Commit ff946125 authored by CharlieC's avatar CharlieC
Browse files

Update snippet links.

--HG--
branch : 3.0
parent 19c16fb7aee3
Pipeline #19672 passed with stage
in 3 minutes and 28 seconds
......@@ -21,11 +21,11 @@ Write Performance
+++++++++++++++++
The `benchmark code
<https://bitbucket.org/snippets/charlie_x/5edaGE/write-performance-benchmark>`_
<https://foss.heptapod.net/openpyxl/openpyxl/-/snippets/66>`_
can be adjusted to use more sheets and adjust the proportion of data that is
strings. Because the version of Python being used can also significantly
affect performance, a `driver script
<https://bitbucket.org/snippets/charlie_x/gebj7M/drive-a-script-through-different-python>`_
<https://foss.heptapod.net/openpyxl/openpyxl/-/snippets/67>`_
can also be used to test with different Python versions with a tox
environment.
......@@ -43,7 +43,7 @@ older xlrd library. xlrd is primarily for the older BIFF file format of .XLS
files but it does have limited support for XLSX.
The code for the `benchmark
<https://bitbucket.org/snippets/openpyxl/Ee9zqo>`_ shows the importance of
<https://foss.heptapod.net/openpyxl/openpyxl/-/snippets/68>`_ shows the importance of
choosing the right options when working with a file. In this case disabling
external links stops openpyxl opening cached copies of the linked worksheets.
......@@ -66,7 +66,7 @@ gained by parallelisation. However, if you are mainly interested in dumping
the contents of a workbook then you can use openpyxl's read-only mode and
open multiple instances of a workbook and take advantage of multiple CPUs.
`Sample code <https://bitbucket.org/snippets/openpyxl/AexG8E>`_ using the
`Sample code <https://foss.heptapod.net/openpyxl/openpyxl/-/snippets/69>`_ using the
same source file as for read performance shows that performance scales
reasonably with only a slight overhead due to creating additional Python
processes.
......
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