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​IBM Code Release for Mac@IBM

Filed under
Mac
OSS
  • Mac@IBM code goes open source

    Designed to streamline the integration of corporate-owned or BYOD Apple Mac devices and applications into the enterprise while delivering a personalized experience, Mac@IBM has seen the number of IBMers using Macs increase from 30,000 in 2015 to 134,000 in 2018.

  • IBM open-sources Mac@IBM code, spreading tech to other businesses

    IBM on Tuesday shared word that it's open-sourcing its Mac@IBM provisioning code, which should enable other companies to provision Macs using similar architecture.

  • ​IBM open-sources Mac sysadmin software

    In 2015, IBM had half-a-million Windows users. It then gave its staffers the option to switch to Apple Macs. Six months later, over 30,000 had made the shift. Today, over 134,000 IBMers are Mac users. To manage them, IBM created its own Mac-specific system administration program: Mac@IBM. Now, IBM is open-sourcing this program.

  • IBM open sources Mac@IBM code

    At the Jamf Nation User Conference, IBM has announced that it is open sourcing its Mac@IBM provisioning code. The code being open-sourced offers IT departments the ability to gather additional information about their employees during macOS setup and allows employees to customize their enrollment by selecting apps or bundles of apps to install.

Apple Wipes

Filed under
Hardware
Mac

Linux vs Mac: 7 Reasons Why Linux is a Better Choice than Mac

Filed under
GNU
Linux
Mac

If you’re already using a Mac or planning to get one, we recommend you to thoroughly analyze the reasons to decide whether you need to switch/keep using Linux or continue using Mac.

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Openwashing iPhone With "HeadGaze" and Microsoft Openwashing Itself

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Microsoft
Mac
OSS

Linux Kernel Vs. Mac Kernel

Filed under
Linux
Mac

Both the Linux kernel and the macOS kernel are UNIX-based. Some people say that macOS is "linux", some say that both are compatible due to similarities between commands and file system hierarchy. Today I want to show a little of both, showing the differences and similarities between Linux Kernel & Mac kernel like I mentioned in previous Linux kernel articles.

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Also: A Batch Of x86 Speculation Fixes Headed To The Linux 4.19 Kernel

10 Best Linux Distros to Install on Your MacBook

Filed under
GNU
Linux
Mac

macOS is a Unix-like Operating System so many of the features in Linux distros are similar to those that it offers. That notwithstanding, because it is Unix-like does not mean that it is Linux and for one reason or the other you may want to run a full-fledged OS.

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Microsoft and Apple Piggybacking the Competition

Filed under
Microsoft
Mac

Chromebook Marketing Badmouths Windows, MacOS

Filed under
GNU
Linux
Google
Microsoft
Mac

Apple's Service and Quality

Filed under
Mac

Want to Make Linux Mint Look Like a Mac? This Theme Can Help

Filed under
GNU
Linux
Mac

We’ve established how easy it is to make Ubuntu look like a Mac but theming Linux Mint, the popular Ubuntu-based offshoot, is a little trickier.

But no more.

It’s now possible to make Linux Mint look like a Mac too, and it’s all thanks to a customised version of the uncannily accurate macOS Mojave GTK theme we highlighted here, just a few weeks ago.

If you’ve longed to add some Cupertino styling to the Cinnamon desktop, keep reading!

