Android Leftovers

• YouTube Music rolls out gapless playback for albums on Android and web

• Samsung Galaxy Note 10 & S10 5G stable Android 10 update coming soon

• No Android 10/One UI 2.0 beta program coming for the Galaxy Fold

• Google Maps Incognito mode comes to iOS, Android adding bulk Timeline delete

Free Software program Basis Provides Advantages and Merchandise In Its Annual Fundraiser

An nameless reader writes: The Free Software program Basis is holding its annual fundraiser, with a aim of attracting 600 new members by the tip of December. (New members to date: 112.) “We’re nonetheless combating the oppressive nature of proprietary software program,” explains the marketing campaign’s net web page. “Now we have made strong inroads, and the neighborhood is as passionate as ever.” As a 501(c)(3) charity the group’s membership dues are all tax deductible, and affiliate memberships are simply $10 a month ($5 for college kids). They arrive with particular advantages together with as much as 5 electronic mail aliases within the member.fsf.org area, eligibility to hitch the nonprofit Digital Credit score Union, free admission to the annual LibrePlanet convention in Boston, and 20% reductions on FSF merchandise and GNU gear (together with this pleasant stuffed child gnu). Also: Mark J. Wielaard: Software Freedom Conservancy Donor Match

Python Programming: Python 3, MicroPython, Creating Command Line Utilities and Installing/Updating Packages in Python

• It’s Time to Upgrade to Python 3 – Time Is Running Out!

  As of January 1, 2020, Anaconda will no longer be adding new packages built for Python 2.7 to repo.anaconda.com default channels. The Python 2.7 packages available prior to that date will remain available. This means, for instance, that if there is a newly released version of TensorFlow after the first of the new year – it will not be available in defaults for Python 2.7. The one exception is that Python 2.7.18 is slated to be released in mid-April 2020 according to PEP-0373. Packages for Python 2.7.18 will be built and made available on the repo.anaconda.com defaults channel.

• MicroPython: An Intro to Programming Hardware in Python

  Are you interested in the Internet of Things, home automation, and connected devices? Have you ever wondered what it would be like to build a blaster, a laser sword, or even your own robot? If so, then you’re in luck! MicroPython can help you do all of those things and more. [...] Python’s popularity has skyrocketed in recent years. These days, it’s used everywhere from DevOps to statistical analysis, and even in desktop software. But for a long time, there was one field where Python use was conspicuously missing. Developers working with microcontrollers had not yet adopted the language. All of that changed in 2013 when Damien George launched a Kickstarter campaign. Damien, an undergraduate at Cambridge University, was an avid robot programmer. He wanted to move the Python world from machines that worked with capacities in the gigabytes down to the kilobytes. His Kickstarter campaign was an attempt to back his development while he turned his proof of concept into a finished implementation. Many developers jumped at the chance, not only to use Python on microcontrollers but also to get an early version of Damien’s own reference hardware, which was built especially for the task! In fact, by the end of the campaign, Damien had blown past his £15,000 goal. Thanks to over 1,900 backers, he reached just shy of £100,000.

• Creating Command Line Utilities with Python's argparse

  Most of the user-facing software comes with a visually pleasing interface or via a decorated webpage. At other times, a program can be so small that it does not warrant an entire graphical user interface or web application to expose its functionality to the end-user. In these cases, we can build programs that are accessible via a Command Line Interface, or CLI. In this post, we will explore Python's argparse module and use it to build a simple command-line tool to help us shorten URLs swiftly.

• Learn all About Installing & Updating Packages in Python

  In this tutorial, we will learn the basics of installing, working and updating packages in Python. First, we will learn how to install Python packages, then how to use them, and finally, how to update Python packages when needed. More specifically, we are going to learn how to install and upgrade packages using pip, conda, and Anaconda Navigator. Now, before we are going to learn how to install Python packages we are going to answer the question “what is a package in Python?”

Facebook's New Linux Slab Memory Controller Saving 30~40%+ Of Memory, Less Fragmentation

Back in September we wrote about Facebook's Roman Gushchin working on a new slab memory controller/allocator implementation that in turn could provide better memory utilization and less slab memory usage. This wasn't ready in time for the 5.5 kernel but a revised patch series was sent out last week. Roman continues to talk up this new slab memory controller with it turning out much better than the existing slab memory code, which he says in Facebook production workloads is only seeing 45~65% slab utilization and at best case around 85%. This controller rework aims for better slab utilization and also sharing of slab pages between multiple memory cgroups. The memory accounting is done now per-object rather than per-page, among other changes. Also: KubeCon gets bigger, the kernel gets better, and more industry trends