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* Home * Get Started * Packages * Learning * Notebooks * Community Sign In Sign up WELCOME TO ANACONDA CLOUD Your home for data science and Python. Power up your data science workflows, innovate and collaborate, and find the perfect Python package. -------------------------------------------------------------------------------- FEATURED 13 items Explore All LIVE EVENT 00:01 The Pyscript Platform and the Magic of Python in the Browser 18 INSTRUCTOR-LED LEARNING Data Visualization with PyScript Blake Rayfield 3 INSTRUCTOR-LED LEARNING Develop an End-to-End Machine Learning Model John Sukup 7 WEBINAR The Evolution of Data Practitioner Roles: Building Skills for Success 17 ARTICLE 1 min Developer Resources from Intel and Anaconda Intel and Anaconda Partner 16 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 54 ARTICLE 8 min Greener Machine Learning Computing with Intel AI Acceleration Valerio Maggio and Nikolay Petrov Partner 16 VIDEO 00:30 Greener Machine Learning with Intel: A Demo Valerio Maggio Partner 12 ARTICLE 4 min PyScript: Python in the Browser Sophia Yang 39 WEBINAR NLP Models for the Rest of Us 25 WEBINAR Machine Learning Modeling and Avoiding the Multiverse of Failures 80 WEBINAR Interpretable by Design: Building Explainable AI Models 31 WEBINAR ChatGPT and the Transformative Power of Large Language Models 68 SELF-PACED LEARNING 13 items Explore All SELF-PACED LEARNING Build and Deploy Data Apps in Anaconda Notebooks Philipp Rudiger 1 SELF-PACED LEARNING Conda Essentials Vini Salazar 7 SELF-PACED LEARNING Introduction to Machine Learning Thomas Nield 238 SELF-PACED LEARNING Python First Steps Nicholas Tollervey 34 SELF-PACED LEARNING Data Cleaning with Pandas Thomas Nield 71 SELF-PACED LEARNING Data Analysis with Excel & Python Joe Papa 85 SELF-PACED LEARNING Jupyter Notebook Basics Albert DeFusco 106 SELF-PACED LEARNING Conda Basics Vini Salazar 66 SELF-PACED LEARNING Introduction to Pandas for Data Analysis Ryan Orsinger 104 SELF-PACED LEARNING Introduction to SQL Thomas Nield 106 SELF-PACED LEARNING Introduction to Python Programming Max Humber 458 SELF-PACED LEARNING Introduction to Data Visualization with Python Sophia Yang 263 SELF-PACED LEARNING Get Started with Anaconda Anaconda Team 140 GETTING STARTED 51 items Explore All WEBINAR The Evolution of Data Practitioner Roles: Building Skills for Success 17 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 54 SELF-PACED LEARNING Data Cleaning with Pandas Thomas Nield 71 ARTICLE 1 min State of Data Science 2022: Download the Raw Data Sophia Yang 71 WEBINAR Using pandas for Data Science: Tips for New Users, Experts, and Everyone in Between Cheuk Ho 51 ARTICLE 1 min Your Guide to Jupyter Notebooks Anna Ng 108 NOTEBOOK Getting Started with Anaconda 428 VIDEO 00:12 Getting Started with Anaconda Distribution 819 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 20 VIDEO 00:03 Create a Simple Python Program in PyCharm 8 VIDEO 00:02 Create a Simple Python Program in Jupyter 9 VIDEO 00:07 Getting Started with a Jupyter Notebook and JupyterLab 9 VIDEO 00:06 What Is Jupyter Notebook and JupyterLab? 10 VIDEO 00:04 Conda Workflow: Creating Environments, Installing Packages, and Launching an IDE 6 VIDEO 00:02 Understanding Conda 5 VIDEO 00:02 What Are Modules, Packages, and Libraries? 7 VIDEO 00:02 What Is Python? 