girzel
Remote: Yes, or in-office/hybrid
Willing to relocate: No
Technologies: Python (Django/FastAPI), SQL, AWS
Resume: https://ericabrahamsen.net/EricAbrahamsen.pdf
Email: [email protected]
I have nearly 20 years of Python experience, and 10 years of AWS experience. I thrive under constraints and pressure, am open to new challenges, and love to learn. I have proven ability to take new products from concept/design to working prototype, and am ideal as an early-stage 0-to-1 engineer. I'm also interested in sharing my experience as leader of a small team.
Location: Seattle, USA
Willing to relocate: No
Main Technologies: Python, PostgreSQL, more than I ever wanted to know about AWS
Resume: https://ericabrahamsen.net/EricAbrahamsen_0505b.pdf
Email: [email protected]
Remote: Remote or hybrid (or in-office if there's a good reason!)
Willing to relocate: No
LinkedIn: https://www.linkedin.com/in/eric-abrahamsen-32a8895b/
I am a problem solver, and my main tools are Python and Postgres, though my programming approach is informed by Lisp (many years of Emacs contributions), Prolog (the best kind of mind-bending) and OCaml (which I wish I was writing instead of Python).
I would like to be solving real-world problems: energy, logistics, communications, governance, trash removal. It's amazing what you can find out if you talk to people about their problems, and its amazing what you can solve with a concoction of fairly straightforward data science, ML, calculus, signal processing, and Rube Goldberg machines.
Email in profile.
I do feel like the core of it is essentially exponential/logarithmic growth/decay, with the option to layer multiple higher-order growth/decay series on top of one another. Maybe that's the gist...
I read Feedback Control for Computer Systems not too long ago, which felt like yet another restatement of the same ideas; I guess that counts as "classic control theory".
I also felt like the essay suffered a lot from generalization -- Harrison happened to talk to these three people, and extrapolated way too much from that.
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...
That book mentions alpha-beta filters as sort of a younger sibling to full-blown Kalman filters. I recently had need of something like this at work, and started doing a bunch of reading. Eventually I realized that alpha-beta filters (and the whole Kalman family) is very focused on predicting the near future, whereas what I really needed was just a way to smooth historical data.
So I started reading in that direction, came across "double exponential smoothing" which seemed perfect for my use-case, and as I went into it I realized... it's just the alpha-beta filter again, but now with different names for all the variables :(
I can't help feeling like this entire neighborhood of math rests on a few common fundamental theories, but because different disciplines arrived at the same systems via different approaches, they end up sounding a little different and the commonality is obscured. Something about power series, Euler's number, gradient descent, filters, feedback systems, general system theory... it feels to me like there's a relatively small kernel of intuitive understanding at the heart of all that stuff, which could end up making glorious sense of a lot of mathematics if I could only grasp it.
Somebody help me out, here!
It sounds like this guy visited during a "mean" period, which is too bad. I attended during an upswing into a "nice" period, and it felt well balanced. My application interview was one of the most memorable experiences of my life -- I'd never had anyone pay that kind of close attention to anything I'd written, or what I thought. It woke me all the way up, in a sense where I'd gone through most of my teenage years asleep, and was enormously bracing. When they finally let me out, I emerged into the main room, where some guy reading on a sofa looked up and asked, "How was it?" I don't remember exactly what I said, but it communicated something along the lines of "holy shit that was a thrill!". I still suspect he communicated my attitude back to the applications committee and that played a part in getting accepted.
So far as I know, no one during my two years visited the Cottontail Ranch :)
I have a Das Keyboard that I am very fond of, but over the years have definitely started to wonder why a) the rows are staggered, and b) it isn't split. There's just so little reason to stick to this form-factor.
Thanks again!
>>> from types import SimpleNamespace
>>> d = {"one":1, "two":2}
>>> ns = SimpleNamespace(**d)
>>> ns.two
2
Tell me how COVID ruined our citizens' moral fiber. Tell me how COVID made us soft on crime. Tell me how COVID suddenly tripled our population of mentally ill.
If we'd actually defunded the police, instead of saying we wanted to and then not, maybe there would be some money to care for people who are obviously incapable of caring for themselves. If we taxed our local corporations at all, maybe there would be some money for that.
Yes, there are plenty of people on drugs. You can put them in jail, and see where that gets you. Or you can treat addiction like the public health crisis it is. Fund the goddamn services, with tax money from Amazon.
This is the key, to me. Amazon moving out because of crime seems like some kind of full-circle irony, when they have contributed so much to that inequality in the first place.
