response=requests.get(url)ifresponse.status_code==200:data=response.json()print(data)else:print("Error fetching data from API") 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 在上面的代码中,我们首先引入了requests库,并指定了一个API的URL。然后使用requests.get()方法来获取API的数据。如果响应状态码...
Selecting data from Database: cursor.execute("SELECT * FROM your_table") 4. Fetching Query Results Fetching data with a cursor: records = cursor.fetchall() for record in records: print(record) 5. Inserting Records To insert data into tables in a database: cursor.execute("INSERT INTO your...
async def fetch_user_data(user_id): print(f"Fetching data for user {user_id}...") ...
Or they can be web APIs, used for web-focused actions, such as liking images on your Instagram or fetching the latest tweets. No matter the type, all APIs function mostly the same way. You usually make a request for information or data, and the API returns a response with what you ...
defmy_data_processing_function: # Your data processing code here 将@timer与其他装饰器结合使用,可以全面地分析代码的性能。 2、@memoize:缓存结果 在数据科学中,我们经常使用计算成本很高的函数。@memoize装饰器帮助我缓存函数结果,避免了相同输入的冗余计算,显著加快工作流程: ...
defget_data_from_first_api(self,endpoint):try:response=requests.get(f"{self.base_url}/{endpoint}")response.raise_for_status()returnresponse.json()exceptrequests.exceptions.RequestExceptionase:print(f"Error fetching data from API:{e}")returnNone ...
print("Fetching data...") return datetime.now() print(time_sensitive_data()) # 首次获取数据 time.sleep(3) print(time_sensitive_data()) # 仍在缓存期内,返回旧数据 time.sleep(3) print(time_sensitive_data()) # 缓存已过期,重新获取数据 ...
pythonimportrequests video_ids=range(1,5653)forvideo_idinvideo_ids:url=f'https://api.qqsuu.cn/xjj/{video_id}.mp4'try:resp=requests.get(url)resp.raise_for_status()except Exceptionase:print(f'Error fetching video {video_id}: {e}')continuevideo_data=resp.content file_name=f'{video_id...
importrequestimportujson# Construct an HTTP POST requesturl='http://api.example.com/resource'# Set the request header to JSONheaders={'Content-Type':'application/json'}# Construct the request datapayload={'key1':'value1','key2':'value2'}json_payload=ujson.dumps(payload)# Send the HTTP ...
attempts += 1 time.sleep(delay) raise Exception("Max retry attempts exceeded.") return wrapper return decorator@retry(max_attempts=3, delay=2)def fetch_data_from_api(api_url): # Your API data fetching code here 使用@retry时应避免过多的重试。8、@visualize_results:漂亮的可视...