3D printing is the process of creating a three-dimensional object by adding many layers of material together. This process is performed by a computer controlled machine commonly called a 3D printer. This article will primarily be discussing the Fused Deposition Modeling(FDM) method of 3D printing. Most FDM printers will heat up plastic and push it out from a nozzle. This process is called extruding.
Data visualization projects are probably what first drew me to software. I loved the idea of creating tools with beautiful interfaces that allowed people to see, interact, and play with big systems and concepts that are ordinarily hidden from view. Our lives are shaped and shaken by complex forces; making them tangible is a potent challenge, and one that really speaks to me.
In this post, I’d like to talk about some of the ways data visualization holds utility as a means of democratizing systems thinking, some considerations for how this can be effectively achieved, and how we might think of data visualization as a tool in our kit when approaching Big Serious Complex Problems.
Open Source software is ubiquitous today as a popular way to distribute software freely within the community. However, software licensing that is built on top of intellectual property laws is easy to overlook. Github shows that the percentage of their licensed public repositories has never passed 25% since 2009. Understanding these licenses and making the correct decision for a program can transform them into tools that can help creators’ intentions and goals for a project.
Kotlin is a JVM language that hit version 1.0 about a year ago (February 2016).
It is developed by JetBrains, the same people who make my favorite suite of
IDEs. The language itself is open-source under the Apache License 2.0 and is
developed as a community project over at kotlinlang.org. Kotlin is something
that I have become rather excited about over the past year. This post’s goal is
not to teach you Kotlin but to get you excited about it!
Machine learning (a field of artificial intelligence) is a rapidly expanding technology that we see in use more and more in our daily lives. It is used to give us more accurate results when we do an internet search, suggest products to us when we are shopping, and offer diagnoses to our maladies.
When developing websites it is important to consider your audience and how they interact with your application. This can be even more significant for a person with disabilities. Even the most stunning visual presentation can lose its value when the content cannot be interpreted by an individual due to, for example, a learning disability or difficulty seeing. Therefore, it is important, when doing any development or design, we do not dismiss the 1 in 5 people that would benefit on an accessible web.
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.
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.
At some point in March I received an email stating that I had roughly $40 in DigitalOcean (referral link – get $10 credit!) credit which was going to expire on the first of May. I wanted to do something cool, learn new things, and leverage a large portion of my remaining credits.
My initial plan was to spin up a CoreOS cluster, as it is something that I have had my eye on. Once running I would get Kubernetes running for management/orchestration of deployed applications. During this journey I learned a lot of new things, had a lot of fun, and even got a cool cluster running. However, I never made it to the end goal of Kubernetes in time for my presentation (and this post). Looking back, I don’t consider this to be defeat: I learned a lot of new concepts along the way. I can be certain that I will leverage and use that knowledge in the future too!