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* Home * Get Started * Pricing * Learning * Notebooks * Community * Packages * Support Sign In Sign up WELCOME TO ANACONDA CLOUD INTRODUCTION TO ANACONDA Watch an introductory course on Anaconda Distribution, conda, and creating your first Python program. Start Learning CODE ONLINE Now featuring new AI-powered code generation, insights, and debugging! Prefer to code in your browser? Start coding immediately with Anaconda Notebooks! No installation or configuration necessary. See Sample Notebook ANACONDA DISTRIBUTION Get started with the most fundamental DS, AI, and ML packages. Easily manage applications, packages, and environments using Navigator instead of the command line. Install Distribution FEATURED 19 items Explore All SELF-PACED LEARNING Jupyter Notebook Basics Thomas Nield 34 SELF-PACED LEARNING Prompt Engineering Essentials John Sukup 11 INSTRUCTOR-LED LEARNING High-Performance Python with Numba Stanley Seibert 11 LIVE EVENT 00:01 Building an OSS Governance Program for ML in the Enterprise 48 LIVE EVENT 00:01 MLOps with Anaconda’s Data Science Platform and MLFlow 59 WEBINAR Secure by Design: How Conda Signature Verification Secures Your Software Pipeline from the Start 28 WEBINAR Considerations for Choosing OSS Repositories for Enterprise Use 2 WEBINAR Data-Driven Manufacturing: AI, ML, and Data Science 109 WEBINAR The Pyscript Platform and the Magic of Python in the Browser 92 WEBINAR The Evolution of Data Practitioner Roles: Building Skills for Success 43 ARTICLE 1 min Developer Resources from Intel and Anaconda Intel and Anaconda Partner 26 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 176 ARTICLE 8 min Greener Machine Learning Computing with Intel AI Acceleration Valerio Maggio and Nikolay Petrov Partner 29 VIDEO 00:30 Greener Machine Learning with Intel: A Demo Valerio Maggio Partner 20 ARTICLE 4 min PyScript: Python in the Browser Sophia Yang 46 WEBINAR NLP Models for the Rest of Us 42 WEBINAR Machine Learning Modeling and Avoiding the Multiverse of Failures 87 WEBINAR Interpretable by Design: Building Explainable AI Models 35 WEBINAR ChatGPT and the Transformative Power of Large Language Models 76 SELF-PACED LEARNING 30 items Explore All SELF-PACED LEARNING Package Security Manager Basics Anaconda Team 6 SELF-PACED LEARNING Jupyter Notebook Basics Thomas Nield 34 SELF-PACED LEARNING Prompt Engineering Essentials John Sukup 11 SELF-PACED LEARNING Introduction to NumPy Thomas Nield 38 SELF-PACED LEARNING Git Fundamentals Vini Salazar 48 SELF-PACED LEARNING Regular Expressions in Python Thomas Nield 37 SELF-PACED LEARNING Develop an End-to-End Machine Learning Model John Sukup 59 SELF-PACED LEARNING Data Preparation for Large Language Models Thomas Nield 33 SELF-PACED LEARNING Anaconda Certified: Teach Python Programming with EduBlocks Kerry Kidd ... 52 SELF-PACED LEARNING Getting Started with EduBlocks for Teachers Joshua Lowe 27 SELF-PACED LEARNING Calculus Fundamentals Thomas Nield 39 SELF-PACED LEARNING Probability Fundamentals Thomas Nield 58 SELF-PACED LEARNING Get Started with Python in Excel Albert DeFusco 52 SELF-PACED LEARNING Python for Spreadsheets Albert DeFusco 248 SELF-PACED LEARNING Linear Algebra Thomas Nield 73 SELF-PACED LEARNING Data Visualization with PyScript Blake Rayfield 128 SELF-PACED LEARNING Build Your Data Science Portfolio Jose Mesa 139 SELF-PACED LEARNING Statistics and Hypothesis Testing Thomas Nield 68 SELF-PACED LEARNING Build and Deploy Data Apps in Anaconda Notebooks Philipp Rudiger 108 SELF-PACED LEARNING Conda Essentials Vini Salazar 29 SELF-PACED LEARNING Introduction to Machine Learning