Programming Leftovers
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Graphics in Qt 6.0: QRhi, Qt Quick, Qt Quick 3D
Last year we had a three part blog series about Qt's new approach to working with 3D graphics APIs and shading languages: part 1, part 2, part 3. For Qt Quick, an early, opt-in preview of the new rendering architecture was shipped in Qt 5.14, with some improvements in Qt 5.15. With the release of Qt 6.0 upcoming, let's see what has happened since Qt 5.15. It will not be possible to cover every detail of the graphics stack improvements for Qt Quick here, let alone dive into the vast amount of Qt Quick 3D features, many of which are new or improved in Qt 6.0. Rather, the aim is just to give an overview of what can be expected from the graphics stack perspective when Qt 6.0 ships later this year.
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Multi-Layer Perceptron & Backpropagation - Implemented from scratch
Writing a custom implementation of a popular algorithm can be compared to playing a musical standard. For as long as the code reflects upon the equations, the functionality remains unchanged. It is, indeed, just like playing from notes. However, it lets you master your tools and practice your ability to hear and think.
In this post, we are going to re-play the classic Multi-Layer Perceptron. Most importantly, we will play the solo called backpropagation, which is, indeed, one of the machine-learning standards.
As usual, we are going to show how the math translates into code. In other words, we will take the notes (equations) and play them using bare-bone numpy.
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PyDev of the Week: William Horton
This week we welcome William Horton (@hortonhearsafoo) as our PyDev of the Week! William is a Backend Engineer at Compass and has spoken at several local Python conferences. He is a contributor to PyTorch and fastai.
Let’s spend some time getting to know William better!
Can you tell us a little about yourself (hobbies, education, etc):
A little about myself: people might be surprised about my educational background–I didn’t study computer science. I have a bachelors in the social sciences. So by the time I finished undergrad, the most programming I had done was probably doing regressions in Stata to finish my thesis. I decided against grad school, and instead signed up for a coding bootcamp (App Academy) in NYC. The day I’m writing this, September 28, is actually 5 years to the day that I started at App Academy.
Since then I’ve worked at a few different startups in NYC, across various industries: first investment banking, then online pharmacy, and now real estate. I’m currently a senior engineer on the AI Services team at Compass, working on machine learning solutions for our real estate agents and consumers.
I like to spend my free time on a few different hobbies. I’m a competitive powerlifter, so I like to get into the gym a few times a week (although with the pandemic in NYC I didn’t lift for six months or so). I’ve actually found powerlifting to be a pretty common hobby among software engineers. Every time someone new joined my gym, it seemed like they came from a different startup. I love to play basketball. And I’m passionate about music: I’ve been a singer almost my whole life, and most recently was performing with an a cappella group in NYC. And in the last year I’ve picked up the guitar, after not touching it since I was a teenager, and that has been very fulfilling.
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Malayalam fonts: Beyond Latin font metrics | Soliloquies
This year’s annual international conference organized by TeX Users Group — TUG2020 — was held completely online due to the raging pandemic. In TUG2020, I have presented a talk on some important Malayalam typeface design factors and considerations.
The idea and its articulation of the talk originated with K.H. Hussain, designer of well-known fonts such as Rachana, Meera, Meera Inimai, TNJoy etc. In a number of discussions that ensued, this idea was developed and later presented at TUG2020.
Opening keynote to TUG2020 was delivered by Steve Matteson, about the design of Noto fonts. He mentioned that Noto was originally envisaged to be developed as a single font containing all Unicode scripts; but that was changed due to a couple of reasons: (1) huge size of resulting font and (2) the design of many South/South-East Asian characters do not fit well within its Latin font metrics.
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Jérôme Gardou hired full-time to work on the memory manager
I proudly announce that ReactOS Deutschland e.V. has hired Jérôme Gardou to work full-time on the ReactOS kernel’s memory manager for the next 3 months.
Jérôme is a ReactOS veteran who has been contributing to the project since 2009. He has deep expertise into nearly all parts of ReactOS, ranging from various user-mode components (mostly related to low-level graphics) over their kernel-mode counterparts and down to bare-metal components like the kernel memory manager.
During the upcoming months, Jérôme is going to overhaul the Mm (Memory Manager) and Cc (Cache Controller) components of the kernel. Both of them are core parts of the operating system, which are involved in every memory request and file operation. Improving them is expected to have a substantial effect on the overall stability and performance of ReactOS.
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"Open-Source Windows" ReactOS To See Improved Memory Management - Phoronix
ReactOS Deutschland e.V. has hired one of their long-time contributors to work full-time on the "open-source Windows" implementation's memory management for the next quarter.
ReactOS is funding longtime contributor Jérôme Gardou to work full-time for the next three months on the open-source operating system's memory manager and cache controller code within its kernel.
ReactOS hopes this overhaul to the MM/CS code will yield "a substantial effect on the overall stability and performance of ReactOS."
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