Run 16 bit applications on Windows 10 32bit

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It’s the end of the year surge for many to move from Windows 7 to Windows 10. Often businesses IT support may not understand or consider how support for legacy equipment or devices still in service rely on older 16 bit programming or configuration software.The simple suggestion that one should keep an older laptop around with an operating system which is no longer receiving security and update patches is potentially problematic. Some hesitation in doing so has been noted from users who are somewhat apprehensive about leaving older 32 and or 16 bit programs behind.There are some users who previously relied on Virtual XP to run older software.While my initial reaction is usually to consider using Wine on a Linux machine to continue running older 32 bit Windows applications, it is not always

Thanksgiving – Weathering the Storm

Blog, Linux, Recent Posts, Software, Windows
Yesterday, while sitting in Starbucks writing a few notes with my iPhone and waiting for my coffee, I could see storm clouds darkening the sky far off in the distance. It's not an unusual sight and often is nothing to get too excited about. The news reports have all been about the high winds and wintry weather warnings due in our area. I’m referring to the news I actually pay any attention to. Politics are avoided. With Thanksgiving in a few days, it’s not a bad strategy to avoid unnecessary nonsense. Now a day later I can hear the rain on the roof of the shop start tapping along with the blowing wind as the temperature drops down to a more seasonable cool temperature range of misery. I had spent some time earlier this morning playing around with the Chromebook’s Linux beta support and

It’s Halloween night.

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The wind is howling and the rain is pounding. I can hear it on the roof of my secret laboratory, I mean work shop. It is not a great night for Trick or Treating, but perfect for watching some classic monster movies from the 1930’s and 40’s. Think Boris Karloff or Bela Lugosi. Perfect movies to have playing in the background on such a night as this. On Halloween a pizza (preferably a garlic pizza) is traditionally a good option, or just a good cup of coffee to warm you up near a cozy fire. It’s a spooky night for sure. My work shop is dry and well lit, but I do keep one eye on the door just in case I hear it creaking open or the wind catches it. No walking dead zombies to worry about here I hope, unless you’re referring to the latest Windows 10 updates. I haven’t even bothered with the lat

Getting Weirder out there

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Yes, things are getting crazy out there. If you watch the news you see a lot of strange things that really seem too weird to be true, but apparently this is the new normal. When news shifts from information to opinion, reliability suffers. I have nothing against expressing opinions, but presenting one’s opinion as the only truth is irresponsible. I have my point of view, but you may have an opposing or different one. That is totally understandable and deserves appreciation. We all may have a slightly different view of the world. Computers on the other hand may have a predetermined processing of the world based on their programming, information availability, and potentially skewed processing algorithms. This doesn’t disqualify a machine’s ability to formulate an accurate composite of re
Renaming Columns with R

Renaming Columns with R

Recent Posts, Data Science Using R
Often data you’re working with has abstract column names, such as (x1, x2, x3…). Typically, the first step I take when renaming columns with r is opening my web browser.  For some reason no matter the amount of times doing this it’s just one of those things. (Hoping that writing about it will change that) The dataset cars is data from the 1920s on "Speed and Stopping Distances of Cars". There is only 2 columns shown below. colnames(datasets::cars) [1] "speed" "dist" If we wanted to rename the column "dist" to make it easier to know what the data is/means we can do so in a few different ways. Using dplyr: cars %>% rename("Stopping Distance (ft)" = dist) %>% colnames() [1] "speed" "Stopping Distance (ft)" cars %>% rename("Stopping Di