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More in Tux Machines

Programming: mmap. Python and More

  • Making the Most of your Memory with mmap
    Sometimes it seems that we have nearly infinite memory resources, especially compared to the tiny 48K RAM of yesteryear’s 8-bit computers. But today’s complex applications can soak up megabytes before you know it. While it would be great if developers planned their memory management for all applications, thinking through a memory management strategy is crucial for applications with especially RAM intensive features like image/video processing, massive databases, and machine learning. How do you plan a memory management strategy? It’s very dependent on your application and its requirements, but a good start is to work with your operating system instead of against it. That’s where memory mapping comes in. mmap can make your application’s performance better while also improving its memory profile by letting you leverage the same virtual memory paging machinery that the OS itself relies on. Smart use of the memory mapping API (Qt, UNIX, Windows) allows you to transparently handle massive data sets, automatically paging them out of memory as needed – and it’s much better than you’re likely to manage with a roll-your-own memory management scheme. Here’s a real-life use case of how we used mmap to optimize RAM use in QiTissue, a medical image application. This application loads, merges, manipulates, and displays highly detailed microscope images that are up to gigabytes in size. It needs to be efficient or risks running out of memory even on desktops loaded with RAM.
  • Moving Kolla images to Python 3
    Python… To use 2.7 or to go for 3.x? To “be compatible” or to “use fancy new features”. Next year Python 2 gets finally unsupported upstream.
  • PyCharm 2019.1 RC 2
    New in PyCharm 2019.1: completely redesigned Jupyter Notebooks, improved HTML & CSS quick documentation, custom themes, and more. Get the release candidate from our website
  • 13 Project Ideas for Intermediate Python Developers
    Learning the basics of Python is a wonderful experience. But the euphoria of just learning can be replaced by the hunger for hands-on projects. It’s normal to want to build projects, hence the need for project ideas. The problem though is that some projects are either too simple for an intermediate Python developer or too hard. This article will suggest projects you can work on as an intermediate Python developer. These project ideas will provide the appropriate level of challenge for you.
  • Speed: Default value vs checking for None
  • Announcing SLE 15 SP1 RC 1 and SES 6 Beta 11!
  • Coding in Python 19 - More fun with the OS Module
  • Coding in Python 20 - Subprocess
  • Coding in Python 21 - Handling Exceptions
  • Starting A Django Project
  • Microsoft buffs up its open-source halo to fine sheen with PostgreSQL GUI in Azure Data Studio [Ed: These are all proprietary software falsely marketed using "free bait" a.k.a. "open core" or 'open' plugins. It's also surveillance.]

DebConf20 Conference to Be Hosted in Haifa, Israel, for Debian GNU/Linux 11

A port city built in tiers, Haifa is found in the northern area of Israel, extending from the Mediterranean sea till the north slope of the Carmel Mountain National Park. Haifa it's the third-largest city in Israel after Jerusalem and Tel Aviv, and it is close to the biblical city Nazareth where Jesus studied and prayed. In 2020, the Debian Project will celebrate 12 years since the first DebConf Debian developer conference, so they decided to choose Israel instead of Lisbon, Portugal, for next year's DebConf20 event despite the extensive discussions between the DebConf team and committee due to Israel's political system. Read more

Ubuntu Leftovers

  • Debug ACPI DSDT and SSDT with ACPICA Utilities
    Using acpidbg on Ubuntu 18.04 x64 can be quite handy; however, the Linux kernel with ACPI_DEBUGGER is not always available, such as on Ubuntu for ARM. In such cases, acpica also provides a set of utilities, named acpica-tools, for ACPI debugging.
  • NVIDIA Jetson Nano is a $99 Computer Built for AI, Powered by Ubuntu
    Sold as a complete compute solution, the Jetson Nano Developer Kit wants to let embedded designers, researchers, and DIY makers harness the power of AI, all at an affordable price. A NVIDIA’s JetPack SDK provides a ‘complete desktop Linux environment based on Ubuntu 18.04 LTS’, replete with accelerated graphics, NVIDIA CUDA toolkit support, and more. NVIDIA say developers will find it “easy” to install leading open-source Machine Learning (ML) frameworks like TensorFlow, Caffe and Keras. Frameworks for computer vision and robotics development like OpenCV and ROS are also available via the SDK. The JetPack 4.2 SDK [shipped on the microSD card] provides a complete desktop Linux environment for Jetson Nano based on Ubuntu 18.04 with accelerated graphics, support for NVIDIA CUDA Toolkit 10.0, and libraries such as cuDNN 7.3 and TensorRT 5,” Nvidia says of the nimble Nano dev kit. But how powerful is it?
  • Vertical rhythm and spacing in Vanilla Framework 2.0
    Vanilla, the CSS framework behind Canonical’s suite of products and services, has undergone significant changes over the last 12 months. We’ve introduced vertical rhythm, a new type scale, consistent white space in and between elements, and adjustable information density. 
  • Ubuntu 19 04 Desktop Tour of New Features

Security: Updates, Microsoft, Mirai, Reproducible Builds and PuTTY