I grew up in Seattle, and live here now. Crime and homelessness has been an issue for a decade or so, and it's become a much bigger issue (more spread out than it was) since COVID. None of that indicates getting "tougher" on crime/homelessness as a solution to our problems. Not to me, anyway.
I guess a variant of the network effect?
Mizimura's "defense" of her writing against English; the elevation that occurs for a non-English writer when they are translated into English; the perceived "universality" of English; the resultant cultural guilt of English speakers: these are manifestations of power.
Likewise, the deracination of English, its divorce from specific place and people, is a result of power. He seems to think it is a result of a change in the culture: "I began to wonder if the culture that threatened other languages was hollowing out English, too. That culture goes by many disparaging names. It was called “corporate,” “capitalist,” “neoliberal”; it was taught as “Business English.” It was the vehicle of the infrastructure, for the most basic communication: for checking into a hotel, sending an email, participating in a sales conference."
But this is not a cultural problem, it is a power problem. Power in our current (American) society is inherent in the infrastructure he mentions. It exists within the movement of capital, within corporate law, within lobbying, within international trade. Language becomes hollowed out and denatured in this situation, because there is no culture, culture is not required to run the machines of power.
Likewise the observation that the international literature that we're comfortable with (I say "we" here, as I am also a white, middle-aged, middle-class, American literary translator) reads much like our own. We seek out foreign literature that feels like it was written for us: it feels that way because it was written by and for an equivalent socioeconomic class, one that simply hails from a different country. Moser says we might benefit more from reading literature from Paris, Texas than we would from Paris, France: that is because this putative literature from Texas comes from a world that does not have power. It is more educational to reach across power boundaries than it is to reach across language boundaries -- if all you end up finding in the latter case is your international peers.
He describes a language as an old city, and says very emphatically that what is needed to keep that city in good repair is people, the participation of people and their community. But that is exactly what we don't need in middle and upper class America. We do not have culture. We have structures of power, and culture is surplus to its purposes. The English language as we speak it now seems flat and vacuous because it is not strictly necessary; it is providing no vital function. Tweets and memes are sufficient for us, because almost nothing that matters in the system we live in depends on the skillful, thoughtful use of language. There's no sense in mourning young people's lack of reading habits. Nothing they find in those books will tell them how they might live in the world. The books are no longer necessary to them in a way that they might have been necessary to earlier generations.
This is an overly pessimisstic statement of the situation! And I am only partly Marxist -- I do not believe that it's all down to economics. But I believe we've created a machine, which we live inside of, which requires us to exercise very few of our human faculties in order to sustain its operation. It is no surprise if we start to lose those faculties.
But so much of the syntax, particularly around function calls, is simply a long row of whitespace-separated tokens, and I feel like my brain has to do extra work to parse what's what, and figure out associativity, and constantly remember what the ~ and the ? are doing. This[1] section of the tutorial makes perfect sense when you read it, but that doesn't mean you can easily scan a long function call with a lot of arguments, and instantly see what's happening.
The block-level syntax is great. But it got to the point where if I didn't write/read OCaml for a few days in a row, I forgot how it worked. And that's simply calling a function, nothing esoteric.
[1]: https://ocaml.org/learn/tutorials/labels.html#When-and-when-...
There's too little of it! OCaml seems to take a "you don't need syntax except when you need syntax" approach, which I found very destabilizing. One of the major online OCaml tutorials said something like "If it doesn't work the way you expect, try adding parentheses", and I thought "Oh hell no. In a Lisp I know exactly how many parentheses I need: all of them". I prefer not having to think about it, and letting the parentheses become invisible to me.
But otherwise I have a deep and irrational fondness for the language, and still wish I'd been able to make it stick.
> Millions of people of all walks of life have been buying firearms in record numbers as more rational people reject the culture war around this topic and recognize the need for self defense is still very real, even in an ‘advanced’ society. Women, liberals, urbanites, and people of color are some of the fastest growing groups of firearm owners, for example.
> Regardless of politics or background, you are welcome here. We believe in modern and responsible gun ownership — and think our communities and civil debates will be much better off if people at least accurately understood the topic of firearms before arguing about or fearing them.
I'm on year three of meditating, and the above sounds a lot like one of the primary "jobs" of meditation: to break down habitual thoughts and reactions, and apprehend things more directly. This applies more to the emotions and reason than it does directly to the senses (as in LSD), but it can result in absorptive states (jhana) that feel a lot like the oceanic flow you get from mushrooms.
Coincidentally, my youngest daughter is nearly three years old, and it's been a weird experience watching her developing brain furiously piecing together the ego, sense of self, and habits of thought that I, forty years older, am now furiously trying to break down.