[TriEmbed] Learning Curve

Glen Smith mrglenasmith at gmail.com
Wed Apr 15 08:42:20 CDT 2015


"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) Arduino
>> 2) Raspberry Pi
>> 3) Spark Core
>> 4) Intel Edison (just using it as a Linux box so far)
>> 5) TI SensorTag
>> and played a bit with the NXP LPC1768 running mbed ( <http://mbed.org/>
>> 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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>>
>>
>>
>
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