Thomas Nield 386 SELF-PACED LEARNING Python First Steps Nicholas Tollervey 91 SELF-PACED LEARNING Data Cleaning with Pandas Thomas Nield 130 SELF-PACED LEARNING Data Analysis with Excel & Python Joe Papa 140 SELF-PACED LEARNING Jupyter Notebook Basics Albert DeFusco 285 SELF-PACED LEARNING Conda Basics Vini Salazar 84 SELF-PACED LEARNING Introduction to Pandas for Data Analysis Ryan Orsinger 148 SELF-PACED LEARNING Introduction to SQL Thomas Nield 147 SELF-PACED LEARNING Introduction to Data Visualization with Python Sophia Yang 388 SELF-PACED LEARNING Get Started with Anaconda Anaconda Team 174 GETTING STARTED 55 items Explore All VIDEO 00:21 Distributing Conda Environments: Installers, Packs, and Parcels, Oh My! 11 SELF-PACED LEARNING Jupyter Notebook Basics Thomas Nield 34 SELF-PACED LEARNING Prompt Engineering Essentials John Sukup 11 SELF-PACED LEARNING Git Fundamentals Vini Salazar 48 SELF-PACED LEARNING Getting Started with EduBlocks for Teachers Joshua Lowe 27 VIDEO 00:11 Time Series Modeling with Prophet 68 SELF-PACED LEARNING Probability Fundamentals Thomas Nield 58 VIDEO 00:12 Getting Started with Anaconda Distribution 838 SELF-PACED LEARNING Get Started with Python in Excel Albert DeFusco 52 WEBINAR Secure by Design: How Conda Signature Verification Secures Your Software Pipeline from the Start 28 SELF-PACED LEARNING Python for Spreadsheets Albert DeFusco 248 SELF-PACED LEARNING Build Your Data Science Portfolio Jose Mesa 139 WEBINAR The Evolution of Data Practitioner Roles: Building Skills for Success 43 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 176 SELF-PACED LEARNING Data Cleaning with Pandas Thomas Nield 130 ARTICLE 1 min State of Data Science 2022: Download the Raw Data Sophia Yang 77 WEBINAR Using pandas for Data Science: Tips for New Users, Experts, and Everyone in Between Cheuk Ho 57 ARTICLE 1 min Your Guide to Jupyter Notebooks Anna Ng 145 ARTICLE 1 min How to Seamlessly Leverage Anaconda on Oracle Cloud Infrastructure JR Gauthier and Christian Capdeville 13 VIDEO 00:02 Create a Simple Python Program in Spyder 22 VIDEO 00:03 Create a Simple Python Program in PyCharm 9 VIDEO 00:02 Create a Simple Python Program in Jupyter 10 VIDEO 00:07 Getting Started with a Jupyter Notebook and JupyterLab 10 VIDEO 00:06 What Is Jupyter Notebook and JupyterLab? 11 VIDEO 00:04 Conda Workflow: Creating Environments, Installing Packages, and Launching an IDE 9 VIDEO 00:02 Understanding Conda 6 VIDEO 00:02 What Are Modules, Packages, and Libraries? 8 VIDEO 00:02 What Is Python? 13 VIDEO 00:03 Installing Anaconda (Mac) 4 VIDEO 00:02 Installing Anaconda (Windows) 8 VIDEO 00:02 Anaconda Distribution versus Miniconda 13 WEBINAR State of Data Science 2022 167 ARTICLE 3 min Introducing the conda rename Command Bianca Henderson, Travis Hathaway 14 DOCUMENT Crawl, Walk, Run: Bringing Data Science into your Organization 63 ARTICLE 7 min Career Perspectives: Zandra Nguyen - From Stay-at-Home Mom to Software Developer 5 ARTICLE 3 min Three Key Things Data Engineers Should Know 14 ARTICLE 3 min Finding Datasets using Advanced Google Search 13 DOCUMENT Free Book Chapter: Building Data Science Solutions with Anaconda Dan Meador 15 ARTICLE 8 min Jupyter Workflow for Data Scientists 32 ARTICLE 4 min How to Create a Reproducible Data Science Project: A Beginner’s Guide to Anaconda Project 8 ARTICLE 8 min Career Perspectives: Jacqueline Walker - From Education to Data Science 3 WEBINAR Graph Analytics for Data Scientists 23 WEBINAR State of Data Science 2021 21 WEBINAR Making Reproducible Conda-based Projects 6 DOCUMENT Conda Cheatsheet: Your Guide to Basic Conda Commands 20 DOCUMENT How to Install and Set Up the Anaconda arm64 Version on AWS Graviton2 Processors Partner 4 DOCUMENT How to Communicate Business Impact 12 DOCUMENT How to Structure Your Data Science Team for Success 17 DOCUMENT 9 Best Practices Every Data Science Leader Should Follow 19 DOCUMENT How Do I Become a Data Scientist? 