10 VIDEO 00:03 Installing Anaconda (Mac) 4 VIDEO 00:02 Installing Anaconda (Windows) 7 VIDEO 00:02 Anaconda Distribution versus Miniconda 13 WEBINAR State of Data Science 2022 161 ARTICLE 3 min Introducing the conda rename Command Bianca Henderson, Travis Hathaway 14 DOCUMENT Crawl, Walk, Run: Bringing Data Science into your Organization 59 NOTEBOOK Start to Finish Modeling of Iris Dataset 74 NOTEBOOK Pittsburgh Bikeshare Program Feature Importances Anaconda Team 47 NOTEBOOK Getting Started with Anaconda Distribution Albert Defusco and Matt Brock 374 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 10 ARTICLE 3 min Finding Datasets using Advanced Google Search 11 DOCUMENT Free Book Chapter: Building Data Science Solutions with Anaconda Dan Meador 14 ARTICLE 8 min Jupyter Workflow for Data Scientists 27 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 2 WALKTHROUGH Why File Formats Matter 3 WEBINAR Graph Analytics for Data Scientists 21 WEBINAR State of Data Science 2021 20 WEBINAR Making Reproducible Conda-based Projects 6 DOCUMENT Conda Cheatsheet: Your Guide to Basic Conda Commands 18 DOCUMENT How to Install and Set Up the Anaconda arm64 Version on AWS Graviton2 Processors Partner 4 DOCUMENT How to Communicate Business Impact 11 DOCUMENT How to Structure Your Data Science Team for Success 17 DOCUMENT 9 Best Practices Every Data Science Leader Should Follow 17 DOCUMENT How Do I Become a Data Scientist? 71 DOCUMENT Anaconda: The World's Most Popular Data Science Platform 8 DOCUMENT 2021 State of Data Science Report 92 DOCUMENT Efficient Data Preparation with Python 20 DOCUMENT Data Science Communicator Toolkit Partner 8 DOCUMENT Guide to Open-Source Tools and Libraries 26 VIDEO 00:11 Time Series Modeling with Prophet 28 VIDEO 00:21 Distributing Conda Environments: Installers, Packs, and Parcels, Oh My! 11 DATA VISUALIZATION 19 items Explore All SELF-PACED LEARNING Build and Deploy Data Apps in Anaconda Notebooks Philipp Rudiger 1 INSTRUCTOR-LED LEARNING Data Visualization with PyScript Blake Rayfield 3 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 54 ARTICLE 16 min An Introduction to the Seaborn Objects System Joshua Ebner 29 ARTICLE 21 min Ten Techniques for Machine Learning Visualization Pier Paolo Ippolito 26 ARTICLE 6 min The Easiest Way to Create an Interactive Dashboard in Python 36 ARTICLE 8 min Big Data Visualization Using Datashader in Python 31 ARTICLE 10 min Building a Panel Dashboard with Snowpark for Python: Snowflake for Data Scientists 12 ARTICLE 1 min Param Notebook Examples Jim Bednar 9 ARTICLE 6 min Real-time Dashboard in Python: Streaming and Refreshing 17 ARTICLE 7 min Deploy a Python Visualization Panel App to Google Cloud: Google Cloud App Engine and Github Actions 13 ARTICLE 19 min 5 Routes for Going from Zero to Viz in Data Science 9 WALKTHROUGH Visualizing Geographic Data 15 WEBINAR Easy Data Exploration, Visualizations, and Dashboards Using Familiar APIs 11 WEBINAR Datashader: Visualizing Big Data 11 ARTICLE 3 min Python Dashboarding Landscape: Plotly Dash, Panel, Voila, and Streamlit Sophia Yang and Marc Skov Madsen 8 VIDEO 00:20 Easy Plotting for Streaming Data 14 VIDEO 00:14 Deeply Interactive Dashboards from Python 46 VIDEO 00:19 Visualizing Geographic Data 30 JUPYTER NOTEBOOKS 15 items Explore All SELF-PACED LEARNING Build and Deploy Data Apps in Anaconda Notebooks Philipp Rudiger 1 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 54 SELF-PACED LEARNING Jupyter Notebook Basics Albert DeFusco 106 VIDEO 00:03 How to run Stable Diffusion on a CPU with Anaconda Albert DeFusco 13 WEBINAR