你可以在Python 2和3上使用PycURL。

import pycurl

FILE_DEST = 'pycurl.html'
FILE_SRC = 'http://pycurl.io/'

with open(FILE_DEST, 'wb') as f:
    c = pycurl.Curl()
    c.setopt(c.URL, FILE_SRC)
    c.setopt(c.WRITEDATA, f)
    c.perform()
    c.close()

你可以使用keras.utils。Get_file来做它:

from tensorflow import keras

path_to_downloaded_file = keras.utils.get_file(
    fname="file name",
    origin="https://www.linktofile.com/link/to/file",
    extract=True,
    archive_format="zip",  # downloaded file format
    cache_dir="/",  # cache and extract in current directory
)

你可以使用python请求

import os
import requests


outfile = os.path.join(SAVE_DIR, file_name)
response = requests.get(URL, stream=True)
with open(outfile,'wb') as output:
  output.write(response.content)

你可以使用shutil

import os
import requests
import shutil
 
outfile = os.path.join(SAVE_DIR, file_name)
response = requests.get(url, stream = True)
with open(outfile, 'wb') as f:
  shutil.copyfileobj(response.content, f)

如果你从受限的url下载，不要忘记在标题中包含访问令牌

import urllib2
mp3file = urllib2.urlopen("http://www.example.com/songs/mp3.mp3")
with open('test.mp3','wb') as output:
  output.write(mp3file.read())

open('test.mp3'，'wb')中的wb以二进制模式打开文件(并擦除任何现有文件)，以便您可以使用它保存数据而不仅仅是文本。

延迟回答，但对于python>=3.6，您可以使用:

import dload
dload.save(url)

安装dload:

pip3 install dload

还有一个，使用urlretrieve:

import urllib.request
urllib.request.urlretrieve("http://www.example.com/songs/mp3.mp3", "mp3.mp3")

(对于Python 2使用import urllib和urllib.urlretrieve)