diff --git a/exercises/1901100132/d08/main.py b/exercises/1901100132/d08/main.py
new file mode 100644
index 000000000..152c1b45a
--- /dev/null
+++ b/exercises/1901100132/d08/main.py
@@ -0,0 +1,24 @@
+from mymodule import stats_word
+import traceback
+import logging
+
+logger = logging.getLogger(__name__)
+
+def test_traceback():
+    try:
+        stats_word.stats_text(1)
+    except Exception as e:
+        print('test_traceback =>', e)
+        print(traceback.format_exc())
+
+def text_logger():
+    try:
+        stats_word.stats_text(1)
+    except Exception as e:
+        #print('test_logger =>', e)
+        logger.exception(e)
+
+if __name__ == "__main__":
+    test_traceback()
+    text_logger()
+    
diff --git a/exercises/1901100132/d08/mymodule/stats_word.py b/exercises/1901100132/d08/mymodule/stats_word.py
new file mode 100644
index 000000000..655a81bce
--- /dev/null
+++ b/exercises/1901100132/d08/mymodule/stats_word.py
@@ -0,0 +1,87 @@
+# 统计参数中英文单词出现的次数
+def stats_text_en(text):
+    if not isinstance(text, str):
+        raise ValueError('参数必须是 str 类型, 输入类型 %s' % type(text))
+    elements = text.split()
+    words = []
+    symbols = ',.*-!'
+    for element in elements:
+        for symbol in symbols:
+            element = element.replace(symbol, '')
+        if len(element) and element.isascii():
+                words.append(element)
+    counter = {}
+    word_set = set(words)
+
+    for word in word_set:
+        counter[word] = words.count(word)
+    return sorted(counter.items(), key=lambda x: x[1], reverse=True)
+
+#统计参数中每个中文汉字出现的次数
+def stats_text_cn(text):
+    if not isinstance(text, str):
+        raise ValueError('参数必须是 str 类型, 输入类型 %s' % type(text))
+    cn_characters = []
+    for character in text:
+        if '\u4e00' <= character <= '\u9fff':
+            cn_characters.append(character)
+    counter = {}
+    cn_character_set = set(cn_characters)
+    for character in cn_character_set:
+        counter[character] = cn_characters.count(character)
+    return sorted(counter.items(), key=lambda x: x[1], reverse=True)
+
+        
+en_text = '''
+The Zen of Python , by Tim Peters
+
+Beautiful is better than ugly.
+Explicit is better than implcit.
+Simple is better than complex.
+Complex is better than complicated.
+Flat is better than nested.
+Sparse is better than dense.
+Readability counts.
+Special cases are't special enough to break the rules.
+Although practicality beats purity.
+Unless explicitly silenced.
+In the face of ambxiguity, refuse the temptation to guess.
+There should be one --- and preferably only one -- obvious way to do it.
+Although the way may not be obvious at first unless you are a Dutch.
+Now is better than never.
+Although never is better than *right* now.
+If the implementation is hard to explain, it's a bad idea.
+If the implementation is easy to explain, it's maybe a good idea.
+Namespaces are one honking great idea --- let's do more of those!
+'''
+
+cn_text = '''
+Python 之禅 by Tim Peters
+
+优美胜于丑陋
+明了胜于晦涩
+简介胜于复杂
+复杂胜于凌乱
+扁平胜于嵌套
+间隔胜于紧凑
+可读性很重要
+即便假借特例的实用性之名，也不可违背这些规则
+不要包含所有错误，除非你确定需要这样做
+当存在多种可能，不要尝试去猜测
+而是尽量找一种，最好是唯一一种明显的解决方案
+虽然这并不容易，因为你不是Python 之父
+做也许好过不做，但不假思索就动手还不如不做 
+'''
+
+def stats_text(text):
+    #合并英文词频和中文词频
+    if not isinstance(text, str):
+        raise ValueError('参数必须是 str 类型, 输入类型 %s' % type(text))
+    return stats_text_cn(text) + stats_text_en(text)
+
+if __name__ == '__main__':
+    en_result = stats_text_en(en_text)
+    cn_result = stats_text_cn(cn_text)
+    print('统计参数中每个英文单词出现的次数 ==>\n', en_result) 
+    print('统计参数中每个中文汉字出现的次数 ==>\n', cn_result)
+