Readability mainly consists of heuristics that “just somehow work well” in many cases. I have written some research papers about this topic and I would like to explain the background of why it is easy to come up with a solution that works well and when it gets hard to get close to 100% accuracy. … Read more
I was given a 400 page pdf file with a table of data that I had to import – luckily no images. Ghostscript worked for me: gswin64c -sDEVICE=txtwrite -o output.txt input.pdf The output file was split into pages with headers, etc., but it was then easy to write an app to strip out blank lines, … Read more
>>> import numpy as np >>> A = np.array([[1,2,3,4],[5,6,7,8]]) >>> A array([[1, 2, 3, 4], [5, 6, 7, 8]]) >>> A[:,2] # returns the third columm array([3, 7]) See also: “numpy.arange” and “reshape” to allocate memory Example: (Allocating a array with shaping of matrix (3×4)) nrows = 3 ncols = 4 my_array = numpy.arange(nrows*ncols, dtype=”double”) … Read more