Explore and download data from MAST using the MAST API or astroquery library. Tutorial created by Ivelina Momcheva (@iva_momcheva). MAST API and astroquery modules developed by Clara Brasseur (@cebrasseur).Read More
The Journal of Open Source Software (JOSS) recently published a review of its first-year of operations; from initial conception through to the current editorial process and future plans. As of May 2017, the journal has published 111 software articles, with an additional 41 under consideration.
Andreas Mueller, lecturer at the Data Science Institute at Columbia University shares his thoughts on the current and future state of Jupyter. He will also be speaking at JupyterCon, August 22-25, 2017, in New York City.Read More
Companies new to the space can learn a great deal from early adopters who have invested billions into AI and are now beginning to reap a range of benefits. In this independent discussion paper, we examine investment in artificial intelligence (AI), describe how it is being deployed by companies that have started to use these technologies across sectors, and aim to explore its potential to become a major business disrupter.Read More
The University of Washington recently launched a new Data Intensive Research in Astrophysics & Cosmology (DIRAC) Institute. The DIRAC Institute is a world leading, interdisciplinary research centre that addresses fundamental questions about the origins and evolution of our universe.Read More
To accelerate the pace of open machine-learning research, Google is developing the TensorFlow Research Cloud, a cluster of 1,000 Cloud TPUs that will be made available free of charge to support a broad range of computationally-intensive research projects.
The UK Royal Society recently published its major science policy report on Machine learning: the power and promise of computers that learn by example.Read More
Tutorials from the IPS/NAOJ Data to Dome workshop, held on March 2-3, 2017 at the NAOJ campus in Tokyo.Read 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.
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The official Planet Labs blog. For all your space satellite and imagery news. You can also follow Planet Labs on Twitter @planetlabs.Read More
In this tutorial, Jean-Nicholas Hould shares how he scraped the craft beer dataset he published on Kaggle. The tutorial uses urlopen, BeautifulSoup4, pandas, and re for regular expressions.Read More
A six-week course developed by astronomers at the University of Sydney. The course covers big-data algorithms, querying data with SQL, managing data, regression and classification techniques.Read More