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Articles related to "work"


The 10 Apple Arcade launch games you have to play

  • You start each game with a series of cards face-up, which represent things like gold, weapons, enemies, health, and special magical scrolls.
  • It’s a pop music-styled arcade action game, where you control a skateboarding girl through a vibrant world of dance battles, motorcycle chases, and a story of inter-dimensional drama.
  • And like Mini Metro, the game features a handful of levels based on real-world cities, so you can test your urban planning skills against the sprawl of Los Angeles or the orderly density of Tokyo.
  • Once you finish a level, you’re treated to a flashback sequence, where the main character explores scenes from their youth — awkward moments at a part-time job, lonely times in an arcade — all rendered in a kind of Simlish-style language that gives the story a welcome sense of vagueness.

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Document reveals how Bureau of Land Management will spread offices across country in reorganization

  • Shepard, who worked at the agency for 38 years -- 11 of which he spent in the Washington headquarters, told CNN that 97% of bureau staff is already based outside of the District of Columbia, primarily in 12 Western states.
  • When CNN asked the Bureau of Land Management and the Interior Department about the internal document, the agencies did not address the document directly or answer questions about why certain offices were being split among different states.
  • An "international affairs specialist" -- which serves as the Bureau of Land Management liaison to the Department of Interior and Department of State -- is also being moved to Salt Lake City.
  • During a congressional hearing last week, Pendley said the Bureau of Land Management has not taken any survey of the number of employees who plan to leave rather than relocate.

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The Principle Of Association

  • I have called these kinds of associations "Leverage Points" in the past.
  • Leverage points, depending on what they are, usually will help to support both core pieces of what I see as forming your reputation - competence and standing-out.
  • If, for example, you have been featured by Google for writing a solid technical article, then placing this at the top of your resume (in an achievements section) will immediately associate yourself with Google.
  • Through my work with this site/newsletter, Coravel and writing some technical articles, I've had some awesome opportunities that I never expected.
  • I was featured by Microsoft on their main .NET community web site, on Steve Smith's podcast and recently on the .NET Core show - among other places.
  • Now, on my resume, I can point to the fact that I've been featured on this platform and potentially name off well-known community figures who have also been featured on these.

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The Principle Of Association

  • I have called these kinds of associations "Leverage Points" in the past.
  • Leverage points, depending on what they are, usually will help to support both core pieces of what I see as forming your reputation - competence and standing-out.
  • If, for example, you have been featured by Google for writing a solid technical article, then placing this at the top of your resume (in an achievements section) will immediately associate yourself with Google.
  • Through my work with this site/newsletter, Coravel and writing some technical articles, I've had some awesome opportunities that I never expected.
  • I was featured by Microsoft on their main .NET community web site, on Steve Smith's podcast and recently on the .NET Core show - among other places.
  • Now, on my resume, I can point to the fact that I've been featured on this platform and potentially name off well-known community figures who have also been featured on these.

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How to spot red flags in a data science job opportunity

  • I’ve experienced obvious defensiveness: the manager bristles and says of course that sort of accommodation has to happen sometimes and it’s not realistic to expect that it doesn’t, but they try to keep it to a minimum because really they need people to put in whatever work is needed.
  • I’ve experienced patronizing non-answers: the manager leans back in their chair and says something meaningless like “you know, we work hard and play hard here” or otherwise makes it clear that they’re using this as a teaching moment to educate me about what it means to do grown-up work.
  • If they can talk about data science in terms of durable product offerings, and how they decide what gets put in the product and what doesn’t, then I know I might want to work for them.

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From Academia to Kaggle: How a Physicist found love in Data Science

  • I work in Jupyter notebooks, and I am a big fan of Jupyter Lab. Bojan: Most of the time, I am focused on the outward-facing role(s) where I help our clients with the data science and ML problems that they are working on.
  • Bojan: One of the most important “meta” skills that you learn from participating in Kaggle competitions is to be able to adapt and try many different things quickly.
  • Bojan: There hasn’t been a better time than this, to start working in Data Science domain.
  • Whether you are just beginning or are a “seasoned” Data Science veteran, there are tons of resources out there that can help you on your journey: informative textbooks, blogs, and webinars; Kaggle; MOOCs; online forums; open-source software; accessible practitioners.
  • There hasn’t been a better time than this, to start working in Data Science domain.

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How to spot red flags in a data science job opportunity

  • I’ve experienced obvious defensiveness: the manager bristles and says of course that sort of accommodation has to happen sometimes and it’s not realistic to expect that it doesn’t, but they try to keep it to a minimum because really they need people to put in whatever work is needed.
  • I’ve experienced patronizing non-answers: the manager leans back in their chair and says something meaningless like “you know, we work hard and play hard here” or otherwise makes it clear that they’re using this as a teaching moment to educate me about what it means to do grown-up work.
  • If they can talk about data science in terms of durable product offerings, and how they decide what gets put in the product and what doesn’t, then I know I might want to work for them.

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Rodney Brooks – A Better Lesson

  • Just last week Rich Sutton published a very short blog post titled  The Bitter Lesson.
  • This resonates with a current mode of thinking among many of the newer entrants to AI that it is better to design learning networks and put in massive amounts of computer power, than to try to design a structure for computation that is specialized in any way for the task.
  • So my take on Rich Sutton’s piece is that the lesson we should learn from the last seventy years of AI research is not at all that we should just use more computation and that always wins.
  • Rather I think a better lesson to be learned is that we have to take into account the total cost of any solution, and that so far they have all required substantial amounts of human ingenuity.

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Postgres Makes Transactions Atomic

  • To avoid the neverending accumulation of rows that have been deleted and hidden, databases will eventually remove obsolete data by way of a vacuum process (or in some cases, opportunistic “microvacuums” that happen in band with other queries), but they’ll only do so for information that’s no longer needed by open snapshots.
  • As an optimization, Postgres will only assign a transaction a xid if it starts to modify data because it’s only at that point where other processes need to start tracking its changes.
  • While Postgres uses common lookup structures like B-trees to make retrievals fast, indexes don’t store a tuple’s full set of data or any of its visibility information.
  • By setting latestCompletedXid in global shared memory to the xid of the transaction that just committed, we’ve just made its results visible to every new snapshot that starts from this point forward across any backend.

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FEAR NO PHARAOH: Labor demonstrations have powered pay increases for 3,000 years. Here are 10 of the most impactful strikes — for better or worse.

  • Three weeks after the general strike, the city imposed a 10-hour workday and raised wages for some workers.
  • The strike occurred after workers for The Pullman Company, a luxury rail car service, called for better living conditions and higher wages.
  • Despite laws that prohibit federal workers from striking, USPS letter carriers defied their union and 30% of them went on a nationwide strike for eight days, the largest walkout of federal employees in history.
  • The Professional Air Traffic Controllers Organization had called for reduced work-weeks and a $10,000 pay increase across the board, a package that would cost the Federal Aviation Administration $770 million.
  • About 13,000 air traffic controllers went on strike, prompting former president Ronald Reagan to threaten to fire them if they don't return to work in 48 hours.

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