PDF bleed detection
I’m currently writing a little tool (Python + pyPdf) to test PDFs for printer conformity.
I’m currently writing a little tool (Python + pyPdf) to test PDFs for printer conformity.
Believe it or not, after profiling my current code, the repetitive operation of numpy array reversion ate a giant chunk of the running time. What I have right now is the common view-based method:
I want to repeat elements of an array along axis 0 and axis 1 for M and N times respectively:
I have a dictionary with character-integer key-value pair. I want to remove all those key value pairs where the value is 0.
I’m trying to figure out how to properly use a WHERE _ IN _ statement
I am storing a phone number in model like this:
I have a string S = '02143' and a list A = ['a','b','c','d','e']. I want to replace all those digits in ‘S’ with their corresponding element in list A.
I am reading data from a CSV file (xyz.CSV) which contains below data:
Is there any short way to achieve what the APT (Advanced Package Tool) command line interface does in Python?
In a program I’m writing the need to rotate a two-dimensional array came up. Searching for the optimal solution I found this impressive one-liner that does the job: