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September 10th, 2015 The Jupyter Notebook is a fantastic tool that can be used in many different ways. Because of its flexibility, working with the Notebook on data science problems in a team setting can be challenging. We present here some best-practices that SVDS has implemented after working with the Notebook in teams and with our clients. The need to keep work under version control, and to mai
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We are excited to announce the release of version 0.5 of Bokeh, an interactive web plotting library for Python! This release includes some major new features: support for Widgets and Dashboards, preliminary integration of Abstract Rendering for big data visualization, and a new schematic bokeh.charts interface for very high level statistical charting. Additionally, tighter Pandas integration makes
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The Jupyter Notebook¶ (Formerly known as the IPython Notebook)¶ The IPython Notebook is now known as the Jupyter Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. For more details on the Jupyter Notebook, please see the Jupyter website. © Copyright the IPython development team. Python is trademark of the
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