Problems with python multi-threaded task distribution

I now want to crawl a website content with multiple threads. Assume that the website content has 105 pages, but due to machine limitations, only ten threads can be enabled for crawling. So how do I make the first thread responsible for crawling pages 1-10? The two threads capture pages 11-20 and so on, until the tenth thread is responsible for grabbing pages 91-105. How should this idea be written into python code?

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I now want to crawl a website content with multiple threads. Assume that the website content has 105 pages, but due to machine limitations, only ten threads can be enabled for crawling. So how do I make the first thread responsible for crawling pages 1-10? The two threads capture pages 11-20 and so on, until the tenth thread is responsible for grabbing pages 91-105. How should this idea be written into python code?

python3

<code class="python">
import urllib
import queue
import threading

def download(queue,lck):
    """
    工作者，当队列中没有任务的时候就执行退出。
    """
    while not queue.empty():
        pg = queue.get()
        
        #在此写 抓取网页的代码
        #然后把抓到的内容写入文件
        
        lck.acquire()
        print ('第 %d 页已完成'%pg) 
        lck.release()
        queue.task_done()


def main():
    """
    主线程， 
    """
    print ('开始下载……')
    lck = threading.Lock()
    q = queue.Queue()
    for pg in range(1,106): #网站内容有105页
        q.put(pg)
        
    for i in range(10):#十个线程
        t = threading.Thread(target=download, args=(q,lck))
        t.start()
    q.join()       # 等待所以任务完成
    print ('结束')

if __name__ == '__main__':
    main()
</code>