Thanks, I'll check them out. On Thu 19 Apr, 2018, 01:08 Wes Turner, <wes.turner@gmail.com> wrote:

This is the python distutils list for discussions regarding python packaging.

For help with using the Python standard library, try the docs and/or the python tutor mailing list.

https://www.google.com/search?q=site:docs.python.org+tsv

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What you describe should be possible by setting delimiter='\t' with csv.reader with the CSV module in the Python standard library:

https://docs.python.org/3/library/csv.html#csv.reader https://docs.python.org/3/library/csv.html#csv.Dialect.delimiter

Various third party packages are faster at reading delimited files or have additional useful functionality:

http://docs.python-tablib.org/en/master/

https://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html

https://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html#n...

https://pandas.pydata.org/pandas-docs/stable/io.html#csv-text-files https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html

On Wednesday, April 18, 2018, Niharika Jakhar <niharika1883@gmail.com> wrote:

...

Hello

I am having trouble opening and reading a Tab separated file(big data). I stored the data the data in a list and then used the split function (\t) to tried to print a list of 0 to 100 position. But it is resulting in random values from the files.

Please let me know, if you deal with such queries, if not, can you please suggest me some good source in order to solve this problem.

Thanking you in advance

Best regards NIHARIKA