RabbitMQ bindings for Lua

“The amqp.lua package adds support for sending messages to RabbitMQ via LuaJIT FFI. This allows a Lua programmer to communicate with other programs using enterprise grade messaging infrasturcture. The module amqp.lua makes use of LuaJIT’s awesome foreign function interface (FFI) to invoke the librabbitmq’s functions directly. It exposes a simplified interface to librabbitmq natively, but also preserves the ability of an intrepid programmer to use the full depth of the upstream library…”

https://github.com/cthulhuology/amqp.lua

Common Pitfalls in Writing Lock-Free Algorithms

“Formally, a multi-threaded algorithm is considered to be lock-free if there is an upper bound on the total number of steps it must perform between successive completions of operations.
The statement is simple, but its implications are deep – at every stage, a lock-free algorithm guarantees forward progress in some finite number of operations. Deadlock is impossible…”

http://developers.memsql.com/blog/common-pitfalls-in-writing-lock-free-algorithms/

 

Pragmatic Lua Basics in 30 Minutes

“However, Lua is not considered as a mainstream language and it does not have hype of some languages, say Ruby, so there are not a lot of tutorials, especially the quick introduction of the language for programmers of other language. So I decide to write one. I have to say I am by no means a Lua expert (You probably figure that out already), so please correct me for if I make any mistake. Also, this is an pragmatic introduction to the language for (experienced) programmers. So I am not gonna spend time on programming basics…”

http://ruoyusun.com/2013/03/23/pragmatic-lua-basics-in-30-mins.html
http://ruoyusun.com/2013/03/30/pragmatic-lua-error-handling-oop-closure-and-coroutines.html

Getting Started with Python for Data Scientists

“With the R Users DC Meetup broadening its topic base to include other statistical programming tools, it seemed only reasonable to write a meta post highlighting some of the best Python tutorials and resources available for data science and statistics. What you don’t know is often the hardest part of picking up a new skill, so hopefully these resources will help make learning Python a little easier. Prepare yourself for code indentation heaven.

Python is such an incredible language because it can do practically anything, from high performance scientific computing to web frameworks such as Django or Flask.  Python is heavily used at Google so the language must be doing something right. And, similar to R, Python has a fantastic community around it and, luckily for you, this community can write. Don’t just take my word for it, watch the following video to fully understand…”

http://datacommunitydc.org/blog/2013/03/getting-started-with-python-for-data-scientists/