- Exact Maximum Clique for Large or Massive Real Graphs — explanation of how BBMCSP works.
- Giving Robots and Prostheses the Human Touch — the team, led by mechanical engineer Veronica J. Santos, is constructing a language of touch that both a computer and a human can understand. The researchers are quantifying this with mechanical touch sensors that interact with objects of various shapes, sizes, and textures. Using an array of instrumentation, Santos’ team is able to translate that interaction into data a computer can understand. The data is used to create a formula or algorithm that gives the computer the ability to identify patterns among the items it has in its library of experiences and something it has never felt before. This research will help the team develop artificial haptic intelligence, which is, essentially, giving robots, as well as prostheses, the “human touch.”
- boltons — things in Python that should have been builtins.
- Everything We Wish We’d Known About Building Data Products (DJ Patil and RusJan Belkin) — Data is super messy, and data cleanup will always be literally 80% of the work. In other words, data is the problem. […] “If you’re not thinking about how to keep your data clean from the very beginning, you’re fucked. I guarantee it.” […] “Every single company I’ve worked at and talked to has the same problem without a single exception so far — poor data quality, especially tracking data,” he says.“Either there’s incomplete data, missing tracking data, duplicative tracking data.” To solve this problem, you must invest a ton of time and energy monitoring data quality. You need to monitor and alert as carefully as you monitor site SLAs. You need to treat data quality bugs as more than a first priority. Don’t be afraid to fail a deploy if you detect data quality issues.
Start writing shorter and less bug-prone Python code.
It is hard to get a consistent opinion on just what functional programming is, even from functional programmers themselves. A story about elephants and blind men seems apropos here. Usually we can contrast functional programming with “imperative programming” (what you do in languages like C, Pascal, C++, Java, Perl, Awk, TCL, and most others, at least for the most part). Functional programming is not object-oriented programming (OOP), although some languages are both. And it is not Logic Programming (e.g., Prolog).
I would roughly characterize functional programming as having at least several of the following characteristics:
- Functions are first class (objects). That is, everything you can do with “data” can be done with functions themselves (such as passing a function to another function). Moreover, much functional programming utilizes “higher order” functions (in other words, functions that operate on functions that operate on functions).
- Functional languages eschew side effects. This excludes the almost ubiquitous pattern in imperative languages of assigning first one, then another value to the same variable to track the program state.
- In functional programming we focus not on constructing a data collection but rather on describing “what” that data collection consists of. When one simply thinks, “Here’s some data, what do I need to do with it?” rather than the mechanism of constructing the data, more direct reasoning is often possible.
Functional programming often makes for more rapidly developed, shorter, and less bug-prone code. Moreover, high theorists of computer science, logic, and math find it a lot easier to prove formal properties of functional languages and programs than of imperative languages and programs.
Get inspired to create, teach, and learn with the Raspberry Pi.
The Raspberry Pi is a small computer that can be used for a variety of projects, and has been heralded as a great boon to education due to its flexibility and simplicity. While PcPro magazine noted in January of 2014 that Pi’s were “gathering dust” in classrooms, production has not ceased. The usage map is pretty impressive and the Raspberry Pi 2 was recently released.
In February of this year, the Raspberry Pi Foundation announced that they’re starting a mentoring program for people 16-21 years old. Here are four other ways that the Pi is being used in education and growing the tech community.
Improve your odds with the lingua franca of computing.
A boring old C-style language just like millions of developers learned before you, going back to the 1980s and earlier. It’s not flashy, it’s usually not cutting edge, but it is smart. Even if you don’t stick with it, or program in it on a daily basis, having a C-style language in your repertoire is a no-brainer if you want to be taken seriously as a developer.
Meg Blanchette interviews Continuum's Peter Wang about the growing role of OSS in the enterprise.
If you attend OSCON this year, you may notice a bit more attention paid to the enterprise side of tech. That is on purpose, as we have been noticing the open source and enterprise worlds edging closer and closer. Companies traditionally nervous about open source are either recognizing the inherent value, or their developers are using it and they don’t even realize. Open source is, in turn, seeing the benefits an established company can bring a project and the various opportunities available.
In that spirit, I spoke with Peter Wang, from Continuum Analytics. Continuum is a good example of this new hybrid — offering open source technology, while also having an enterprise side. Here, we discuss the changing landscape and what that can mean for people who embrace change, and for those who don’t.
Maintaining a focus on fun and interactivity keeps students engaged and enthused while learning Java.
I consider myself extremely fortunate to be involved with Devoxx4Kids, a Not-for-Profit, 501(c)(3) registered organization in the U.S., whose goal is to deliver Science Technology Engineering Mathematics (STEM) workshops to kids at an early age around the world. We delivered over 40 workshops in the U.S. alone last year on topics ranging from Python, Scratch, and Minecraft modding to NAO robots, Raspberry Pi, Arduino, and Little Circuits. Globally, we’ve delivered over 350 workshops and connected with approximately 5,000 students, with over 30% girls. Attendees from these workshops often leave with unique and inspirational stories to share. Read more…
Python's simplicity makes it accessible to learners and teachers alike.
Download a free copy of Python in Education. Editor’s note: this is an excerpt from Python in Education, a free report written by Nicholas Tollervey.
I am going to answer a very simple question: which features of the Python language itself make it appropriate for education? This will involve learning a little Python and reading some code. But don’t worry if you’re not a coder! This chapter will hopefully open your eyes to how easy it is to learn Python (and thus, why it is such a popular choice as a teaching language).
When I write a to-do list on a piece of paper, it looks something like this:
Shopping Fix broken gutter Mow the lawn
This is an obvious list of items. If I wanted to break down my to-do list a bit further, I might write something like this:
Shopping: Eggs Bacon Tomatoes Fix broken gutter: Borrow ladder from next door Find hammer and nails Return ladder! Mow the lawn: Check lawn around pond for frogs Check mower fuel level
Intuitively, we understand that the main tasks are broken down into sub-tasks that are indented underneath the main task to which they relate. This makes it easy to see, at a glance, how the tasks relate to each other.
Software engineer and author Jason Myers on changing roles in a changing market.
We often hear about how the tech job market is booming and has space for newcomers, but what does that mean for the developers already in the market? In December of 2014, Fortune.com predicted that 2015 would be an excellent year for developers to change jobs. Citing Dice.com, they note that jobs are popping up all over the country. In fact, Dice’s survey also reports 40% of hiring managers seeing voluntary departures, a higher number than was seen just six months earlier.
These are all large, general numbers. What does a job change, and the changing market, look like for individual developers? To get a better sense, I spoke with Jason Myers, who is working on our upcoming Essential SQLAlchemy, 2e title. Jason recently went from working for the email marketing service Emma, Inc., to working for networking giant Cisco. Here, he talks about how a change like that feels, and how the market looks to him.