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+# Sorting algorithms
+
+Gettting the hang out of sorting algorithms.
+Hosted on [GitHub Pages](https://pages.github.com) at
+https://egor-tensin.github.io/sorting_algorithms/.
+
+## Algorithm implementations
+
+Sorting algorithms are implemented in separate Python scripts.
+You can test each of the implemented algorithms by passing a sequence of
+integer numbers to the corresponding script.
+
+Currently the following sorting algorithms are implemented:
+* bubble sort (`bubble_sort.py`),
+* heapsort (`heapsort.py`),
+* insertion sort (`insertion_sort.py`),
+* merge sort (`merge_sort.py`),
+* selection sort (`selection_sort.py`),
+* quicksort (`quicksort.py`).
+
+Some scripts actually implement more than one version of a sorting algorithm.
+For example, a quicksort is implemented in multiple versions depending on the
+choice of the pivot element.
+
+## Plots
+
+Running time of the implemented sorting algorithms is measured and plotted.
+The plots are stored in the `plots/` directory.
+
+Each algorithm is provided with three lists:
+* a list of sorted numbers,
+* a reversed list of sorted numbers,
+* and a list of numbers in random order.
+
+## Usage
+
+### Prerequisites
+
+To use this software, you need to be able to run Python 3 scripts.
+
+To plot a sorting algorithm, use `plot.py` (on Windows, you can also use
+`plot.bat`, which simply calls `plot.py` three times, providing the sorting
+algorithm with sorted, reversed, and randomized inputs).
+
+## Licensing
+
+This project, including all of the files and their contents, is licensed under
+the terms of the MIT License.
+See LICENSE.txt for details.