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Reading a file line by line in Go
...ver a file, it would be trivial to first file, _ := os.Open("/path/to/file.csv") and then scan over the file handle: scanner := bufio.NewScanner(file)
– Evan Plumlee
Aug 18 '13 at 13:28
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Downloading a large file using curl
...URLOPT_RETURNTRANSFER has to be true in case you are getting file like pdf/csv/image etc.
You may find the further detail over here(correct url) Curl Doc
From that page:
curl_setopt($request, CURLOPT_TIMEOUT, 300); //set timeout to 5 mins
curl_setopt($request, CURLOPT_RETURNTRANSFER, true); // t...
How do I add files without dots in them (all extension-less files) to the gitignore file?
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In my folders there are lots of files with *.c, *.h, *.txt, *.csv etc. extensions and binary files without any extension. So I needed to ignore all files execpt *.c,*.h and .gitignore, So this works for me, from the .gitignore example:
*/* #ignore all files in each directory
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REST / SOAP endpoints for a WCF service
...e it hosted on many different endpoints (i.e. SOAP + REST, with XML, JSON, CSV, HTML outputes). You should also consider using ServiceStack which I've built for exactly this purpose where every service you develop is automatically available on on both SOAP and REST endpoints out-of-the-box without a...
Read a text file using Node.js?
... large, as it will be all be read into memory, if you process say a 1000mb CSV file look at fs.createFilestream, you will need to take care with line splitting though as the data chunks wont (in most cases) fall on the line boundaries (some people have already came up with solutions - google)
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Real World Example of the Strategy Pattern
...call
Outputting: We need to output X as a plain string, but later may be a CSV, XML, JSON, etc.
Examples
I have a project where the users can assign products to people in a database. This assignment of a product to a person has a status which is either "Approved" or "Declined", which is depende...
Parse usable Street Address, City, State, Zip from a string [closed]
...f those 10 addresses are valid.)
Here's some of the output:
And here's the CSV-formatted output of that same request:
ID,Start,End,Segment,Verified,Candidate,Firm,FirstLine,SecondLine,LastLine,City,State,ZIPCode,County,DpvFootnotes,DeliveryPointBarcode,Active,Vacant,CMRA,MatchCode,Latitude,Longitude...
“Large data” work flows using pandas
...ation itself: "If you are looking to manage a terabyte or less of tabular CSV or JSON data, then you should forget both Spark and Dask and use Postgres or MongoDB."
– Michele Piccolini
Jul 30 at 15:51
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Getting individual colors from a color map in matplotlib
...he solutions from Ffisegydd and amaliammr, here's an example where we make CSV representation for a custom colormap:
#! /usr/bin/env python3
import matplotlib
import numpy as np
vmin = 0.1
vmax = 1000
norm = matplotlib.colors.Normalize(np.log10(vmin), np.log10(vmax))
lognum = norm(np.log10([.5, ...
Python: fastest way to create a list of n lists
...et with say 50 rows and 20 columns. ie. Train[0] gives me the 1st row of a csv file, train[1] gives me the 2nd row and so on. I am interested in separating the dataset with 50 rows as one list, except the column 0 , which is my explained variable here, so must be removed from the orignal train datas...