微软在早些时候正式发布了Office 2019 for Windows and Mac。此次更新，是对过去三年在Office 365里所有功能进行整合，包括对Word、Excel、PowerPoint、Outlook、Project、Visio、Access和Publisher的更新。 本次Office 2019 for Windows and Mac更新，不像之前一样通过推送更新来获取新的. Project Viewer 365 for Mac works on all Apple computers running OS X Yosemite and above. To complement your workflow on your Mac, Project Viewer 365 for iOS allows you to take your work outside the office, and right to the job site. Teamwork (formerly known as Teamwork Projects) really pushes the boat out when it. Project Plan 365 for Mac works on all Apple devices running macOS or iOS. To complement your workflow on your Mac, Project Plan 365 for iOS allows you to take your work outside the office, and right to the job site.Create new Gantt charts and modify existing project schedules in the same intuitive way as with MS Project. First I'll set the scene – we support access to Project Web App (PWA) both for Project Server 2013 and Project Online using Safari on the Apple Mac, but we do not have a version of Project Professional 2013, or Project Pro for Office 365 that runs natively on OS X.
- Project For Mac Microsoft Store
- Project For Machine Learning
- Project For Machine Design
- Project For Mac Os
- Project For Mac Torrent
Microsoft Project is the best project, portfolio, and resource management solution—but it's not available on macOS®. However, with Parallels Desktop® for Mac, Apple® users can use a Windows virtual machine (VM) to run Microsoft Project on Mac®.
Getting started with running MS Project on macOS is easy:
- Download a trial of Parallels Desktop.
- Set up a Windows 10 VM. It's very easy to buy a new Windows 10 license inside Parallels Desktop. (You can also use an existing Windows 10 license key.)
- Purchase Microsoft Project and download the .exe file in your Windows 10 VM.
- Start using Microsoft Project to get your job done!
Parallels Desktop is the #1 virtualization solution to run Windows, Linux, and other popular operating systems on Mac. Virtualization of a Windows OS on Mac has endless benefits, including:
- Low cost in comparison to buying a second computer
- Minimized or eliminated downtime
- Increased productivity
- Faster backups
- Easy to recover or migrate to additional Mac devices
- Economic use of energy
- Eco-friendly choice to minimize the amount of electronic waste a single user produces.
If you're still deciding if Parallels Desktop is right for you, continue reading to understand how a program manager utilizes virtualization to run Microsoft Project.
As a self-employed program manager, Tim specializes in large-scale data migrations and the development of sustainable business intelligence (BI) and analytic solutions. He has a wealth of experience in both IT and capital asset delivery, as well as general management, operational, and strategic roles in asset-intensive industries and regulation.
Like most consultants, Tim needs slick and stable IT to allow him to focus on the real issues. He doesn't want IT issues to constantly be distracting him. Parallels Desktop offers a reliable platform that allows him to deliver.
As an avid personal user of Apple products, Tim also wished to migrate his work life to Mac. However, for most clients he needed to use Microsoft Project as a Gantt chart management tool. Being able to manage multi-project plans is an essential element for any program manager. Unfortunately, Microsoft Project is one of the few pieces of Microsoft software that has not been developed to run on macOS.
After online research, Tim concluded that the only successful way to use Microsoft Project on a Mac was through a Windows virtual machine. He discussed the issue directly with Apple, and they recommended Parallels Desktop as a solution.
Following a very simple installation of Parallels, Tim can now use Microsoft Project natively within a Windows environment on his MacBook Pro®. This means there's no translation between products claiming to act as a Microsoft Project editor—quite simply, he's running a Windows version of Microsoft Project on his Mac. It has proved to be an excellent solution for Tim.
Tim wholeheartedly recommends Parallels Desktop, which he has now been using successfully for several months. Installation was simple, and there are many configuration options that can be changed. (For example, the amount of memory dedicated to the Apple or Windows operating system.) This gives greater flexibility to the user. Tim hasn't had any issues with Parallels Desktop at all, and the product is extremely stable in every way. Tim also added that Parallels® Toolbox (which comes included with Parallels Desktop) has been useful. He particularly likes the disk cleaning tool, which ensures his laptop is always operating efficiently.
If you'd like to use Parallels Desktop to run popular Windows programs on Mac (without rebooting!), download a free 14-day trial.
This directory contains binaries for a base distribution and packages to run on Mac OS X (release 10.6 and above). Mac OS 8.6 to 9.2 (and Mac OS X 10.1) are no longer supported but you can find the last supported release of R for these systems (which is R 1.7.1) here. Releases for old Mac OS X systems (through Mac OS X 10.5) and PowerPC Macs can be found in the old directory.
Note: CRAN does not have Mac OS X systems and cannot check these binaries for viruses.Although we take precautions when assembling binaries, please use the normal precautions with downloaded executables.
Package binaries for R versions older than 3.2.0 are only available from the CRAN archive so users of such versions should adjust the CRAN mirror setting (https://cran-archive.r-project.org) accordingly.
