140 New Montgomery, 22nd Floor, San Francisco, CA
** HERE IS THE LINK TO RSVP: https://www.eventbrite.com/e/learning-jupyter-a-hands-on-night-at-bloomberg-tickets-29228488195
Please note: RSVP will stay closed at meetup.com, you MUST sign up using Eventbrite.
Join us to hear about Jupyter from Jamie Whitacre, Technical Project Manager for the Project Jupyter! Bring your laptop (better if charged, but not required) to get hands-on practice. We will help you install/update Jupyter in your system, if needed. We hope to offer something for beginners and non-beginners alike.
** Non-beginners are STRONGLY encouraged to pair up and/or TA. **
Join PyLadies at Bloomberg for an evening of knowledge sharing, installs, and data science! Jupyter, the evolution of IPython and the IPython Notebook, is a popular interactive computing environment used in data science and scientific computing. You will receive an overview of Jupyter's features and develop an understanding of when to use Jupyter and why. You will also learn about several intermediate topics including a preview of JupyterLab- the next evolution of the Jupyter ecosystem- and other projects in the development pipeline, how to install the R kernel, and how run Python and R in the same notebook.
The evening will begin with a short presentation then we'll dive into the hands-on portion where users will install Jupyter and get started with basic commands, visualizations, and keyboard shortcuts. Practice exercises will be available to attendees to work on during the evening and attendees are encouraged to work in pairs and small groups. Knowledge of GitHub and GitHub workflows is recommended but not required.
Experienced users are encouraged to volunteer as TAs for the evening! Please let us know in the comments section of the event's meetup page if you'd like to be a TA.
Jamie Whitacre is the Technical Project Manager for Project Jupyter (jupyter.org). She collaborates with Jupyter’s developers and open source community at large to define development strategy, advance feature work, and build community involvement. Jamie has more than 10 years of experience in scientific computing systems, informatics, and data analysis. Her specialties include integrating research data and systems, streamlining data workflows, cleaning data, and educating users about data tools and workflows.
Pizza and beverages will be served, thanks to Bloomberg!
While we aim to have an over-representation of women and those who identify as such in the audience, this event is open to anyone willing to abide to the PyLadies Code of Conduct