74 DOCUMENT Anaconda: The World's Most Popular Data Science Platform 8 DOCUMENT 2021 State of Data Science Report 95 DOCUMENT Efficient Data Preparation with Python 23 DOCUMENT Data Science Communicator Toolkit Partner 9 DOCUMENT Guide to Open-Source Tools and Libraries 27 DATA VISUALIZATION 20 items Explore All VIDEO 00:20 Easy Plotting for Streaming Data 16 VIDEO 00:14 Deeply Interactive Dashboards from Python 50 VIDEO 00:19 Visualizing Geographic Data 37 SELF-PACED LEARNING Jupyter Notebook Basics Thomas Nield 34 SELF-PACED LEARNING Data Visualization with PyScript Blake Rayfield 128 WEBINAR Data-Driven Manufacturing: AI, ML, and Data Science 109 SELF-PACED LEARNING Build and Deploy Data Apps in Anaconda Notebooks Philipp Rudiger 108 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 176 ARTICLE 16 min An Introduction to the Seaborn Objects System Joshua Ebner 35 ARTICLE 21 min Ten Techniques for Machine Learning Visualization Pier Paolo Ippolito 33 ARTICLE 6 min The Easiest Way to Create an Interactive Dashboard in Python 41 ARTICLE 8 min Big Data Visualization Using Datashader in Python 33 ARTICLE 10 min Building a Panel Dashboard with Snowpark for Python: Snowflake for Data Scientists 13 ARTICLE 1 min Param Notebook Examples Jim Bednar 11 ARTICLE 6 min Real-time Dashboard in Python: Streaming and Refreshing 20 ARTICLE 7 min Deploy a Python Visualization Panel App to Google Cloud: Google Cloud App Engine and Github Actions 16 ARTICLE 19 min 5 Routes for Going from Zero to Viz in Data Science 12 WEBINAR Easy Data Exploration, Visualizations, and Dashboards Using Familiar APIs 12 WEBINAR Datashader: Visualizing Big Data 12 ARTICLE 3 min Python Dashboarding Landscape: Plotly Dash, Panel, Voila, and Streamlit Sophia Yang and Marc Skov Madsen 8 JUPYTER-NOTEBOOKS 12 items Explore All VIDEO 00:17 Exploring Data in Notebooks 16 SELF-PACED LEARNING Jupyter Notebook Basics Thomas Nield 34 VIDEO 00:05 Building the backend of meldR, an LXCP, with conda packages Katya Mijatovic ... Partner 25 SELF-PACED LEARNING Build and Deploy Data Apps in Anaconda Notebooks Philipp Rudiger 108 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 176 SELF-PACED LEARNING Jupyter Notebook Basics Albert DeFusco 285 VIDEO 00:03 How to run Stable Diffusion on a CPU with Anaconda Albert DeFusco 23 WEBINAR Jupyter Notebook: Tips for Productivity and Best Practices 69 ARTICLE 1 min Your Guide to Jupyter Notebooks Anna Ng 145 ARTICLE 11 min Toward a Greener AI: Measuring the Carbon Footprint of a Deep Learning Model in Python Jean-Paul Maalouf Partner 8 ARTICLE 8 min Jupyter Workflow for Data Scientists 32 ARTICLE 1 min Param Notebook Examples Jim Bednar 11 WORKING WITH PYTHON 48 items Explore All VIDEO 00:22 Understanding Performance with Profiling 4 SELF-PACED LEARNING Jupyter Notebook Basics Thomas Nield 34 SELF-PACED LEARNING Prompt Engineering Essentials John Sukup 11 INSTRUCTOR-LED LEARNING High-Performance Python with Numba Stanley Seibert 11 SELF-PACED LEARNING Introduction to NumPy Thomas Nield 38 SELF-PACED LEARNING Regular Expressions in Python Thomas Nield 37 SELF-PACED LEARNING Anaconda Certified: Teach Python Programming with EduBlocks Kerry Kidd ... 