A talk by Mario Juric (@mjuric) on the LSST Science Platform delivered at the joint LSST Science Collaboration Chairs' Meeting – July 2017Read More
GitHub repository for the book "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python."
This is the first major release of the Jupyter Notebook since version 4.0 and the "Big Split” of IPython and Jupyter. This release adds some long-awaited features, such as cell tagging, customizing keyboard shortcuts, copying & pasting cells between notebooks, and a more attractive default style for tables. It also comes with many improvements and bug fixes.
Jake VanderPlas, Senior Data Scientist and Director of Research recently published the Python Data Science Handbook. This is a detailed guide to the most important Python tools for data science, covering IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn, and other tools.Read More
Sharpen your SQL and Python skills—no need to install any software or set up a dev environment. Mode Analytics tutorials use real-world data and are free. No coding experience necessary.Read More
Around this time last year BIDS fellow Katy Huff launched her new book Effective Computation in Physics: Field Guide to Research in Python, written with her co-author Anthony Scopatz and published through O’Reilly. Worth checking out if you haven't already.Read More