A few years ago, I woke up and took a look at my work calendar. Back-to-back meetings from 10am to 5pm. Sigh. I rolled out of bed, checked to make sure neither of my kids were awake yet, and pulled my laptop out. Starting at the file that was open in Sublime, I quickly found a few lines of unused code to delete. Within fifteen minutes, I had opened three pull-requests, each deleting anywhere from 10–50 lines of unused code. Sigh.
When I met with my manager for our weekly 1:1 later that day, I mentioned what I had done. He gave me a look, and said—critically but kindly—“is that really the best use of your time?”
I’m currently a student in Bloc’s Part-time Web Development course. And I work full time where I lead a team of 8. And I have an adorable puppy that I’m solely responsible for. And about once a month I volunteer for an emotional intelligence workshop for about 30 hours over a single weekend. Oh and I’m training for my first marathon later this year.
So what’s a day in my life look like?
Data science, being the young field that it is, has a ton of avenues for entrance. Specifically, women and minorities are approaching this field from both traditional and non-traditional paths.
This many part series will focus on women/non-binaries in data science and how they got to where they are.
Currently, I am a Senior Data Scientist working at a Cyber security firm called Cybraics, Inc, so I’ll start with my story. It begins in high school with an amazing Trig teacher and a girl who wouldn’t stop teasing me.
When it comes to women in the workforce, it’s a fairly well-known fact that information security does a pretty terrible job of increasing the ratio of women to men. At last count, only 11% of security professionals were women. When comparing that to women in technology on the whole (multiple sources put it at ~25%), you’re looking at less than half of what’s already a shoddy percentage.
Do’s & Don’ts: For video conferencing does not a remote culture make.
. . .
Trade sitting in traffic for latte’s at your local posh cafe while organizing your backlog on Trello.☕️
Swap yucky uncomfortable pants for your favorite pajama bottoms while negotiating with clients via video.💃
Reject your cube and get a tan by the pool while chatting about the next release on Slack.👙
. . .
Have you heard of the Lean Startup? If you’ve been reading up on entrepreneurship, or you’re interested in getting into software, you’ve probably been unable to avoid it. It’s a philosophy about how to build and launch products that people actually want to use. The basic premise is:
Make something tiny. Launch it. Get feedback from your intended audience. Do it again. Gradually iterate your tiny product into a bigger, more comprehensive product over time. Don’t spend a year putting together something in isolation until you think it’s perfect, and then launch it to the world expecting it to resonate with your intended audience. It probably won’t.
Originally posted 4/3/17 by Kate Rabinowitz with the DC Policy Center.
With a new proposed Data Policy, release of high profile datasets on topics like 311 and taxicabs, and Open Government Advisory Group, the D.C. Government looks interested in moving up the ranks of open data cities. This is good news for policymakers, businesses, and citizens. But with open data comes the duty to use it responsibly.
This doesn’t always happen. A recent example is an analysis of pedestrian safety that declared that the most dangerous neighborhoods for pedestrians are largely located in and around Capitol Hill, accounting for 21 percent of pedestrian traffic complains within the top 10 neighborhoods (see below).
Capitol Hill and surrounding neighborhoods in top 10 for reported neighborhood issues, according to Vision Zero data
Recently, there has been a large push for companies to hire more women into tech roles. While that is great, I think the root of the problem lies in the lack of exposure at an early age.
Seeing where the internet is today, it's hard to believe that it was born in my life time. While I had Myspace, Xanga (yes, that was a thing) and new AIM screen name weekly, I was never exposed to the idea that I could be the one to build those platforms and technologies. I was naive and simply took them for granted, never giving thought to the fact that humans were behind it.
Originally posted 5/28/16 by Judy Hsu Romano on her blog. Formatting of code styles much easier to read on original post!
I'm using spring boot with JPA and a MySQL backend database with several JSON columns. The following is the JSON converter class used to save and retrieve data to the JSON column. This article helped a lot.
If you happen to read the news in any form or fashion over the last year you’ll know that bots are having a moment. It’s the future! The bots are taking over! There are bots to buy clothes, to check your bank account, to buy insurance. Bots to diagnose health concerns. Even bots to deliver pizza.
But what exactly is a bot? Are they hard to make? Say you yourself want to kick the tires of building a bot and not sure where to start? Well have no fear! Here’s an introduction to bots and quick, easy, free ways to get started.
About our blog:
This blog (like Flock) was formed to amplify the voices of underrepresented technologists and help all of us fly higher together.