Jupyter Notebook: Tips for Productivity and Best Practices 61 ARTICLE 1 min Your Guide to Jupyter Notebooks Anna Ng 108 ARTICLE 11 min Toward a Greener AI: Measuring the Carbon Footprint of a Deep Learning Model in Python Jean-Paul Maalouf Partner 4 VIDEO 00:05 Building the backend of meldR, an LXCP, with conda packages Katya Mijatovic ... Partner 5 NOTEBOOK Introduction to Principal Component Analysis 102 NOTEBOOK Start to Finish Modeling of Iris Dataset 74 NOTEBOOK Pittsburgh Bikeshare Program Feature Importances Anaconda Team 47 NOTEBOOK Getting Started with Anaconda Distribution Albert Defusco and Matt Brock 374 ARTICLE 8 min Jupyter Workflow for Data Scientists 27 ARTICLE 1 min Param Notebook Examples Jim Bednar 9 VIDEO 00:17 Exploring Data in Notebooks 13 WORKING WITH PYTHON 40 items Explore All LIVE EVENT 00:01 The Pyscript Platform and the Magic of Python in the Browser 18 INSTRUCTOR-LED LEARNING Data Visualization with PyScript Blake Rayfield 3 WEBINAR The Evolution of Data Practitioner Roles: Building Skills for Success 17 ARTICLE 1 min Developer Resources from Intel and Anaconda Intel and Anaconda Partner 16 SELF-PACED LEARNING Python First Steps Nicholas Tollervey 34 WEBINAR Anaconda Notebooks and Jupyter: Best Practices for Data Scientists and Developers 54 ARTICLE 8 min Greener Machine Learning Computing with Intel AI Acceleration Valerio Maggio and Nikolay Petrov Partner 16 VIDEO 00:30 Greener Machine Learning with Intel: A Demo Valerio Maggio Partner 12 ARTICLE 4 min PyScript: Python in the Browser Sophia Yang 39 WEBINAR NLP Models for the Rest of Us 25 ARTICLE 1 min State of Data Science 2022: Download the Raw Data Sophia Yang 71 WEBINAR Awkward Arrays: Working With Nontabular Data at Scale Martin Durant 11 VIDEO 00:03 How to run Stable Diffusion on a CPU with Anaconda Albert DeFusco 13 WEBINAR Using pandas for Data Science: Tips for New Users, Experts, and Everyone in Between Cheuk Ho 51 ARTICLE 1 min Your Guide to Jupyter Notebooks Anna Ng 108 ARTICLE 11 min Toward a Greener AI: Measuring the Carbon Footprint of a Deep Learning Model in Python Jean-Paul Maalouf Partner 4 NOTEBOOK Measuring the Carbon Footprint of a Deep Learning Model in Python Jean-Paul Maalouf Partner 6 VIDEO 00:05 Building the backend of meldR, an LXCP, with conda packages Katya Mijatovic ... Partner 5 WEBINAR Scaling conda: A Faster conda for a Growing Community Jannis Leidel 3 WEBINAR Scaling conda: A Closer Look at conda’s New libmamba Solver 4 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 23 ARTICLE 3 min Anaconda Acquires PythonAnywhere to Increase Python Accessibility and Adoption 8 ARTICLE 4 min Announcing PyScript Versioning: What You Should Know Fabio Pliger 8 WEBINAR Python Geospatial Tools Philipp Rudiger 59 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 14 WEBINAR Performance Tips for pandas 8 WEBINAR A Guide to Dask Collections 11 WEBINAR Scaling Up Python 15 WEBINAR Param: The most important Python library you've never heard of 17 DOCUMENT Dask for Parallel Computing Cheat Sheet Anaconda 5 VIDEO 00:22 Understanding Performance with Profiling 4 VIDEO 00:38 PyScript - Programming for Everyone: 2022 PyCon Keynote 8 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 28 items Explore All INSTRUCTOR-LED LEARNING Develop an End-to-End Machine Learning Model John Sukup 7 ARTICLE 1 min Developer Resources from Intel and Anaconda Intel and Anaconda Partner 16 ARTICLE 8 min Greener Machine Learning Computing with Intel AI