Linux From Scratch (LFS) is a project that provides you with step-by-step instructions for building your own customized Linux system entirely from source.
Build the customized linux step-by-step is good way to understand linux system deeply. (Include cross compile TEC which I have interest )
I am HA developer, don't have any experience on machine leaning field. Recent years, many topics like "Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data, etc... (I don't forget AI, but in not this time)" become more and more popular and seems interesting to me. I also want to know how high availability function implemented in some distributed system for the core part.
Google TensorFlow1.0 just released, it is the time to play on it.
These project have two sub-object.
* Develop a lite edition photo manage tool, use to export photos from cellphone, memory card and other usb device. It can mange the photos by Exif information (such as date, location, and lens information).
In previous hack weeks, the first few days ended up being wasted on just getting it working. I'm pleased to share that the code quality has improved dramatically since the last hack week and there are now extensive test cases for both unit testing and testing against real vmcores, and we'll use both mypy and pylint (if installed) to perform static analysis. Packages for those are available in openSUSE or as part of the crash-python OBS repo for SLE15. It has been tested with kernels from 3.0 to 5.1.