lspci is the name of several versions of CLI tools used in UNIX-like systems to query information about PCI devices in the system.On Ubuntu 23.10, it is provided by the pciutils package, which is so dominant that when we say "lspci" without qualitication, that's what we mean.
The people who work on this will go straight to heaven, no questions asked.
E.g. showing live data from a scientific instrument! TODO:
- superuser.com/questions/825588/what-is-the-easiest-way-of-visualizing-data-from-stdout-as-a-graph
- unix.stackexchange.com/questions/190337/how-can-i-make-a-graphical-plot-of-a-sequence-of-numbers-from-the-standard-input
- stackoverflow.com/questions/44470965/how-can-you-watch-gnuplot-realtime-data-plots-as-a-live-graph-with-automatic-up
- stackoverflow.com/questions/14074790/plotting-a-string-of-csv-data-in-realtime-using-linux
- stackoverflow.com/questions/11874767/how-do-i-plot-in-real-time-in-a-while-loop-using-matplotlib
Survey of open source interactive plotting software with a 10 million point scatter plot benchmark by Ciro Santilli Updated 2025-01-10 +Created 1970-01-01
Tends to be Ciro Santilli's first attempt for quick and dirty graphing: github.com/cirosantilli/gnuplot-cheat.
domain-specific language. When it get the jobs done, it is in 3 lines and it feels great.
When it doesn't, you Google for an hours, and then you give up in frustration, and fall back to Matplotlib.
Couldn't handle exploration of large datasets though: Survey of open source interactive plotting software with a 10 million point scatter plot benchmark by Ciro Santilli
A waste of time. Output in my source files pollutes git and prevents me from editing it in Vim. Just let me run the freacking code and render images as standalone PNGs which I can include from Markdown.
@cirosantilli/_file/python/pytorch/python/pytorch/matmul.py Updated 2025-01-10 +Created 1970-01-01
Matrix multiplication example.
Fundamental since deep learning is mostly matrix multiplication.
NumPy does not automatically use the GPU for it: stackoverflow.com/questions/49605231/does-numpy-automatically-detect-and-use-gpu, and PyTorch is one of the most notable compatible implementations, as it uses the same memory structure as NumPy arrays.
React setups:
One problem with Django is that it does not expose its ORM as an external library: stackoverflow.com/questions/33170016/how-to-use-django-1-8-5-orm-without-creating-a-django-project which is wasteful of development time.
Leading RISC-V consultants as of 2020, they are basically trying to become the Red Hat of the semiconductor industry.
There are unlisted articles, also show them or only show them.