Now located at https://github.com/JeffPaine/beautiful_idiomatic_python.
Github gists don't support Pull Requests or any notifications, which made it impossible for me to maintain this (surprisingly popular) gist with fixes, respond to comments and so on. In the interest of maintaining the quality of this resource for others, I've moved it to a proper repo. Cheers!
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm
Current version: 1.0.19 1.0.15 (as of 2018-12-10)
This is study path related to microservices. It is not a study path on programming, if you want to improve in this sense please take a look at this.
| image: maven:3.3-jdk-8-alpine | |
| cache: | |
| key: "$CI_PROJECT_NAMESPACE/$CI_PROJECT_NAME" | |
| paths: | |
| - .m2/ | |
| variables: | |
| MAVEN_OPTS: "-Dmaven.repo.local=.m2" |
Tuning Intel Skylake and beyond for optimal performance and feature level support on Linux:
Note that on Skylake, Kabylake (and the now cancelled "Broxton") SKUs, functionality such as power saving, GPU scheduling and HDMI audio have been moved onto binary-only firmware, and as such, the GuC and the HuC blobs must be loaded at run-time to access this functionality.
Enabling GuC and HuC on Skylake and above requires a few extra parameters be passed to the kernel before boot.
Instructions provided for both Fedora and Ubuntu (including Debian):
Note that the firmware for these GPUs is often packaged by your distributor, and as such, you can confirm the firmware blob's availability by running:
