diff --git a/AleksTsHometask b/AleksTsHometask
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+++ b/AleksTsHometask
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+import requests
+import bs4
+from collections import Counter
+
+
+class CheckingPhenomenon:
+    """
+    Checks the famous Wikipedia phenomenon that clicking on the first link in the main text of any Wikipedia article,
+    and then repeating the process for subsequent articles, would usually lead to the "Philosophy" article.
+    Expected average number of links to get to "Philosophy" is 23, see the link below:
+        (https://en.wikipedia.org/wiki/Wikipedia:Getting_to_Philosophy)
+    Input:
+        starting_url - the url crawler starts from. If not given - random Wiki page is used
+        max_page_number - the max number of links to be visited by the crawler before it stops
+    Output:
+        prints a statement whether the phenomenon takes place under initial conditions (str)
+        prints ten mostly used words
+        prints average number of words per article (str)
+    Usage:
+        check_phenomenon = CheckingPhenomenon([url='your_url, max_page_number=int])
+        check_phenomenon.run()
+
+    Known issues:
+        After several runs with 1000 articles depths the phenomenon never appeared.
+        Possible reasons:
+            - Clicking on the first non-parenthesized, non-italicized link must be implemented. Current implementation
+            is clicking on any first link
+
+    Notes: Python >= 3.6 is required.
+           Author: Aleksandr Tsimbulov, worktsa@yandex.ru, 2018-07-04
+    """
+    def __init__(self, starting_url='https://en.wikipedia.org/wiki/Special:Random', max_page_number=100):
+        self._wiki_words_counter = Counter()
+        self._total_number_of_words_on_wiki_pages = 0
+        self._url = starting_url
+        self._max_page_number = max_page_number
+        self._content = None
+        self._visited_pages = set()
+        self._heading = None
+
+    def _parse_and_count_words(self):
+        # parse an article and count words for statistics
+        resp = requests.get(self._url)
+        current_url = resp.url
+        self._visited_pages.add(current_url)
+        soup = bs4.BeautifulSoup(resp.text, "html.parser")
+        self._heading = soup.find(id='firstHeading')
+        self._content = soup.find(id='mw-content-text')
+        words = self._get_words_from_page()
+        self._wiki_words_counter += Counter(words)
+        self._total_number_of_words_on_wiki_pages += len(words)
+        self._find_and_save_next_url(current_url)
+
+    def _find_and_save_next_url(self, current_url):
+        # avoiding inf loops and bad links
+        good_url_tags = self._content.find_all(self._check_good_link)
+        for tag in good_url_tags:
+            new_url = f"https://en.wikipedia.org{tag['href']}"
+            if new_url not in self._visited_pages:
+                self._url = new_url
+                break
+        if self._url == current_url:
+            print(f'Infinite loop among wiki pages have been found')
+            print(f'Current url for that page in {self._url}')
+            exit(code=0)
+
+    def _get_words_from_page(self):
+        # collect all of the words stripped lowercased words from the content of wiki page
+        content = self._content
+        list_of_words = []
+        for list_or_word in [text.split() for text in content.stripped_strings]:
+            prepared_word = ''  # in order to deprecate the warning
+            if isinstance(list_or_word, list):
+                for word in list_or_word:
+                    prepared_word = self._strip_and_lowercase_the_word(word)
+            elif isinstance(list_or_word, str):
+                prepared_word = self._strip_and_lowercase_the_word(list_or_word)
+            if prepared_word:
+                list_of_words.append(prepared_word)
+        return list_of_words
+
+    @staticmethod
+    def _check_good_link(tag):
+        # filter external and inappropriate links
+        return tag.name == 'a' and tag.has_attr('href') and tag['href'].startswith('/wiki') and ':' not in tag['href']
+
+    @staticmethod
+    def _strip_and_lowercase_the_word(word):
+        # preparing words for statistics
+        prepared_word = word.strip('()^%#@&!?-.,[]:;"\'\/\\')
+        prepared_word = prepared_word.lower()
+        return prepared_word
+
+    def _print_statistics(self, number_of_iterations):
+        # printing general statistics
+        print(f'The ten of the mostly used words in Wiki during our experiment are:'
+              f' {self._wiki_words_counter.most_common(10)}')
+        print(f'Average number of words into Wiki articles are: '
+              f'{self._total_number_of_words_on_wiki_pages // number_of_iterations}')
+
+    def run(self):
+        # main crawler loop
+        for i in range(self._max_page_number):
+            try:
+                self._parse_and_count_words()
+                print(self._heading.text)  # to see some output during runtime
+                if self._heading.text == "Philosophy":
+                    print(f'The Wiki phenomenon exist! Got to "Philosophy" page in {i} iterations')
+                    self._print_statistics(i+1)
+                    exit(code=0)
+            except Exception as e:
+                # needs to be more specific
+                print(e)
+                exit()
+        print(f'During {self._max_page_number} iterations no Wiki phenomenon found. You might want to increase the '
+              f'number of iterations or start with the other page')
+        self._print_statistics(self._max_page_number)
+
+
+if __name__ == '__main__':
+    check_phenomenon = CheckingPhenomenon(max_page_number=1000)
+    check_phenomenon.run()