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update README for 0.8.9
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README.md

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@@ -679,18 +679,18 @@ At the same time, `tabulate` is comparable to other table
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pretty-printers. Given a 10x10 table (a list of lists) of mixed text and
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numeric data, `tabulate` appears to be slower than `asciitable`, and
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faster than `PrettyTable` and `texttable` The following mini-benchmark
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was run in Python 3.8.1 in Windows 10 x64:
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was run in Python 3.8.3 in Windows 10 x64:
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================================= ========== ===========
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Table formatter time, μs rel. time
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================================= ========== ===========
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csv to StringIO 12.0 1.0
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join with tabs and newlines 14.7 1.2
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asciitable (0.8.0) 189.6 15.8
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tabulate (0.8.8) 480.9 40.1
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tabulate (0.8.8, WIDE_CHARS_MODE) 610.2 50.8
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PrettyTable (2.0.0) 899.8 75.0
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texttable (1.6.3) 1117.3 93.1
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csv to StringIO 12.5 1.0
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join with tabs and newlines 15.6 1.3
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asciitable (0.8.0) 191.4 15.4
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tabulate (0.8.9) 472.8 38.0
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tabulate (0.8.9, WIDE_CHARS_MODE) 789.6 63.4
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PrettyTable (0.7.2) 879.1 70.6
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texttable (1.6.2) 1352.2 108.6
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================================= ========== ===========
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