There are lots of posts that talk about the internals of slices, but when it comes to maps, we are left in the dark. I was wondering why and then I found the code for maps and it all made sense.
At least for me, this code is complicated. That being said, I think we can create a macro view of how maps are structured and grow. This should explain why they are unordered, efficient and fast.
The first thing I did when I started programming in Go was begin porting my Windows utilities classes and service frameworks over to Linux. This is what I did when I moved from C++ to C#. Thank goodness, I soon learned about Iron.IO and the services they offered. Then it hit me, if I wanted true scalability, I needed to start building worker tasks that could be queued to run anywhere at any time.
At Ardan Studios we have spent the last 6 months, in our spare time and on weekends, building a consumer based mobile application called OutCast. The mobile application is tailored towards those who like spending time outdoors, whether that be fishing, hunting or any other type of activity.
This first release of OutCast shows the conditions for the buoy stations and marine forecasts areas within the United States. All this information is updated every 10 minutes and there are map views with traditional grids and search.
This is a guest post from Tad Vizbaras from Etasoft in South Florida. There are a number of editors and IDEs for Go development. LiteIde, Vim, Emacs and GEdit just to name a few. Each developer has their own favorite editor for each language they work with. Some like full featured IDE environments while others prefer speed over features. My personal favorite editors for Go development at the moment are Vim and GEdit.
GEdit comes as part of many Linux distros.
Linux is unique to Windows in many ways, and writing programs in Linux is no exception. The use of standard out, standard err and null devices is not only a good idea but it’s the law. If your programs are going to be logging information, it is best to follow the destination conventions. This way your programs will work with all of the Mac/Linux tooling and hosted environments.
Go has a package in the standard library called log and a type called logger.
I am working on a project that requires pulling and processing different XML feeds from the web and storing the data into MongoDB as JSON. Since new feeds come up everyday, changing the Go program to process and publish new feeds is out of the question. A second constraint is that processing has to work in Iron.io or any other linux cloud based environment.
What I needed was a Go program that could take an XML document and XSLT stylesheet at runtime, transform the XML into JSON and then store the JSON to MongoDB.
Introduction If you are using 3rd party packages, (packages that you don’t own or control), you will want a way to create a reproducible build every time you build your projects. If you use 3rd party packages directly and the package authors change things, your projects could break. Even if things don’t break, code changes could create inconsistent behavior and bugs.
Keith Rarick’s tool godep is a great step in the right direction for managing 3rd party dependencies and creating reproducible builds.