Python知識圖譜是一個將Python編程語言相關的概念、實體和關系整合成一個結構化的圖形化展示的軟件工具。它提供了一種方便的方式來探索和理解Python編程語言，可以幫助開發者更好地學習和應用Python。

# 示例代碼
import requests
import json
url = "http://127.0.0.1:7474/db/data/transaction/commit"
headers = {
'content-type': "application/json",
'authorization': "Basic bmVvNGo6MTIzNDU2"
}
# 查詢所有函數節點
data = '{"statements":[{"statement":"MATCH (n:Function) RETURN n"}]}'
response = requests.post(url, headers=headers, data=data)
result = json.loads(response.text)
nodes = result['results'][0]['data']
# 查詢所有模塊節點
data = '{"statements":[{"statement":"MATCH (n:Module) RETURN n"}]}'
response = requests.post(url, headers=headers, data=data)
result = json.loads(response.text)
nodes += result['results'][0]['data']
# 構建知識圖譜中的節點和關系
nodes_dict = {}
relationships = []
for node in nodes:
for item in node['row'][0]:
if 'name' in item:
if item['name'] not in nodes_dict:
nodes_dict[item['name']] = {'labels': item['type'], 'properties': item['properties']}
if 'target' in item:
relationships.append({'type': item['type'], 'source': nodes_dict[item['source']]['labels'], 
'source_name': item['source'], 'target': nodes_dict[item['target']]['labels'], 
'target_name': item['target']})
# 輸出圖譜節點和關系
print('Nodes:')
for node in nodes_dict:
print('Name:', node)
print('Labels:', nodes_dict[node]['labels'])
print('Properties:', nodes_dict[node]['properties'])
print()
print('Relationships:')
for relationship in relationships:
print('Type:', relationship['type'])
print('Source:', relationship['source'], '('+relationship['source_name']+')')
print('Target:', relationship['target'], '('+relationship['target_name']+')')
print()

上述代碼展示了Python知識圖譜的構建過程，其中利用了REST API調用Neo4j圖數據庫進行數據查詢和節點關系構建。代碼輸出了知識圖譜中的所有節點和關系，可以方便地展示Python編程語言的概念和實體之間的聯系。