A curated list of tutorials. Built by astronomers, for astronomers.
Created by Arna Karick (@drarnakarick) following Astro Hack Week 2016. Based on Adrian–Price Whelan (@adrianprw), Dan Foreman–Mackey (@exoplaneteer), and Ben Nelson's Urban Goggles Astro Hack Week 2016 project (@AstroHackWeek)
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).
Developed by the Astronomy Data & Computing Services (@AdacsAus) team for the 2017 Astronomical Society of Australia (ASA) Annual Meeting.
Developed by the Astronomy Data & Computing Services (@AdacsAus) team for the ANITA Astroinformatics Summer School.
Developed by Scott Thomas for .Astronomy8 (@dotastronomy) Day Zero.
Tutorials from the IPS/NAOJ Data to Dome workshop, held March 2-3, 2017 on the NAOJ campus.
A series of videos demonstrating one approach to reproducible data analysis within the Jupyter notebook. Thanks to Jake VanderPlas from UW's e-Science Institute for creating these. Follow Jake's blog Pythonic Perambulations for more tips and tricks.
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Nadieh Bremmer is an astronomer turned data visualisation designer. She specialises in uniquely crafted data visualisations, captivating data art, design advice & speaking. Her website Visual Cinammmon, is chock full of useful resources.
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.
A great resource for mining text in R. It contains several case studies to work through. One focusses specifically on NASA metadata.
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In this tutorial, Jean-Nicholas Hould shares how he scraped the craft beer dataset he published on Kaggle for anyone to enjoy and analyze. The tutorial uses urlopen, BeautifulSoup4, pandas, and re for regular expressions.
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.
A podcast on data visualization presented by Enrico Bertini and Moritz Stefaner
A great little data visualisation tutorial for those who want to learn R
ThinkToStart is a blog focusing on the topics data science and R.
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Git Going with .draft
.draft is a free cloud-based service that creates a PDF highlighting changes made to your TeX file. It's integrated with GitHub so that when you push changes or create a pull request, .draft will link to the PDF either by a commit comment or through the GitHub Integrations API.
simbad the bot
A Twitter bot that tweets multi-wavelength GIFs of random astronomical objects every few turns of the hour-glass. Serendipitously explore the sky.
friendly Virtual Radio Iinterferometer (VRI)
The Friendly Virtual Radio Interferometer (VRI) is designed to simulate astronomical observations using linked arrays of radio antennas in a technique called earth rotation aperture synthesis. Built with Python. Published with GitHub Pages.