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+Sorting algorithms
+==================
+
+[![CI](https://github.com/egor-tensin/sorting-algorithms/actions/workflows/ci.yml/badge.svg)](https://github.com/egor-tensin/sorting-algorithms/actions/workflows/ci.yml)
+
+Getting the hang out of (sorting) algorithms.
+See also https://tensin.name/sorting-algorithms/.
+
+Prerequisites
+-------------
+
+* Python 3.4 or higher
+* [matplotlib]
+* [numpy] (required by [matplotlib])
+
+[matplotlib]: http://matplotlib.org/
+[numpy]: http://www.numpy.org/
+
+Algorithms
+----------
+
+Each of the implemented sorting algorithms resides in a separate Python module
+(in the `algorithms.impl` package).
+The implemented algorithms are listed below.
+
+| Module name | Description
+| ---------------- | --------------
+| `bubble_sort` | Bubble sort
+| `heapsort` | Heapsort
+| `insertion_sort` | Insertion sort
+| `median` | Median value
+| `merge_sort` | Merge sort
+| `quicksort` | Quicksort
+| `selection_sort` | Selection sort
+
+Some algorithms actually come in different variants.
+For example, the implementation of quicksort includes a number of versions
+depending on how the pivot element is chosen, be it the first, the second, the
+middle, the last or a random element of the sequence.
+
+Testing
+-------
+
+You can test each of the algorithms above by passing a sequence of integer
+numbers to the corresponding script.
+
+```
+> python -m algorithms.impl.heapsort 5 3 4 1 2
+[1, 2, 3, 4, 5]
+```
+
+```
+> python -m algorithms.impl.quicksort 5 3 4 1 2
+[1, 2, 3, 4, 5]
+[1, 2, 3, 4, 5]
+[1, 2, 3, 4, 5]
+[1, 2, 3, 4, 5]
+[1, 2, 3, 4, 5]
+```
+
+You can use "test.py" to quickly generate an input list of some kind and
+display the result of executing one of the implemented algorithms.
+Consult the output of `test.py --help` to learn how to use the script.
+
+```
+> ./test.py --input best --length 1000 median_heaps
+499.5
+```
+
+```
+> ./test.py --input worst --length 10 quicksort_random
+[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
+```
+
+Plotting
+--------
+
+You can generate similar plots you might've seen at
+https://tensin.name/sorting-algorithms/ using "plot.py".
+Consult the output of `plot.py --help` to learn how to use the script.
+
+```
+> ./plot.py merge_sort --min 0 --max 200 --input best --iterations 1000
+```
+
+```
+> ./plot.py median_sorting --min 0 --max 200 --input average --iterations 100 --output median_sorting.png
+```
+
+If you're having problems using the script (like having excessive noise in the
+measurement results), try minimizing background activity of your OS and
+applications.
+For example, on Windows 8.1 I got very reasonable plots after booting into Safe
+Mode and running the script with a higher priority while also setting its CPU
+affinity:
+
+```
+> start /affinity 1 /realtime plot.py ...
+```
+
+License
+-------
+
+Distributed under the MIT License.
+See [LICENSE.txt] for details.
+
+[LICENSE.txt]: LICENSE.txt