kennym

#!/usr/bin/env ruby
#
# Convert blogger (blogspot) posts to jekyll posts
#
# Basic Usage
# -----------
#
#   ./blogger_to_jekyll.rb feed_url
#
#  where `feed_url` can have the following format:

phaller

https://www.dropbox.com/s/uijb0smnki4sr7d/fast-track-to-akka-preparations.pdf
https://www.dropbox.com/s/99cuu37bnn5b3ip/fast-track-to-akka.pdf
https://www.dropbox.com/s/r9fl791ncp940n0/fast-track-to-akka-part2.pdf

SOLUTIONS:
My "official" solutions:
https://www.dropbox.com/s/tg3ki7itseydl93/training-akka-solutions.zip
The solutions I produced during the course (including all the extras):
https://www.dropbox.com/s/ywk5a134bhqroxf/solutions-course-version.zip

SzymonPobiega

If you have two days to learn the very basics of modelling, Domain-Driven Design, CQRS and Event Sourcing, here's what you should do:

In the evenings read the [Domain-Driven Design Quickly Minibook]{http://www.infoq.com/minibooks/domain-driven-design-quickly}. During the day watch following great videos (in this order):

1. Eric Evans' [What I've learned about DDD since the book]{http://www.infoq.com/presentations/ddd-eric-evans}
2. Eric Evans' [Strategic Design - Responsibility Traps]{http://www.infoq.com/presentations/design-strategic-eric-evans}
3. Udi Dahan's [Avoid a Failed SOA: Business & Autonomous Components to the Rescue]{http://www.infoq.com/presentations/SOA-Business-Autonomous-Components}
4. Udi Dahan's [Command-Query Responsibility Segregation]{http://www.infoq.com/presentations/Command-Query-Responsibility-Segregation}
5. Greg Young's [Unshackle Your Domain]{http://www.infoq.com/presentations/greg-young-unshackle-qcon08}
6. Eric Evans' [Acknowledging CAP at the Root -- in the Domain Model]{ht

pbailis

Context: I was asked for a list of interesting reading relating to "distributed databases, behavior under partitions and failures, failure detection." Here's what I came up with in about an hour.

For textbooks, "Introduction to Reliable and Secure Distributed Programming" is a superb introduction to distributed computing from a formal perspective; it's really not about "programming" or "engineering" but about distributed system fundamentals like consensus, distributed registers, and broadcast. Used in Berkeley's Distributed Computing course (and HT to @lalithsuresh) Book Site

Notes from courses like Lorenzo Alvisi's Distributed Computing class can be great.

There are a bunch of classics on causality, [Paxos](ht

macintux

• https://ferd.ca/a-distributed-systems-reading-list.html
• http://the-paper-trail.org/blog/distributed-systems-theory-for-the-distributed-systems-engineer/
• https://github.com/palvaro/CMPS290S-Winter16/blob/master/readings.md
• http://muratbuffalo.blogspot.com/2015/12/my-distributed-systems-seminars-reading.html
• http://christophermeiklejohn.com/distributed/systems/2013/07/12/readings-in-distributed-systems.html
• http://michaelrbernste.in/2013/11/06/distributed-systems-archaeology-works-cited.html
• http://rxin.github.io/db-readings/
• http://research.microsoft.com/en-us/um/people/lamport/pubs/pubs.html
• http://pdos.csail.mit.edu/dsrg/papers/
• http://scalingsystems.com/2011/09/07/reading-list-for-distributed-systems/

edlich

VIM and Clojure:
The current steps might be (intended for vim beginners).

0A. Install Pathogen for easy vim installation (optional)
- https://github.com/tpope/vim-pathogen
- http://www.vim.org/scripts/script.php?script_id=2332

0B. Install new version of static runtime editing (optional, only if latest version is needed)
- https://github.com/guns/vim-clojure-static

joost-de-vries

a semigroup is addable

a monoid is foldRightable or aggregatable
(ie addable, zero)

a functor is mappable
 
a monad is chainable or flatmappable

strong suit of monads:

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

lttlrck

git branch -m old_branch new_branch         # Rename branch locally    
git push origin :old_branch                 # Delete the old branch    
git push --set-upstream origin new_branch   # Push the new branch, set local branch to track the new remote

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

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This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

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