Bibliography

Introduction, general reading

  1. [BRZ 17] BRZUSTOWICZ M., Data Science with Java: Practical Methods for Scientists and Engineers, O’Reilly Media, Sebastopol, CA, 2017.
  2. [CRO 14] CROLL A., If Hemingway Wrote JavaScript, No Starch Press, San Francisco, 2014.
  3. [DSC 15] DSC, “The free big data sources everyone should know”, available at: http://www.datasciencecentral.com/profiles/blogs/the-free-big-data-sources-every-one-should-know, 2015.
  4. [ICS 16] ICSU, “Open data in a big data world”, available at: https://www.icsu.org/publications/open-data-in-a-big-data-world, 2016.
  5. [NIC 89] NICAR, “Archives”, available at: http://ire.org/nicar/, 1989.
  6. [NUS 06] NUSPHERE, “Core JavaScript Reference”, available at: http://www.nusphere.com/kb/jscoreref/index.html, 2006.
  7. [VAN 16] VANDERPLAS J., Python Data Science Handbook: Essential Tools for Working with Data, O’Reilly Media, Sebastopol, CA, 2016.

Core JavaScript

  1. [BYN 12] BYNENS M., “JavaScript properties”, available at: https://mathiasbynens.be/notes/javascript-properties, 2012.
  2. [COG 11] COGLAN J., “Translation from Haskell to JavaScript”, available at: https:// blog.jcoglan.com/2011/03/05/translation-from-haskell-to-javascript-of-selected-portions-of-the-best-introduction-to-monads-ive-ever-read/, 2011.
  3. [CRO 08] CROCKFORD D., JavaScript: The Good Parts, O’Reilly Media, Sebastopol, CA, 2008.
  4. [CRO 10a] CROLL A., “Curry: cooking up tastier functions”, available at: https://javascriptweblog.wordpress.com/2010/04/05/curry-cooking-up-tastier-functions/ ...

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