11/24/2023 0 Comments Cant trash duplicates in photosweeper![]() A lot of these might be duplicated because, for example, you were just trying out Lightroom and didn't want to commit to it so you put your pics there but also in Aperture. You should definitely read those.īut, while Apple and/or Dropbox get their act together (I'm not holding my breath), you have to make sense of your photos in your Pictures folder, in your Dropbox Photos folder, in various other Dropbox shared folders, on your Desktop, in your Lightroom, Aperture, and iPhoto collections, and so on. Peter Nixey has an excellent post on the disappointing state of affairs (to put it kindly) and an excellent follow-up on how Dropbox could fix it. This eats up precious storage space and makes finding that one photo an exercise in frustration. As new cameras, software, and online storage and sharing services come and go, our collections end up strewn all over the place, often in duplicate. It's no secret that the photo management problem is a huge mess. Read more… OSX software watch: use Photosweeper to remove duplicates in your image collection Since I rarely spend more than 24h without using my computer, I now have instant-on every time I open up my laptop! This changes the time to deep sleep to 24h. This will eat up your battery a bit more, but it's worth it. This is slow when your machine has 16GB of RAM! Thankfully, you can make your Mac wait any amount of time before going into deep sleep. On wake, it needs to load up all the RAM contents again. Oooh, sweet goodness: basically, after 1h10min asleep, your Mac goes into a "deep sleep" mode that dumps the contents of RAM into your HDD/SSD and powers off the RAM. Is Your Mac Slow to Wake from Sleep? Try this pmset Workaround Sure enough, I came across this excellent post from OS X Daily: After a few months of just accepting it as a flaw of the new machines and the cost of being an early adopter, I finally decided to look into the problem. However, it was taking way longer than my 13" MBP to wake up from sleep. Last year I got a 15" Retina Macbook Pro, an excellent machine. The article does suggest, however, that a change of mindset will push us to inventive solutions to our environmental problems. If we all lived like Americans, even four planet Earths would not be enough. Last year, Tim De Chant, an American journalist who runs the blog Per Square Mile, made striking depictions of the space required if everyone in the world live liked the inhabitants of a number of countries. When you look at the resources involved in maintaining even a single member of a developed society, it’s hard to avoid the knowledge that this cannot continue. It is time, though, to think of the world as a closed system. Even today, in the face of imminent climate change, we continue to function as though there’s more atmosphere somewhere, ready to whisk off our waste to someplace else. ![]() the general faith was that there were, say, more whales somewhere more trees somewhere. My suggestion would be "cumulative_reduce".Īnother link post, to a worthwhile article by Veronique Greenwood for Aeon (emphases mine):įor much of the thousands of years of human existence, our species has treated the world more or less as an open system. I would argue that "scan" here is neither distinctive (many other operations could be called "scan") nor meaningful (the function purpose is not at all clear from the name). # the final item is omitted from the result.įirst, this code ignores the article's own advice, (1b) make names consistent, distinctive, and meaningful. # value instead of with the first item in "values", and # If "seed" is given, the result is initialized with that # the result is "" (i.e., the running total of the # For example, if "op" is "add" and "values" is "", # from lowest to highest, returning a list of results. # Apply a binary operator cumulatively to the values given ![]() One of their code snippets, however, is pretty annoying: As such, it's a valuable addition to the written record on scientific computing. Its main points should be obvious to most quasi-experienced programmers, but I can certainly remember a time when they did not seem so obvious to me (last week I think). ![]() The bioinformatics community is all atwitter about the recent PLOS Biology article, Best Practices for Scientific Computing. ![]()
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