Acceleration Valerio Maggio and Nikolay Petrov Partner 16 VIDEO 00:30 Greener Machine Learning with Intel: A Demo Valerio Maggio Partner 12 WEBINAR NLP Models for the Rest of Us 25 WEBINAR Machine Learning Modeling and Avoiding the Multiverse of Failures 80 WEBINAR Interpretable by Design: Building Explainable AI Models 31 WEBINAR ChatGPT and the Transformative Power of Large Language Models 68 ARTICLE 1 min State of Data Science 2022: Download the Raw Data Sophia Yang 71 WEBINAR Awkward Arrays: Working With Nontabular Data at Scale Martin Durant 11 VIDEO 00:03 How to run Stable Diffusion on a CPU with Anaconda Albert DeFusco 13 ARTICLE 11 min Toward a Greener AI: Measuring the Carbon Footprint of a Deep Learning Model in Python Jean-Paul Maalouf Partner 4 NOTEBOOK Measuring the Carbon Footprint of a Deep Learning Model in Python Jean-Paul Maalouf Partner 6 ARTICLE 21 min Ten Techniques for Machine Learning Visualization Pier Paolo Ippolito 26 ARTICLE 9 min Machine Learning Model Drift Sophia Yang 15 ARTICLE 12 min Machine Learning Model Interpretability and Explainability Sophia Yang 16 NOTEBOOK Introduction to Principal Component Analysis 102 VIDEO 00:28 The First Decade of PyData 11 VIDEO 00:25 Does Numerical Computing Have An Open Future? Anaconda's 10-Year Anniversary Celebration Panel 4 ARTICLE 6 min Creating Custom Image Datasets for Deep Learning Projects 3 WEBINAR 2022 Predictions: What’s Next in Data Science, AI, and ML? 20 WEBINAR Deploying Machine Learning to Apple Devices with coremltools 5 WEBINAR Fairness & Bias in AI/ML: It's Time to Do Better 4 VIDEO 00:04 OpenCV for Beginners - Enter the World of Computer Vision Partner 16 VIDEO 00:04 How to Build an Automator Tool to Reduce Content Development Time Partner 4 VIDEO 00:13 Ensemble Estimators with Dask-ML 3 VIDEO 00:08 Intro to Deep Learning Partner 28 ARTICLE 5 min An Introduction to MLOps Partner 15 MORE CONTENT 28 items Explore All PAGE Anaconda Repository News Sheetal Kalburgi 8 PAGE How to backup your Navigator environments on Anaconda Cloud 2 WEBINAR Scaling conda: Extending conda a New Plugin Ecosystem 3 WEBINAR Know Your Enemy: Vulnerability Data And What To Do With It 14 VIDEO 00:30 Rapid Adoption of OSS in Enterprise: Anaconda's 10-Year Anniversary Celebration Panel 9 VIDEO 00:32 Open Source Communities, Startups, and VC 7 WEBINAR Native Application Development with Python 13 WEBINAR Rising Threat: Securing Your Open-Source Software Pipeline 5 ARTICLE 5 min Build a Scikit-Learn Model Using Snowpark for Python 2 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 3 WEBINAR Flexible Monitoring Apps in Python 21 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 2 VIDEO 00:29 Deep Dive into Environments and Integration with IDEs 13 VIDEO 00:21 Working with R and Conda Forge 5 VIDEO 00:20 Introduction to Intake 4 VIDEO 00:09 Your First OSS Contribution 5 VIDEO 00:07 Dask in 7 Minutes Partner 4 VIDEO 00:21 Capturing your Python Code as a Reproducible, Deployable Project 4 VIDEO 00:10 Lifecycle of a Bug in pandas 2 ARTICLE 17 min A Python Data Scientist’s Guide to the Apple Silicon Transition Stanley Seibert 10 ARTICLE 5 min From Agriculture to Art, Four Unexpected Ways Data Science is Improving our World Anaconda Team 8 PAGE Intel-Optimized Packages Elize Koch Partner 2 ARTICLE 9 min Code, Community, Future — A year in review for Numba Valentin Haenel 3 VIDEO 00:06 Module 2 - Why Use a Virtual Conda Environment? 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