Devices and Mac OS X version

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VLC media player requires Mac OS X 10.7.5 or later. It runs on any Mac with a 64-bit Intel processor or an Apple Silicon chip. Previous devices are supported by older releases.
Note that the first generation of Intel-based Macs equipped with Core Solo or Core Duo processors is no longer supported. Please use version 2.0.10 linked below.

If you need help in finding the correct package matching your Mac's processor architecture, please see this official support document by Apple. You can also choose to install a Universal Binary.

Web browser plugin for Mac OS X

Support for NPAPI plugins was removed from all modern web browsers, so VLC's plugin is no longer maintained. The last version is 3.0.4 and can be found here. It will not receive any further updates.

Older versions of Mac OS X and VLC media player

We provide older releases for users who wish to deploy our software on legacy releases of Mac OS X. You can find recommendations for the respective operating system version below. Note that support ended for all releases listed below and hence they won't receive any further updates.

Mac OS X 10.6 Snow Leopard

Use VLC 2.2.8. Get it here.

Mac OS X 10.5 Leopard

Use VLC 2.0.10. Get it for PowerPC or 32bit Intel.

Mac OS X 10.4 Tiger

Mac OS X 10.4.7 or later is required

Use VLC 0.9.10. Get it for PowerPC or Intel.

Mac OS X 10.3 Panther

QuickTime 6.5.2 or later is required

Use VLC 0.8.6i. Get it for PowerPC.

Mac OS X 10.2 Jaguar

Use VLC 0.8.4a. Get it for PowerPC.

Mac OS X 10.0 Cheetah and 10.1 Puma

Use VLC 0.7.0. Get it for PowerPC.

Eliminate devops

Whether you’re a big, small or medium enterprise, Anaconda will support your organization. As a free and open-source distribution of Python and R programming language, it’s aim is to easily scale a single user on one laptop to thousands of machines. If you’re looking for a hassle-free data science platform, this is the one for you.

Extensive packages

Anaconda is leading the way for innovative data science platforms for enterprises of all sizes.

Anaconda provides you with more than 1,500 packages in its distribution. In it you will find the Anaconda navigator (a graphical alternative to command line interface), Conda package, virtual environment manager, and GUI. What makes Conda different from other PIP package managers is how package dependencies are managed. PIP installs Python package dependencies, even if they’re in conflict with other packages you’ve already installed. So, for example, a program can suddenly stop working when you’re installing a different package with a different version of the NumPy library. Everything will appear to work but, you data will produce different results because you didn’t install PIP in the same order. This is where Conda comes in. It analyzes your current environment and installations. This includes version limitations, dependencies, and incompatibility. As an open source package, it can be individually installed from the Anaconda repository, Anaconda Cloud or even the conda install command.
You can even create and share custom packages using the conda build command. The developers will then compile and build all the packages in the Anaconda repository, providing binaries for Windows, Linux and MacOS. Basically, you won’t worry about installing anything because Conda knows everything that’s been installed in your computer.

Extend your reach with Anaconda Navigator

The built in graphical user interface or GUI allows you to launch applications while managing Conda packages, environments and channels. This means the GUI will complete the process of installing packages without asking for a command-line command. It even includes these applications by default: JupyterLab & Jupyter Notebook / QtConsole / Spyder / Glueviz / Orange / RStudio / Visual Studio Code.

Where can you run this program?

Anaconda 2019.07 has these system requirements:

- Operating system: Windows 7 or newer, 64-bit macOS 10.10+, or Linux, including Ubuntu, RedHat, CentOS 6+.
- System architecture: Windows- 64-bit x86, 32-bit x86; MacOS- 64-bit x86; Linux- 64-bit x86, 64-bit Power8/Power9.
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Anaconda developers recommends you to install Anaconda for the local user so you won’t need administrator permissions. Or, you can opt to install Anaconda system wide, which does require administrator permissions.

Is there a better alternative?

If you’re looking for simple Python-dedicated environment, then you need PyCharm. Targeted specifically for Python programmers, this integrated development environment is filled with programming tools that can impress both new and experienced developers. It provides all the tools in a centralized system so you can increase your efficiency and effectiveness. Features like code analysis, graphical debugger, and unit tester helps you integrate Python programs with version control systems. In fact, every single output you make will be capable of web development from different web frameworks like Django, web2py, and Flask. It offers automated tools like code refactorings, PEP8 checks, and testing assistance to create your code, but what stands out the most is Smart Assistance. It fixes any of your errors or complete portions of your code. With PyCharm, you can expect a neat and maintainable code.

Our take

Anaconda’s host of innovative options makes it the best data science platform for all enterprises. By offering superior collaboration tools, scalability, and security, you never have to worry about gathering big data again.

Should you download it?

If you have experience with other package management and deployment programs, then make the big switch by downloading Anaconda.

Highs

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• Extensive data science tools
• Functions can be scaled
• Flexible nodes
• Reliable cloud storage

Lows

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• Complex for beginners
• Hard to maximize by small organizations
• Minimal automated features

Anacondafor Mac

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