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VOXPOP
Is Python Getting too Complicated for New Users?
Efforts like the Cython project and the removal of the Global Interpreter Lock aim to gear Python for faster, high-throughput data analysis, but also introduce additional complexity.
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No way: The improvements are much needed, backward compatible and optional to use.
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Yes: Python’s chief value is its simplicity, not its speed. Production can be executed with R, or C++ or some other performant language.
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Who cares? Python is too problematic even for new users (blank spaces, runaway libraries, etc.). Newbies, start with JavaScript instead.
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Cowboy Neal (h/t, Slashdot and Jack Kerouac)
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Containers

 
OVERVIEW

Cloud native computing relies on containers as a common denominator. The platform allows software programs to be easily moved between systems, even ones with different architectures, by providing a universal platform. App containers package code and dependencies together at the app layer.

Containers serve as the base common denominator for cloud native computing. They offer a universal platform to package software programs so they can be easily moved around to different systems, even those with different architectures.

Like any modern technology, containers have actually been around for decades. FreeBSD offered “jails” in the early 2000s, and Solaris containers were a key part of offering secure, flexible platforms for applications running on Sun Micrososystems’ own Unix platform. In 2008, the idea of container became a core part of the Linux kernel with the introduction of LXC (LinuX Containers), implemented with cgroups and Linux namespaces.

While LxC was used by Google to manage its own infrastructure, it wasn’t until the advent of Docker, nuanced in 2013, did developers embrace abstraction, because it gave them an easy way to move software from development to production without any manual restaging. Mass-use of containers spurned development of container orchestraters such as Kubernetes and Docker Swarm.

Although Docker open sourced its container technology, additional effort has gone on to move the technology to independent open source governance, by way of projects such as runC, Containerd and the Moby Project. Additionally, more work has been undertaken to build containers that are both more secure and performant, such as Kata Containers.

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FULL CONTAINERS ARCHIVE