George gjlondon

Getting Started in Scala

This is my attempt to give Scala newcomers a quick-and-easy rundown to the prerequisite steps they need to a) try Scala, and b) get a standard project up and running on their machine. I'm not going to talk about the language at all; there are plenty of better resources a google search away. This is just focused on the prerequisite tooling and machine setup. I will not be assuming you have any background in JVM languages. So if you're coming from Python, Ruby, JavaScript, Haskell, or anywhere… I hope to present the information you need without assuming anything.

Disclaimer It has been over a decade since I was new to Scala, and when I was new to Scala, I was coming from a Java and Ruby background. This has probably caused me to unknowingly make some assumptions. Please feel free to call me out in comments/tweets!

One assumption I'm knowingly making is that you're on a Unix-like platform. Sorry, Windows users.

Getting the JVM

Deconstruct 2017 Bibliography

Here are all of the resources mentioned by Deconstruct 2017 speakers, along with who recommended what. Please post a comment if I missed something or have an error!

DC 2017 Speakers' Choice Gold Medalist

Seeing Like a State by James Scott

Books

Public Opinion by Walter Lippmann (Evan Czaplicki)
A Pattern Language by Christopher Alexander (Brian Marick)
Domain Driven Design by Eric Evans (Brian Marick)

If you want to learn Scala, I’d suggest:

Install IntelliJ + Scala Plugin
Don’t do the Coursera courses yet.
Don’t do the “red book” Functional Programming in Scala yet.
Do: http://underscore.io/books/
- Essential Scala
- Essential Play
- Essential Slick
Do Scala for the Impatient: https://www.amazon.com/Scala-Impatient-Cay-S-Horstmann/dp/0321774094
The Neophyte’s Guide to Scala http://danielwestheide.com/scala/neophytes.html

Nteract tricks

To add a conda environment to the list of environments:

$ source activate thisenv
(thisenv) $ pip install ipykernel
(thisenv) $ python -m ipykernel install --user --name thisenv

	class UserLog(object):
	"""
	Simple log that will output specially formatted user id for logging
	purposes.

	-1 is used as a sentinal value to mean "no user". Otherwise, the user's `pk`
	attribute is logged instead.

	An explicit decision was made not to use a LoggerAdapter with a custom
	format string because if we attach it to something that isn't the logger

	def namedlist(typename, field_names):
	"""Returns a new subclass of list with named fields.

	>>> Point = namedlist('Point', ('x', 'y'))
	>>> Point.__doc__ # docstring for the new class
	'Point(x, y)'
	>>> p = Point(11, y=22) # instantiate with positional args or keywords
	>>> p[0] + p[1] # indexable like a plain list
	33
	>>> x, y = p # unpack like a regular list

	class NilClass
	def method_missing (*)
	nil
	end
	end

	from __future__ import division

	import numpy as np

	def multinomial_ci(counts, alpha):
	"""
	Calculate a simultaneous (1-alpha) * 100 percent confidence interval.

	Parameters
	----------

	http://courses.cms.caltech.edu/cs179/
	http://www.amd.com/Documents/GCN_Architecture_whitepaper.pdf
	https://community.arm.com/graphics/b/blog
	http://cdn.imgtec.com/sdk-documentation/PowerVR+Hardware.Architecture+Overview+for+Developers.pdf
	http://cdn.imgtec.com/sdk-documentation/PowerVR+Series5.Architecture+Guide+for+Developers.pdf
	https://www.imgtec.com/blog/a-look-at-the-powervr-graphics-architecture-tile-based-rendering/
	https://www.imgtec.com/blog/the-dr-in-tbdr-deferred-rendering-in-rogue/
	http://developer.amd.com/tools-and-sdks/opencl-zone/amd-accelerated-parallel-processing-app-sdk/opencl-optimization-guide/#50401334_pgfId-412605
	https://fgiesen.wordpress.com/2011/07/09/a-trip-through-the-graphics-pipeline-2011-index/
	https://community.arm.com/graphics/b/documents/posts/moving-mobile-graphics#siggraph2015