R 4.0.3 'Bunny-Wunnies Freak Out' released on 2020/10/10
Project For Mac Microsoft Store
Please check the MD5 checksum of the downloaded image to ensure that it has not been tampered with or corrupted during the mirroring process. For example type
openssl sha1 R-4.0.3.pkg
in the Terminal application to print the SHA1 checksum for the R-4.0.3.pkg image. On Mac OS X 10.7 and later you can also validate the signature using
pkgutil --check-signature R-4.0.3.pkg
Latest release:
| R-4.0.3.pkg (notarized and signed) SHA1-hash: 8402f586aef1fdb12c6e34c73b286f87318fb1be (ca. 85MB) | R 4.0.3 binary for macOS 10.13 (High Sierra) and higher, signed and notarized package. Contains R 4.0.3 framework, R.app GUI 1.73 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 6.7. The latter two components are optional and can be ommitted when choosing 'custom install', they are only needed if you want to use the tcltk R package or build package documentation from sources. Note: the use of X11 (including tcltk) requires XQuartz to be installed since it is no longer part of OS X. Always re-install XQuartz when upgrading your macOS to a new major version. Important: this release uses Xcode 10.1 and GNU Fortran 8.2. If you wish to compile R packages from sources, you will need to download and GNU Fortran 8.2 - see the tools directory. |
| NEWS (for Mac GUI) | News features and changes in the R.app Mac GUI |
| Mac-GUI-1.73.tar.gz SHA1-hash: 7f4b1d050757ce78545bdeb9d178a69d13046aa1 | Sources for the R.app GUI 1.73 for Mac OS X. This file is only needed if you want to join the development of the GUI, it is not intended for regular users. Read the INSTALL file for further instructions. |
Note: Previous R versions for El Capitan can be found in the el-capitan/base directory.Binaries for legacy OS X systems: | |
| R-3.6.3.nn.pkg (signed) SHA1-hash: c462c9b1f9b45d778f05b8d9aa25a9123b3557c4 (ca. 77MB) | R 3.6.3 binary for OS X 10.11 (El Capitan) and higher, signed package. Contains R 3.6.3 framework, R.app GUI 1.70 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 5.2. The latter two components are optional and can be ommitted when choosing 'custom install', they are only needed if you want to use the tcltk R package or build package documentation from sources. |
| R-3.3.3.pkg MD5-hash: 893ba010f303e666e19f86e4800f1fbf SHA1-hash: 5ae71b000b15805f95f38c08c45972d51ce3d027 (ca. 71MB) | R 3.3.3 binary for Mac OS X 10.9 (Mavericks) and higher, signed package. Contains R 3.3.3 framework, R.app GUI 1.69 in 64-bit for Intel Macs, Tcl/Tk 8.6.0 X11 libraries and Texinfo 5.2. The latter two components are optional and can be ommitted when choosing 'custom install', it is only needed if you want to use the tcltk R package or build package documentation from sources. Note: the use of X11 (including tcltk) requires XQuartz to be installed since it is no longer part of OS X. Always re-install XQuartz when upgrading your OS X to a new major version. |
| R-3.2.1-snowleopard.pkg MD5-hash: 58fe9d01314d9cb75ff80ccfb914fd65 SHA1-hash: be6e91db12bac22a324f0cb51c7efa9063ece0d0 (ca. 68MB) | R 3.2.1 legacy binary for Mac OS X 10.6 (Snow Leopard) - 10.8 (Mountain Lion), signed package. Contains R 3.2.1 framework, R.app GUI 1.66 in 64-bit for Intel Macs. This package contains the R framework, 64-bit GUI (R.app), Tcl/Tk 8.6.0 X11 libraries and Texinfop 5.2. GNU Fortran is NOT included (needed if you want to compile packages from sources that contain FORTRAN code) please see the tools directory. NOTE: the binary support for OS X before Mavericks is being phased out, we do not expect further releases! |
Subdirectories:
Project For Machine Learning
| tools | Additional tools necessary for building R for Mac OS X: Universal GNU Fortran compiler for Mac OS X (see R for Mac tools page for details). |
| base | Binaries of R builds for macOS 10.13 or higher (High Sierra) |
| contrib | Binaries of package builds for macOS 10.13 or higher (High Sierra) |
| el-capitan | Binaries of package builds for OS X 10.11 or higher (El Capitan build) |
| mavericks | Binaries of package builds for Mac OS X 10.9 or higher (Mavericks build) |
| old | Previously released R versions for Mac OS X |
You may also want to read the R FAQ and R for Mac OS X FAQ. For discussion of Mac-related topics and reporting Mac-specific bugs, please use the R-SIG-Mac mailing list.
Project For Machine Design
Information, tools and most recent daily builds of the R GUI, R-patched and R-devel can be found at http://mac.R-project.org/. Please visit that page especially during beta stages to help us test the Mac OS X binaries before final release!
Project For Mac Os
Package maintainers should visit CRAN check summary page to see whether their package is compatible with the current build of R for Mac OS X.
Binary libraries for dependencies not present here are available from http://mac.R-project.org/libs and corresponding sources at http://mac.R-project.org/src.
Project For Mac Torrent
Last modified: 2020/10/10, by Simon Urbanek
