂Anaconda was named a Leader in theG2 Fall Report for Data Science and Machine Learning. The report highlights a strong scalability rating (92%), consistent ROI from the unified platform (93%), and managed service excellence (90%) that helps reduce risk. Explore the full report and why 100% of users rate Anaconda 4-5 stars:https://lnkd.in/eFunpWty

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  We cannot wait to connect with the global cloud community atAmazon Web Services (AWS) re:Invent this December! ☁️Joining us is our SVP of Partnerships,Barry Russell —your go-to resource for exploring the Anaconda partner ecosystem and learning how to become a partner.Don’t miss this chance to connect withBarry and other cloud pioneers worldwide. Stop by booth #1327 at the expo:https://lnkd.in/dEh-UsiH

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• Anaconda, Inc.

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  Keep your packages secure and your workflows running smoothly 🔐⚡In Anaconda's new "Lessons from the Library" course, you’ll learn how to manage users, set up secure distribution channels, enforce policies, and address vulnerabilities with CVEs and SBOMs—all within PSM Cloud.You’ll also discover how to configure fine-grained permissions for better collaboration, monitor activity with telemetry, and optimize your organization’s package management from end to end.This lesson is perfect for admins who want to streamline operations while strengthening security and compliance.Swipe to learn more and dive into the full course at your own pace:https://lnkd.in/e9AfJ2q7

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  Implementing effective enterprise AI at scale is challenging—and organizations that make costly implementation mistakes only fall further behind ⛓️💥 Our new guide, published byO'Reilly, provides the practical framework leaders need to build AI strategies that actually work and…-Avoid critical (and common) AI mistakes -Know when to build or buy-Implement effective data review methodsDownload the AI Essentials for Tech Executives ➡️https://lnkd.in/ggaFzMYV

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  A DataFrame isn’t just a spreadsheet—it’s a flexible, two-dimensional structure built for serious data analysis 📊With rows, columns, and support for different data types, DataFrames make cleaning, transforming, and analyzing data intuitive. Methods like .query(), .groupby(), and .merge() read almost like English, turning complex tasks into just a few lines of code. In this week’s#PythonTips, Anaconda’sDawn Gibson Wages walks through how mastering DataFrames transforms how you think about data, making data analysis intuitive.https://lnkd.in/gGFicbbB

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  With the Anaconda AI Platform, Dr. Jun Ding and his team atMcGill University are tackling idiopathic pulmonary fibrosis, a fatal lung disease with few treatment options.🔬 They identified a safe, widely used hypertension drug that may treat IPF as effectively as current therapies at 0.1% the cost. Their work highlights how streamlined research environments accelerate breakthroughs in computational drug discovery, making life-saving science more accessible. Swipe through to learn more.https://lnkd.in/gXTtN7nW

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