We have all seen it happen in the movies. A person walks into a room and says “lights” and the lights in the room come on. Sometimes, these fictional characters can operate their computer through an interface built into the kitchen table while they have their morning coffee. Then, there is the character that pulls up a 3-D display in mid-air then interacts with it, molding and shaping the data with simple gestures. 10 years ago this may have just been fiction, but with today’s computer interface advances, some of these “fictions” are quickly becoming a reality. The MIT Technology review wrote an article that highlights some of the interfaces that will someday become mainstream. Let’s take a look at some of the highlights.
Advanced robotics sounded like a sci-fi enterprise a mere decade ago, and now we're living in a time where engineers create things we thought we'd never see. While some of this falls under robots demonstrating amazing physical prowess in rough terrain, developments are underway to do more complex things.
Security is vital to the devices on the IoT, and too often it's not strong enough. Botnets grab up connected devices that aren't properly secured. When in industry play critical safety roles, the stakes are even higher. A compromised device regulating a machine could make it catch fire. A dangerous condition could go unreported, or false alarms could draw attention and resources away from real problems. These devices need to aim for six sigma security — 99.999996% defect-free operation. Meeting this need will require a radically new approach to their software.
Moore's Law, in its popular form, says that computing power doubles every two years. For a long time it's been true, but exponential growth can't continue forever. The trend is slowing down.
In 1968, there was a bright high school student who learned about this new thing called “computer programming.” The school had a teletype connection to a college computer, and a speaker from the college came to talk about a brand-new programming language called BASIC. The student spent many days after school in the teletype room, creating code on a big roll of yellow paper and trying things out. His programs predicted basketball scores based on past games, set up computer dating, and played Mancala.
Now that you’ve decided that a coding bootcamp is for you, how are you going to pay for it? Luckily we have many options you can choose from.
Tech is red hot; there's no other way to put it. There's just not enough qualified candidates to meet demand in the world of programming, and that's a situation that is expected to continue for at least a few years. That's great news for job seekers, as it means great salaries right out of the gate. If you want to get a taste of the possibilities, check out these top-paying jobs for tech workers with programming skill.
ne of the great things about learning to code Python is that you’ll you be in demand. In fact, most large companies use Python in some form or another. So after you graduate from our 20-week coding bootcamp (starting February 21), you’ll be able to start looking for a job as a junior programmer. And while you might have to work your way up to the exact company you want to work for, there’s a good chance that you can find a job in your favorite industry. After all, Python is used for finance, web applications, hospital record keeping, and in just about every industry...including the film industry.
Today we’re going to take a look at some reviews from those who have been through our coding classes. What do they love? Efficiency!
Quantum computing is a strange and charming discipline. In normal computing we have bits. They're 1 or 0. Quantum computing has qubits. Like Noah, you might ask, "What's a qubit?" It's a bit that’s like Schroedinger's cat, which can be alive and dead at the same time. It can be 1, 0, or both at once.
What does it take to bring a software idea to life? Lots of skilled development work. The initial idea is vital, but as Thomas Edison once said, "Two percent is genius, and ninety-eight percent is hard work." Someone devises an idea, such as blockchains, augmented reality, the World Wide Web, or social networks. Turning it into a deliverable product takes the work of designers, software developers, and testers. Lots of work.