Anaconda Notebooks
Notebooks allow anyone, anywhere to spin up powerful data science projects directly from your browser, with all the packages and computing power you need.| Anaconda
Notebooks allow anyone, anywhere to spin up powerful data science projects directly from your browser, with all the packages and computing power you need.| Anaconda
Work with the packages you want, install in any environment, and run and update them without needing to type conda commands in a terminal window. Learn More| Anaconda
Eliminate hours of environment setup with Anaconda's pre-configured Quick Start Environments for data science and ML. Start building today!| Anaconda
Learn more about how enterprise AI can be applied to various use cases within your organization.| Anaconda
Discover how Anaconda delivers 119% ROI over three years with significant security and time savings. Download the Forrester TEI study now to boost your organization's efficiency.| Anaconda
The Anaconda AI Platform unifies capabilities our users already know and love to help streamline their organization’s AI and data science initiatives with open source. Learn More| Anaconda
Anaconda wins AI innovation award. Recognized for advancing open-source AI tools and democratizing data science access.| Anaconda
Streamline your Python package management with Anaconda's secure distribution platform. Enterprise Data Science and AI teams can access validated packages, resolve dependencies, and meet security standards.| Anaconda
Build securely with enterprise governance, deploy faster with vetted models, and reduce risk with comprehensive security| Anaconda
Transform raw usage data into actionable insights with Anaconda's analytics system. Track ROI, optimize resources, and make data-driven decisions for your AI initiatives.| Anaconda
This article is excerpted from “AI Essentials for Tech Executives: A Practical Guide to Unlocking the Competitive Potential of AI” by Hamel Husain and Greg Ceccarelli, published by O’Reilly Media, Inc., 2025. Reproduced with permission. One of the first questions I ask tech leaders is how they plan to improve AI reliability, performance, or user […] The post Stop Buying AI Tools: Why Process Beats Technology Every Time appeared first on Anaconda.| Anaconda
Fewer than one in four companies—only 22%—consider their AI deployment as strategic. That’s according to the respondents of our State of Data Science and AI survey. An unclear or absent strategy can limit how productive artificial intelligence (AI) initiatives become. However, we’re seeing progress toward those strategic approaches. In particular, there’s a varied mix of […] The post State of Data Science and AI: How Companies Are Moving Ahead (Or Not) in the AI Race appeared fi...| Anaconda
As part of the official Python support cycle defined by the Python Software Foundation (PSF), Python 3.9 is reaching its scheduled end-of-life in October 2025. Following this upstream timeline, Anaconda will stop building new packages for Python 3.9 in our main channel of the Anaconda Distribution. Important: All existing Python 3.9 packages will remain available […] The post Python 3.9 Reaches End-of-Life appeared first on Anaconda.| Anaconda
There has been a lot of excitement and anticipation this year for the official release of the NVIDIA DGX Spark™. First announced at NVIDIA GTC 2025 in March, the DGX Spark is a small form factor desktop computer that I think will change the CUDA ecosystem dramatically, especially for data scientists and AI researchers. It’s […] The post Python on NVIDIA DGX Spark: First Impressions appeared first on Anaconda.| Anaconda
Python has revolutionized data visualization by providing powerful, flexible tools that transform complex data sets into compelling visual narratives. Unlike traditional approaches limited to Excel spreadsheets or proprietary software like Tableau, Python offers unparalleled control over every aspect of data visualization—from basic bar charts and line graphs to sophisticated interactive dashboards and real-time data monitoring […] The post Five Python Data Visualization Examples to Trans...| Anaconda
NVIDIA becoming the world’s most valuable company and Python becoming the world’s most popular computing language are both due to the explosion of data science (DS), machine learning (ML), and artificial intelligence (AI) workflows in this Internet age. A few years ago, Python and R both seemed like strong contenders for these applications, as both […] The post Why Python is a Better Choice than R for Data Science and AI Workflows appeared first on Anaconda.| Anaconda
As enterprises transition from pilot projects to production-grade generative AI systems, robust architecture becomes essential. They must consider a range of factors: choosing the right model, ensuring scalability, security, observability, and governance at every layer of the stack. Below, we share a direct excerpt from Generative AI in Action by Amit Bahree (Manning, 2024), outlining […] The post Making GenAI Work with Your Data: Implementation Strategies for Enterprise-Grade Generative AI...| Anaconda
As organizations move from experimentation to production-grade GenAI systems, traditional MLOps alone isn’t enough. Below, we share a direct excerpt from Generative AI in Action by Amit Bahree (Manning, 2024), covering key practices for LLMOps, monitoring, and deployment checklists. The following text is excerpted with permission. LLMOps and MLOps Machine learning operations (MLOps) apply DevOps […] The post Scaling GenAI in Production: Best Practices and Pitfalls appeared first on Anaconda.| Anaconda
You’ve mastered Python basics and now you’re ready to level up your development workflow with specialized Jupyter Lab environments and industry-specific quick start environments that match how professionals work. This guide covers custom Jupyter setups, specialized environments, and the transition from simple base environment usage to sophisticated multi-environment workflows. Why Move Beyond the Base Environment […] The post Level Up Your Python Workflow with Specialized Conda Environm...| Anaconda
Learn to customize quick start environments, develop projects, and create production-ready requirements files for GitHub deployment using Anaconda Navigator.| Anaconda
Anaconda is the birthplace of Python data science. We are a movement of data scientists, data-driven enterprises, and open source communities.| Anaconda
The Anaconda AI Platform unifies open source governance with documented 119% return on investment, transforming AI development from risk to advantage.| Anaconda
Download Anaconda's open-source Distribution today. Discover the easiest way to perform Python/R data science and machine learning on a single machine.| Anaconda
