Data mining is an interdisciplinary subfield of computer science used to discover patterns in complex datasets. The field has been widely studied since the 70’s since it can produce useful insights that can help to better understand underlying relationships and trends in data sets.
Ever wonder what’s going inside that noggin of yours when you experience a moment of insight that leads to a creative solution? I’m familiar with creativity and exercises to get those creative juices flowing, but, until recently, I hadn’t spent much thought, or any at all really, on the cognitive neuroscience of creativity – the neural connections and mental processes that occur during a creative episode.
I had the privilege of attending this year’s San Francisco Smashing Conference in early April where I listened to presentations from founders, designers, and front-end developers.
Due to the recent increase of personnel at Grio, it emerged the need of having an automated way of setting up new employers’ machines.
Starting with a brand new machine is always a pain for a developer, and setting it takes at least a couple of days if not the whole first week, resulting in big waste of valuable time. Besides, when a developer starts on a new technology it is not always clear which tools are suggested and which ones the rest of the team are using. Therefore, I have been asked to work as a side project on a way to solve such issues.
Most projects you will work on will have a database of some sort. For this reason, optimizing your queries allows you to use all that the database provides without having your application try to reinvent the wheel. In this blog, I’ll be using Postgres and Ruby on Rails to demonstrate some ways that you can optimize things. Much of the second section is Postgres specific, but the concepts should apply to whatever ORM you are using. Hopefully by the end you will have learned some new tricks to improve your project.
Healthcare in the United States costs far more than in any other country in the world, and yet the quality of the care Americans receive is rated 11th among first world countries. The high price of healthcare burdens employers, increases the national debt, and historically has left many without access to healthcare. We all want cheaper, better healthcare, but it is difficult to agree on specifics of how to get there. Why is healthcare so expensive?
In a previous blog post, I covered the “textbook” definition of continuous integration, along with a handful of tools and practices that fulfill or help to fulfill said definition. These tools and practices include breaking up your app into components (e.g. front-end and back-end, or, for much larger projects, using microservices), utilizing “watch” utilities locally to iteratively run tests, and choosing test-oriented frameworks (e.g. Rails, Django, Grails, etc.). However, I didn’t talk much about any specific continuous integration setup, nor some of the third-party services that go together to make an efficient release process. I also didn’t talk much about how continuous integration fits into the larger cycle of deployment and release management. I aim to cover some of those topics here, and fill in the larger picture of how CI helps to ensure code quality and stability in a software project.