November 7, 2019

230 words 2 mins read

Navigating the data science Python ecosystem

Navigating the data science Python ecosystem

Python's popularity for data science use cases has skyrocketed in recent years due to its ease of use, great developer and user community, and solid core of scientific libraries. Christine Doig explores data science and the state of the Python ecosystem and helps navigate the large amount of open source libraries available for data science in Python, providing a map to guide you on the journey.
Talk Title Navigating the data science Python ecosystem
Speakers Christine Doig (Continuum Analytics)
Conference O’Reilly Open Source Convention
Conf Tag
Location Austin, Texas
Date May 16-19, 2016
URL Talk Page
Slides Talk Slides
Video

Do you feel lost with terms like data science, machine learning, deep learning, neural networks, or supervised learning? Have you tried to start a data science project, but felt overwhelmed with all the libraries? Are you having trouble figuring out how to proceed? Have you heard of scikit-learn, Theano, Dask, xarray, Blaze, gensim, Bokeh, PyMC3, Numba, and Jupyter but don’t know what each library is for? This talk is for you. Christine Doig explores data science and the state of the Python ecosystem and helps navigate the large amount of open source libraries available for data science in Python, providing a map to guide you on the journey. You’ll learn what data science is and discover existing libraries, their functionalities, and applications. The talk will be divided in three sections:

guide ecosystem scikit-learn data science open source dask supervised network jupyter deep learning machine learning python neural network
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