I transitioned from Excel to Python for running basic calculations and simulations a few months back. And it works great! Tons of great modules(matplotlib and numpy are a must) and more than anything its fast as hell. And by fast I mean 50 million points in a few secs and it can plot them without stuttering too!
True, it's not exactly a simulation tool, you've got to spend a little time thinking about how to run the simulation but once thats out of the way, it's all smooth sailing.
PS: I used PSoC Creator before and the line "which allows users to design their own Programmable System on a Chip and have it manufactured (that part costs)" is misleading. You can buy a generic PSoC 3/4/5 and program it with Creator i.e., it's all firmware(although that term actually encompasses a lot more when looking a PSoC) and no custom manufacturing is involved. The cool thing is you can always move stuff around and reprogram so it's pretty much like a custom SoC.
I've been using Octave for Galois Field arithmetic and I'm really happy with it. For some reason the script I wrote most recently takes 1/20th (!) as long to run on Octave than on Matlab. (It operates on BCH codes.) (I'm using Octave on the Mac.)
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.