I L.O.V.E. developing on my 15” MacBook Pro, but I had some fiddling to get it just right.
Here is a quick post about how I have it configured.
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Overview
- Software: Parallels for Mac (I intend to check out VMware Fusion when I get some time.)
- I don’t use a BootCamp partition.If you run Parallels from a BootCamp partiton you lose the ability to take snapshots, which I love.In the future, when working more with mobile emulators, I might find that I need to boot natively into Windows and change to working from a BootCamp partition.
Figure: I allocate 8 of my 16Gb of RAM and 4 of my 8 ‘virtual’ CPUs because Visual Studio is still awesomely fast, and I often use the spare Ram and CPUs for other VMs (e.g. for testing older browsers)
Figure: I have performance optimised for the VM
Figure: My sharing settings.The ‘Shared Profile’ setting determines if you integrate Windows into OSX. I don’t enjoy this experience at all.Tip: Install DropBox on OSX, not in Windows and then tick ‘Shared Cloud’
Figure: I prefer not to share my Windows application with Mac. I don’t use Coherence. I run my VM full screen and when I’m in my Visual Studio VM I don’t want to be distracted.
Figure: I turn off the Active Screen Corners. I find them annoying and prefer shortcut keys.
Figure: I sync my Windows time from OSX
Figure: I turned off all the Mission Control shortcuts, as they interfere with my Visual Studio shortcuts.
Figure: I have turned off most of the default OSX keyboard shortcuts, but find Ctrl + F2 (Focus the OSX Menu Bar) and Ctrl + F3 handy (Focus the OSX Dock)
As always, I love feedback and suggestions.
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Languages and tooling for creating data science applications, including Python and F#
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Use R and Python for wide range of scenarios such as data acquisition, cleaning, model training, deployment, and plotting. Use F#, a powerful functional-first .NET language, for a wide variety of data processing tasks.
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– Create visual data plots with R
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– Create machine learning models using R and Microsoft ML Server
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Create add-ons and extensions for Visual Studio, including new commands, code analyzers, and tool windows
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Create Office and SharePoint add-ins, SharePoint solutions, and VSTO add-ins using C#, VB, and JavaScript
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Build and run code on a remote machine or Windows Subsystem for Linux and browse, edit, and debug from within Visual Studio. Use CMake to target multiple platforms from the comfort of a single IDE.
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– Get Started
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Visual Studio 2017 For Mac
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– Docker images for .NET Core applications
– C# console application using .NET Core
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