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Programming: GitLab, Python and More

Submitted by Roy Schestowitz on Thursday 3rd of January 2019 07:32:55 PM Filed under
Development
  • GitLab user? Maybe start your year with an update

    Now available GitLab 11.6.1, 11.5.6, and 11.4.13 fix a couple of security vulnerabilities affecting versions as far back as 8.0 – an upgrade is strongly recommended.

    One of the vulnerabilities can result in the exposure of source code belonging to projects with repositories which are supposed to be available to team members only. It was pinpointed to a missing authorization control and affects users of community and enterprise versions 8.17 and later.

  • Announcing a new course: Intro Python — Fundamentals

    Python is one of the hottest languages out there. People can’t get enough Python, and companies can’t get enough Python people.

    This means that learning Python is a great move for your career. (Also, it’s just plain ol’ fun to use.)

    If you’ve always wanted to get started with Python, or if you’ve been using it by combining good guesses with many visits to Stack Overflow, then I’m happy to announce the release of my new course, “Intro Python: Fundamentals.”

  • Python Context Managers

    One of the most "obscure" features of Python that almost all Python programmers use, even the beginner ones, but don't really understand, is context managers. You've probably seen them in the form of with statements, usually first encountered when you learn opening files in Python. Although context managers seem a little strange at first, when we really dive into them, understand the motivation and techniques behind it, we get access to a new weapon in our programming arsenal. So without further ado, let's dive into it!

  • Python gets a new governance model

    Back in late October, when we looked in on the Python governance question, which came about due to the resignation of Guido van Rossum, things seemed to be mostly set for a vote in late November. There were six Python Enhancement Proposals (PEPs) under consideration that would be ranked by voters in a two-week period ending December 1; instant-runoff voting would be used to determine the winner. In the interim, though, much of that changed; the voting period, winner-determination mechanism, and number of PEPs under consideration are all different. But the voting concluded on December 16 and a winner has been declared; PEP 8016 ("The Steering Council Model"), which was added to the mix in early November, came out on top.

    Right around the time of our previous article, a new thread was started on the Python committers Discourse instance to discuss the pros and cons of various voting systems. Instant-runoff voting fell out of favor; there were concerns that it didn't truly represent the will of the electorate, as seen in a Burlington, Vermont mayoral election in 2009, for example.

  • Relief for retpoline pain

    Indirect function calls — calls to a function whose address is stored in a pointer variable — have never been blindingly fast, but the Spectre hardware vulnerabilities have made things far worse. The indirect branch predictor used to speed up indirect calls in the CPU can no longer be used, and performance has suffered accordingly. The "retpoline" mechanism was a brilliant hack that proved faster than the hardware-based solutions that were tried at the beginning. While retpolines took a lot of the pain out of Spectre mitigation, experience over the last year has made it clear that they still hurt. It is thus not surprising that developers have been looking for alternatives to retpolines; several of them have shown up on the kernel lists recently.
    The way to make an indirect call faster is to replace it with a direct call; that renders branch prediction unnecessary. Of course, if a direct call would have sufficed in any given situation, the developer would have used it rather than an indirect call, so this replacement is not always straightforward. All of the proposed solutions to retpoline overhead strive to do that replacement in one way or another, though; they vary from the simple to the complex.

  • Refactor with Clang Tooling at code::dive 2018

    This was a fun talk to deliver as I got to demo some features which had never been seen by anyone before. For people who are already familiar with clang-tidy and clang-query, the interesting content starts about 15 minutes in. There I start to show new features in the clang-query interpreter command line.

  • PyPy for low-latency systems

    Recently I have merged the gc-disable branch, introducing a couple of features which are useful when you need to respond to certain events with the lowest possible latency. This work has been kindly sponsored by Gambit Research (which, by the way, is a very cool and geeky place where to work, in case you are interested). Note also that this is a very specialized use case, so these features might not be useful for the average PyPy user, unless you have the same problems as described here.

    The PyPy VM manages memory using a generational, moving Garbage Collector. Periodically, the GC scans the whole heap to find unreachable objects and frees the corresponding memory. Although at a first look this strategy might sound expensive, in practice the total cost of memory management is far less than e.g. on CPython, which is based on reference counting. While maybe counter-intuitive, the main advantage of a non-refcount strategy is that allocation is very fast (especially compared to malloc-based allocators), and deallocation of objects which die young is basically for free. More information about the PyPy GC is available here.

  • Python For Windows 10 Now Available For Download From Microsoft Store
  • Python can be now downloaded from Microsoft Store
  • Solving tic tac toe problem with python
  • Move the enemy ship up and down
  • qsslint – A linter for Qt stylesheets
»

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