52 VIDEO 00:05 Building the backend of meldR, an LXCP, with conda packages Katya Mijatovic ... Partner 25 SELF-PACED LEARNING Get Started with Python in Excel Albert DeFusco 52 WEBINAR Secure by Design: How Conda Signature Verification Secures Your Software Pipeline from the Start 28 SELF-PACED LEARNING Python for Spreadsheets Albert DeFusco 248 WEBINAR Data-Driven Manufacturing: AI, ML, and Data Science 109 WEBINAR The Pyscript Platform and the Magic of Python in the Browser 92 WEBINAR The Evolution of Data Practitioner Roles: Building Skills for Success 43 ARTICLE 1 min Developer Resources from Intel and Anaconda Intel and Anaconda Partner 26 SELF-PACED LEARNING Python First Steps Nicholas Tollervey 91 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 176 ARTICLE 8 min Greener Machine Learning Computing with Intel AI Acceleration Valerio Maggio and Nikolay Petrov Partner 29 VIDEO 00:30 Greener Machine Learning with Intel: A Demo Valerio Maggio Partner 20 ARTICLE 4 min PyScript: Python in the Browser Sophia Yang 46 WEBINAR NLP Models for the Rest of Us 42 ARTICLE 1 min State of Data Science 2022: Download the Raw Data Sophia Yang 77 WEBINAR Awkward Arrays: Working With Nontabular Data at Scale Martin Durant 12 VIDEO 00:03 How to run Stable Diffusion on a CPU with Anaconda Albert DeFusco 23 WEBINAR Using pandas for Data Science: Tips for New Users, Experts, and Everyone in Between Cheuk Ho 57 ARTICLE 1 min Your Guide to Jupyter Notebooks Anna Ng 145 ARTICLE 11 min Toward a Greener AI: Measuring the Carbon Footprint of a Deep Learning Model in Python Jean-Paul Maalouf Partner 8 WEBINAR Scaling conda: A Faster conda for a Growing Community Jannis Leidel 4 WEBINAR Scaling conda: A Closer Look at conda’s New libmamba Solver 5 ARTICLE 9 min Machine Learning Model Drift Sophia Yang 15 WEBINAR Snowpark for Python: Best Practices for Using Anaconda in Snowflake Michael Grant ... Partner 4 ARTICLE 1 min How to Seamlessly Leverage Anaconda on Oracle Cloud Infrastructure JR Gauthier and Christian Capdeville 13 WEBINAR Rethinking Data Visualization with PyScript 24 ARTICLE 3 min Anaconda Acquires PythonAnywhere to Increase Python Accessibility and Adoption 9 ARTICLE 4 min Announcing PyScript Versioning: What You Should Know Fabio Pliger 9 WEBINAR Python Geospatial Tools Philipp Rudiger 61 ARTICLE 13 min Code, Community, Future—A year in review for Numba (2021) 4 ARTICLE 9 min Accelerating Python Data Science Partner 8 ARTICLE 9 min Challenges and Considerations of Distributed Data Science Partner Like ARTICLE 4 min Query Salesforce data in Python using intake-salesforce 5 WEBINAR Snowpark for Python: Using Anaconda in Snowflake Partner 4 WEBINAR Getting Started with GPUs in Python 15 WEBINAR Performance Tips for pandas 9 WEBINAR A Guide to Dask Collections 11 WEBINAR Scaling Up Python 16 WEBINAR Param: The most important Python library you've never heard of 17 DOCUMENT Dask for Parallel Computing Cheat Sheet Anaconda 5 VIDEO 00:38 PyScript - Programming for Everyone: 2022 PyCon Keynote 8 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 32 items Explore All SELF-PACED LEARNING Jupyter Notebook Basics Thomas Nield 34 SELF-PACED LEARNING Develop an End-to-End Machine Learning Model John Sukup 59 SELF-PACED LEARNING Data Preparation for Large Language Models Thomas Nield 33 SELF-PACED LEARNING Machine Learning with Python in Excel Valerio Maggio 27 VIDEO 00:04 OpenCV for Beginners - Enter the World of Computer Vision Partner 37 VIDEO 00:04 How to Build an Automator Tool to Reduce Content Development Time Partner 7 VIDEO 00:08 Intro to Deep Learning Partner 54 VIDEO 00:13 Ensemble Estimators with Dask-ML 8 VIDEO 00:28 The First Decade of PyData 12 VIDEO 00:25 Does Numerical Computing Have An Open Future? Anaconda's 10-Year Anniversary Celebration Panel 5 LIVE EVENT 00:01 Building