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The instructions in the latest version of brew may differ from what’s in that stack link, but it explains what’s going on nicely anyway. Follow the instructions to add the brew binary to your PATH environment variable.

Pull down personal config files from my private rc GitHub repo.

While this is downloading xcode tools and whatnot… I use dropbox + google to manage files, calendars, contacts, and the like I prefer Google’s cloud apps as an MS Office replacement and the free DaVinci Resolve and Reaper for video and audio editing.

% sudo rm -rf some apps that came with the OS: Garageband, Keynote, iMovie, Pages, Numbers.

Login to Google account on chrome and let my various extensions install: LastPass, RegEx search, Privacy Badger, AdBlock, Grammarly, JSONview, Wikiwand, open tabs next to current, and a few more.

#Apple remote desktop 3.9.4 download#

Download Chrome, make it the default browser.

#Apple remote desktop 3.9.4 password#

Switch from mobile hotspot to home WiFi using copied password.

Copy my home wifi password (many random characters) from LastPass.

Connect to my phone’s WiFi hotspot, to log into LastPass.

Dock: Switch cartoonish “genie” minimize animation to classier “scale”.

Why would you keep your dock visible, especially on a laptop, where screen real estate is so precious?

Breeze through welcome screens: No Siri, yes English language.Here’s the order in which I settled into my new hardware, for lack of fancy administrative setup scripts: First Few Keystrokes on Big Sur

#Apple remote desktop 3.9.4 full#

Thank you, employer! I have faith that full compatibility with all the popular data science libraries will come with time, and this computer will run faster and last longer than a used one. I had been shopping for used 2016–2018 MacBooks on eBay (carefully trying to avoid butterfly keyboards) to replace my 2012 (which no longer supports the latest macOS), but then my employer intervened with an offer to buy me a new Apple machine outright, so I took them up on it. I can still shell into my old x86 Hackintosh desktop running plaidML in a pinch. I’ve got the basics of AWS and I’m taking classes on Docker, Kubernetes, Terraform, etc. That said, UX is probably more important to me than raw computing power on my local everyday machine, in a world where the heavy lifting of production ML is increasingly performed on cloud servers. It’s also not the most powerful laptop you could get for the price. Still, the new Apple chips are fast, and the developer community is working to bridge the gap. Basically, it’s too new-a problem I’m not accustomed to having. I was aware of some catches with Apple Silicon: The new arm64 processor architecture has posed a challenge for data science library compatibility. But there’s just a special something about the industrial design of MacBooks! I like how effortless it is to throw a MacBook air in a backpack, to bring it with you.

#Apple remote desktop 3.9.4 plus#

I considered switching to Windows (and making use of WSL2): That way, I could still have my stupid GUI apps plus a Linuxy dev environment, then splurge on hardware. I would have considered an Ubuntu setup, but I’m a sucker for some commercialized mac/win-only apps like Adobe Lightroom.

It’s like miniconda, but with Apple M1 supported by default. without Rosetta 2 translation) on your new M1 MacBook, save yourself a lot of hassle: Use miniforge. If you’re hoping to run Python libraries natively (i.e.

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