Here's a partial release of a personal Unsplash data mining session: 100 of the Largest file-sized images from Unsplash, and 500 of the Smallest file-sized images. These images weigh (altogether) at a considerable size of 5 GB.
And with the download links out of the way, here's some analysis on the data
Top 100
Cameras
The most popular camera is the Nikon D800 - a pretty 36 MP DSLR. Next up is the Sony Alpha 7RM2 - an impressive 42 MP Mirrorless Camera. And in third place is the Canon EOS 5DS - a 50 MP DSLR. Pentax seems to have gotten some love (once). While brands like Panasonic, and devices like Smartphones, don't make the list.
Image Resolution
Average (Mean): 7167.51 x 5130.97 = 36.78 MP (Megapixels) ~ 17.7K
Average (Median): 7360.0 x 4912.0 = 36.15 MP (Megapixels) ~ 17.4K
For those wanting a quick and easy comparison between sRGB and Rec. 2020/Rec. 2100, here's the colour space mapped out on a CIE 1931 xy chromaticity diagram.
The summary is that screens supporting Rec. 2020 or Rec. 2100 offers a wider gamut than sRGB (40% wider).
Those deciding on the direction of the future of displays, especially the trend towards "HDR" technology, should look into Rec. 2100.
The following profile sheet can be used as a simple form to thoroughly survey someone, or as a template to create a fantasy character with.
Fields Given
Title, First Name, Last Name, Other Given Name(s)
Date of Birth, Age, Gender, Nationality
Hair Color, Eye Color
Height, Weight
Phone Number
Address: Suburb, Postcode/Zip, State, Country
Birthplace
Ethnic Background
Highest Year of Education, Occupation
Favorite Color, Favorite Food, Personality, Likes and Interests, Dislikes.
Note: for each of these links you can click or scroll down for more
Alternatively, the video below demonstrates the steps in motion... https://www.youtube.com/embed/Z0PZc7WqPtE
And that's it.
Just note that both technologies are unstable as of September 2016
Swift is a fairly immature programming language
Due to the absence tools like a beautifier - though third-party tools such as Haaakon's SwiftFormat https://github.com/haaakon/SwiftFormat does the trick
Due to missing tangible desires such as bug reports & support from fellow Windows users of Swift (of which there is none)
And with breaking changes each major version of Swift (which might be why the Swift 1.0 code you found won't work on Swift 2.2 or even Swift 3.0 beta).
Start Menu -> Search "Turn Windows features on or off"
Scroll Down to "Windows Subsystem for Linux (Beta)", and click the checkbox
Restart your computer, it should display a screen along the lines of "Configuring Windows", similar to a Windows Update
Once your computer has restarted, launch a normal Windows Command Prompt: Start Menu -> Search "Command Prompt" (or alternatively, cmd)
Type the command "bash", and press enter
Accept the T&C (or not, skipping this section and booting into Ubuntu is effectively the same)
Wait for the ~200MB Ubuntu Subsystem Image to Download, Extract and Install
And that's it! A mini non-Linux environment within Windows. Similar to how OS X does it, only 10 years behind.
Takes around 30 minutes.
Those Linux commands
With how administrative/root privileges work in WSL, you don't need "su/sudo" to run what are normally root commands (if you've skipped setting up the root user). apt-get install build-essential should work on its own.
The build-essential package is required to run Swift. Without it, Swift would just fail in executing scripts. Unfortunately, this is quite a large package on Ubuntu, and even on Windows its no exception.
So run the command and wait it out, a tip to speed up the process of downloading packages is shown in the video.
Running apt-get install clang allows for Swift code compilation support in Windows via swiftc (swiftc with build-essentials alone does not work). Interestingly the resulting binary that swiftc compiles is a native Linux/Ubuntu ELF instead of a Windows exe.
Takes around 30 minutes.
Swift
Download Swift from here: https://swift.org/download/, note that you'd want the Ubuntu 14.04 version, if still offered.
Extract the archive just like you would on Ubuntu (or extract it using the Windows method, whichever you prefer), and run /usr/bin/swift through bash.
Takes around 10 minutes.
And that's it! Swift (the programming language) running on Windows 10 using the Windows Subsystem for Linux!
Although REPL doesn't really work, and you're not exactly working with native Windows goodness.
BinChunker is an application that converts .bin "Disc Image" files to .iso with the help of a .cue file.
The application is unfortunately Unix-only (which includes Mac OS X and Linux) due to the use of a number of non-standard C headers - in fact, the code will fail to compile on a Windows "cross-native" Linux layer like MingW64
$ gcc bchunk.c -o bchunk
bchunk.c:61:24: fatal error: netinet/in.h: No such file or directory
#include <netinet/in.h>
^
compilation terminated.
Fortunately, a fix has been published by mzex for use of BinChunker on Windows, however it does not come with the source code (only a binary encoded in base64 format).
The "python.xml" file should be placed in "C:\Program Files (x86)\Notepad++\plugins\APIs" or "C:\Program Files\Notepad++\plugins\APIs", overwriting the pre-installed copy.