In Git you can add a submodule to a repository. This is basically a repository embedded in your main repository. This can be very useful. A couple of advantages of using submodules:
- You can separate the code into different repositories.
This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.
###Array ####Definition:
" copy all this into a vim buffer, save it, then... | |
" source the file by typing :so % | |
" Now the vim buffer acts like a specialized application for mastering vim | |
" There are two queues, Study and Known. Depending how confident you feel | |
" about the item you are currently learning, you can move it down several | |
" positions, all the way to the end of the Study queue, or to the Known | |
" queue. | |
" type ,, (that's comma comma) |
require "uri" | |
require "net/http" | |
require 'base64' | |
require 'cgi' | |
require 'openssl' | |
HOST_KEY = "shienshenlhq" | |
def search_plate plate | |
hmac = OpenSSL::HMAC.hexdigest(OpenSSL::Digest.new('sha1'), HOST_KEY.encode("ASCII"), plate.encode("ASCII")) |
No, seriously, don't. You're probably reading this because you've asked what VPN service to use, and this is the answer.
Note: The content in this post does not apply to using VPN for their intended purpose; that is, as a virtual private (internal) network. It only applies to using it as a glorified proxy, which is what every third-party "VPN provider" does.
(A Russian translation of this article can be found here, contributed by Timur Demin.)
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of