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This talk was presented at PyBay2018 - the Bay Area Regional Python conference. See pybay.com for more details about PyBay and click SHOW MORE for more information about this talk Abstract JupyterLab, the next generation of Jupyter Notebook, provides a high level of integration between notebooks, documents, and activities. It adds new functionality, including: - Drag-and-drop cells and between notebooks. - Run code blocks interactively from text files (.py, .R, .md, .tex, etc.). - Link a code console to a notebook kernel to explore code interactively without cluttering up the notebook with temporary scratch work. - Edit popular file formats with live preview, such as Markdown, JSON, CSV, Vega, VegaLite, and more. JupyterHub serves groups of users, whether data scientists, scientists, or students. Combining JupyterLab with JupyterHub improves the data science workflow and helps you increase productivity. Slides: https://goo.gl/SkkVBp Speaker Bio Carol is currently a Research Software Engineer at Cal Poly San Luis Obispo working full-time on Project Jupyter. She is also a a Python Software Foundation Fellow and former Director; a Project Jupyter Steering Council member; a core developer on CPython, Jupyter, AnitaB.org’s open source projects, and PyLadies; and a co-organizer of PyLadies San Diego and San Diego Python User Group. This and other PyBay2018 videos are brought to you by our Gold Sponsor Cisco!