Remember to bring DVI/VGA-to-DisplayPort adapter if you own a Mac

“MLX” is more than just a technical solution; it is an innovative and user-friendly framework inspired by popular frameworks like PyTorch, Jax, and ArrayFire. It facilitates the training and deployment of AI models on Apple devices without sacrificing performance or compatibility.

sudo softwareupdate -ia installs all available updates.

Introduced in September 2017, macOS 10.13 High Sierra brought new updates to the Photos and Safari apps. However, most of the changes happened underneath, including performance improvements and technical updates.

I could be super-happy with any of Fira Code Retina, Hack, JetBrains Mono, or Inconsolata.

Mac User Aliases

Points from the comments in support of using Mac

Points from the comments in support of using Linux

Solution #3: Switch to Conda-Forge

In general, the environment variable is too heavy-handed and should be avoided, since it will impact all images you build or run. Given the speed impact, you don’t for example want to run your postgres image with emulation, to no benefit.

The problem with this approach is that the emulation slows down your runtime. How much slower it is? Once benchmark I ran was only 6% of the speed of the host machine!

The other option is to run x86_64 Docker images on your ARM64 Mac machine, using emulation. Docker is packaged with software that will translate or emulate x86_64 machine code into ARM64 machine code on the fly; it’s slow, but the code will run.

Third, you can pre-compile wheels, store them somewhere, and install those directly instead of downloading the packages from PyPI.

If you have a compiler installed in your Docker image and any required native libraries and development headers, you can compile a native package from the source code. Basically, you add a RUN apt-get upgrade && apt-get install -y gcc and iterate until the package compiles successfully.

First, it’s possible the relevant wheels are available in newer versions of the libraries.

When you pip install murmurhash==1.0.6 on a M1/M2 Mac inside Docker, again it looks at the available files

When you pip install filprofiler==2022.05.0 on a M1/M2 Mac inside Docker, pip will look at the available files for that version, and then

In either case, pure Python will Just Work, because it’s interpreted at runtime: there’s no CPU-specific machine code, it’s just text that the Python interpreter knows how to run. The problems start when we start using compiled Python extensions. These are machine code, and therefore you need a version that is specific to your particular CPU instruction set.

on an Intel/AMD PC or Mac, docker pull will pull the linux/amd64 image. On a newer Mac using M1/M2/Silicon chips, docker pull will the pull the linux/arm64/v8 image.

In order to meet its build-once-run-everywhere promise, Docker typically runs on Linux. Since macOS is not Linux, on macOS this is done by running a virtual machine in the background, and then the Docker images run inside the virtual machine. So whether you’re on a Mac, Linux, or Windows, typically you’ll be running linux Docker images.

sudo killall coreaudiod

defaults write NSGlobalDomain WebKitDeveloperExtras -bool true defaults write -g WebKitDeveloperExtras -bool YES

PicGo: 一个用于快速上传图片并获取图片 URL 链接的工具

sudo codesign --remove-signature "/Applications/Discord.app/Contents/Frameworks/Discord Helper (Renderer).app"

sudo mdfind "com_apple_backup_excludeItem = 'com.apple.backupd'"

Is there an OS agnostic way of doing this? I like the script command on macOS because you don't have to wrap the command in quotes. The script runs and sends output to the tty which is duplicated in the supplied file, but I can't seem to get the linux version to behave the same way... I'm probably doing something wrong. So what's the equivalent linux script command for this on macOS: script -q -t 0 tmp.out perl -e 'print "Test\n"' Test cat tmp.out Test

For Mac OS X, the syntax seems to be:

i found that for the osx host "gonzo" , the vanished files (not the warning message itself) appear in stdout - for linux hosts they _both_ appear in stderr , but nothing in stdout (rsync.err.#num is stderr, rsync.log is stdout)

Download for macOS

Changing a user’s default Shell to bash v5

sdiff

From Bash to Zsh

NVIDIA's CUDA libraries

Update 10/14/19: Proceed at your own risk. The upgrade works, but my iMac runs on high cpu on various services. I arleady disabled photoanalysisd, but now vtencoderxpcservice takes up a lot of CPU. If anywone found a solution, please post it in the comments below.

We've updated most current apps to 64-bit architecture. The following versions work in Catalina, but have these known issues. 

Right-click (or Control+Click, or a Two-Finger click on trackpads) on the file or folder in the Mac Finder

注意，经过上面的设置，无法调节系统的声音大小了。等用完了录屏的需求，可以按下面的操作恢复系统音量调节的功能。