an OSS Governance Program for ML in the Enterprise 48 LIVE EVENT 00:01 MLOps with Anaconda’s Data Science Platform and MLFlow 59 WEBINAR Data-Driven Manufacturing: AI, ML, and Data Science 109 ARTICLE 1 min Developer Resources from Intel and Anaconda Intel and Anaconda Partner 26 ARTICLE 8 min Greener Machine Learning Computing with Intel AI Acceleration Valerio Maggio and Nikolay Petrov Partner 29 VIDEO 00:30 Greener Machine Learning with Intel: A Demo Valerio Maggio Partner 20 WEBINAR NLP Models for the Rest of Us 42 WEBINAR Machine Learning Modeling and Avoiding the Multiverse of Failures 87 WEBINAR Interpretable by Design: Building Explainable AI Models 35 WEBINAR ChatGPT and the Transformative Power of Large Language Models 76 ARTICLE 1 min State of Data Science 2022: Download the Raw Data Sophia Yang 77 WEBINAR Awkward Arrays: Working With Nontabular Data at Scale Martin Durant 12 VIDEO 00:03 How to run Stable Diffusion on a CPU with Anaconda Albert DeFusco 23 ARTICLE 11 min Toward a Greener AI: Measuring the Carbon Footprint of a Deep Learning Model in Python Jean-Paul Maalouf Partner 8 ARTICLE 21 min Ten Techniques for Machine Learning Visualization Pier Paolo Ippolito 33 ARTICLE 9 min Machine Learning Model Drift Sophia Yang 15 ARTICLE 12 min Machine Learning Model Interpretability and Explainability Sophia Yang 20 ARTICLE 6 min Creating Custom Image Datasets for Deep Learning Projects 4 WEBINAR 2022 Predictions: What’s Next in Data Science, AI, and ML? 20 WEBINAR Deploying Machine Learning to Apple Devices with coremltools 6 WEBINAR Fairness & Bias in AI/ML: It's Time to Do Better 5 ARTICLE 5 min An Introduction to MLOps Partner 18 MORE CONTENT 30 items Explore All VIDEO 00:21 Capturing your Python Code as a Reproducible, Deployable Project 5 VIDEO 00:07 Dask in 7 Minutes Partner 4 PAGE Intel-Optimized Packages Elize Koch Partner 3 PAGE Anaconda Repository News Sheetal Kalburgi 22 VIDEO 00:29 Deep Dive into Environments and Integration with IDEs 21 VIDEO 00:21 Working with R and Conda Forge 15 VIDEO 00:10 Lifecycle of a Bug in pandas 7 VIDEO 00:20 Introduction to Intake 6 VIDEO 00:09 Your First OSS Contribution 5 VIDEO 00:06 Why Use a Virtual Conda Environment? Partner 8 VIDEO 00:32 Open Source Communities, Startups, and VC 9 VIDEO 00:30 Rapid Adoption of OSS in Enterprise: Anaconda's 10-Year Anniversary Celebration Panel 10 INSTRUCTOR-LED LEARNING Machine Learning with Python in Excel Valerio Maggio 30 WEBINAR How to Secure Your Python Open-Source Supply Chain from Hidden Threats 5 PAGE How to backup your Navigator environments on Anaconda Cloud 10 WEBINAR Scaling conda: Extending conda a New Plugin Ecosystem 8 WEBINAR Know Your Enemy: Vulnerability Data And What To Do With It 16 WEBINAR Native Application Development with Python 16 WEBINAR Rising Threat: Securing Your Open-Source Software Pipeline 5 ARTICLE 5 min Build a Scikit-Learn Model Using Snowpark for Python 4 ARTICLE 8 min Getting Started with conda Environments 6 ARTICLE 5 min Using conda for Geospatial Python Development 9 WEBINAR The Latest Happenings in the Dask Universe 4 WEBINAR Flexible Monitoring Apps in Python 22 WEBINAR Common Pitfalls in Using Cloud Object Storage 1 WEBINAR When your Big Data Problem is I/O Bound 4 WEBINAR Working With Data in the Cloud 3 ARTICLE 17 min A Python Data Scientist’s Guide to the Apple Silicon Transition Stanley Seibert 11 ARTICLE 5 min From Agriculture to Art, Four Unexpected Ways Data Science is Improving our World Anaconda Team 8 ARTICLE 9 min Code, Community, Future — A year in review for Numba Valentin Haenel 3 ©2024 Anaconda Inc. 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