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Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications. This is our second time visiting Bokeh, in preperation for the v2.0 release!
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RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de Open Source Directions hosted by OpenTeams.
AUTRES ÉPISODES DANS CE PODCAST
Jupyter Book lets you build an online book using a collection of
Jupyter Notebooks and Markdown files. Its output is similar to the
excellent Bookdown tool, and adds extra functionality for people
running a Jupyter stack.
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Lale is a Python library for semi-automated data science. Lale makes it easy to
automatically select algorithms and tune hyperparameters of pipelines that are
compatible with scikit-learn, in a type-safe fashion. If you are a data scientist
who wants to experiment with automated machine learning, t…
STUMPY is a powerful and scalable library that efficiently computes something called
the matrix profile, which can be used for a variety of
time series data mining tasks such as: pattern/motif
(approximately repeated subsequences within a longer time series) discovery,
anomaly/novelty (discord) dis…
Originally a port of the R package, pyjanitor has evolved from a set of convenient data cleaning
routines into an experiment with the method chaining paradigm. Data preprocessing usually consists
of a series of steps that involve transforming raw data into an understandable/usable format.
…
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