Python csv string to array
Anyone know of a simple library or function to parse a csv encoded string and turn it into an array or dictionary?
Anyone know of a simple library or function to parse a csv encoded string and turn it into an array or dictionary?
Classification problems, such as logistic regression or multinomial
logistic regression, optimize a cross-entropy loss.
Normally, the cross-entropy layer follows the softmax layer,
which produces probability distribution.
import os import subprocess proc = subprocess.Popen(['ls','*.bc'], stdout=subprocess.PIPE, stderr=subprocess.PIPE) out,err = proc.communicate() print out This script should print all the files with .bc suffix however it returns an empty list. If I do ls *.bc manually in the command line it works. Doing [‘ls’,’test.bc’] inside the script works as well but for some reason the … Read more
When screen-scraping some website, I extract data from <script> tags.
The data I get is not in standard JSON format. I cannot use json.loads().
I am trying to solve a big numerical problem which involves lots of subproblems, and I’m using Python’s multiprocessing module (specifically Pool.map) to split up different independent subproblems onto different cores. Each subproblem involves computing lots of sub-subproblems, and I’m trying to effectively memoize these results by storing them to a file if they have not been computed by any process yet, otherwise skip the computation and just read the results from the file.
What is the proper way to use **kwargs in Python when it comes to default values?
Searching the net this seems to be a problem caused by spaces in the Python installation path.
I am generating all possible three letters keywords e.g. aaa, aab, aac.... zzy, zzz below is my code:
Is there a more concise, efficient or simply pythonic way to do the following?
Say I have a column in a dataframe that has some numbers and some non-numbers