04-28, 10:15–11:00 (America/Los_Angeles), Rainier
Do you wish there was an easier way to get started with Python? Cloud notebook services in general enable you to start coding in Python immediately—anytime and anywhere you have an internet connection. Don’t worry about setting up environments; with cloud notebooks, you can get started without any installation. Spin up your awesome data science projects directly from your browser with all the packages and computing power you need.
In this talk, I’ll show you how to use Anaconda Notebooks to quickly get started with Python in the cloud. Anaconda Notebooks is a managed Jupyter notebook service that enables you to quickly get coding anywhere without installing anything. Empowered by Intake, a data catalog library, Anaconda Notebooks offers a simple and consistent user interface for loading data, regardless of its format or location. All the data knowledge is consolidated in one place! What’s more? Pre-loaded with HvPlot, Panel, and many other data science packages, Anaconda Notebooks allows you to deploy your data visualization dashboards or data apps with only a few lines of code.
In this talk, you will learn how to:
- Create and run interactive notebooks with Anaconda Notebooks
- Use built-in environments and build customized environments based on your needs
- Utilize a simple user interface to load data, read data from existing data catalogs, and create your own data catalog to share your data with the world
- Turn an Anaconda Notebooks into a dashboard or a data app
No previous knowledge expected
Sophia Yang is a Senior Data Scientist and a Developer Advocate at Anaconda. She is passionate about the data science community and the Python open-source community. She is the author of multiple Python open-source libraries such as condastats, cranlogs, PyPowerUp, intake-stripe, and intake-salesforce. She serves on the Steering Committee and the Code of Conduct Committee of the Python open-source visualization system HoloViz. She also volunteers at NumFOCUS, PyData, and SciPy conferences. She holds an M.S. in Computer Science, an M.S. in Statistics, and a Ph.D. in Educational Psychology from The University of Texas at Austin.