[TriEmbed] Learning Curve

[Christopher Svec]

Half of infinity is still pretty big... :-)
I hope that Burr can describe his interest or use case in this vat of vastness to help narrow things down.
 


     On Wednesday, April 15, 2015 9:42 AM, Glen Smith <mrglenasmith at gmail.com> wrote:
   

 "It's vast. One way to make it merely huge is to focus on open source hardware and software." -Pete

That makes it Half Vast. 

Glen

On Wed, Apr 15, 2015 at 9:39 AM, pete at soper.us <pete at soper.us> wrote:

There are a great many ecosystems. :-)It's vast. One way to make it merely huge is to focus on open source hardware and software. -Pete
----- Reply message -----
From: "Burr Sutter" <burrsutter at gmail.com>
To: "Christopher Svec" <christophersvec at yahoo.com>
Cc: "triembed at triembed.org" <triembed at triembed.org>
Subject: [TriEmbed] Learning Curve
Date: Wed, Apr 15, 2015 9:20 AM
I think that is a perfectly fair question...my focus is on learning at this time, trying to understand the overall ecosystem.  
On Wed, Apr 15, 2015 at 8:20 AM, Christopher Svec <christophersvec at yahoo.com> wrote:

Yes! I totally agree about the growth of our once-very-niche industry.
Another question to consider is "what are you trying to do or accomplish as an end-goal?", in addition to the "where to invest time & energy to learn" question.
You can spend the rest of your life testing & learning each new platform or dev board or widget that comes out - and there's nothing wrong with that at all! Especially if pure learning is your goal.
But is that what you're after?
(I'm a fan of frequently backing up and asking the big picture "why?" questions.)
-svec
 


     On Wednesday, April 15, 2015 8:05 AM, Burr Sutter <burrsutter at gmail.com> wrote:
   

 The world of embedded microcontrollers has seen some dramatic growth (from my perspective) and it is tough to figure out where to invest my learning time & energy.  

I have followed this path so far:1) Arduino2) Raspberry Pi3) Spark Core4) Intel Edison (just using it as a Linux box so far)5) TI SensorTagand played a bit with the NXP LPC1768 running mbed (http://mbed.org/)
Mostly I have been simply playing with the various "developer kits" where my mission is on detection and connection - trying to understand what can be sensed and how to get the data back to the cloud.
How do you all feel about mbed? Is that worthy of expending dozens/hundreds of hours of learning time? And if so, which of the various ARM/mbed-based hardware vendors are interesting to you?




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