查看File对象的.read()方法:

http://docs.python.org/2/tutorial/inputoutput.html#methods-of-file-objects

你可以这样做:

concat = ""
for file in files:
    concat += open(file).read()

或者更“优雅”的python方式:

concat = ''.join([open(f).read() for f in files])

根据这篇文章，http://www.skymind.com/~ocrow/python_string/也将是最快的。

如果文件不是很大:

with open('newfile.txt','wb') as newf:
    for filename in list_of_files:
        with open(filename,'rb') as hf:
            newf.write(hf.read())
            # newf.write('\n\n\n')   if you want to introduce
            # some blank lines between the contents of the copied files

如果文件太大，不能完全读取并保存在RAM中，则算法必须稍微不同，以固定长度的块读取循环中复制的每个文件，例如使用read(10000)。

查看File对象的.read()方法:

http://docs.python.org/2/tutorial/inputoutput.html#methods-of-file-objects

你可以这样做:

concat = ""
for file in files:
    concat += open(file).read()

或者更“优雅”的python方式:

concat = ''.join([open(f).read() for f in files])

根据这篇文章，http://www.skymind.com/~ocrow/python_string/也将是最快的。

UNIX命令有什么问题?(假设你不是在Windows上工作):

Ls | xargs cat | tee output.txt完成这项工作(如果你想要，你可以从python用subprocess调用它)

使用shutil.copyfileobj。

它会自动读取输入文件的块为您，这是更有效的读取输入文件，即使一些输入文件太大，无法装入内存也能工作:

import shutil

with open('output_file.txt','wb') as wfd:
    for f in ['seg1.txt','seg2.txt','seg3.txt']:
        with open(f,'rb') as fd:
            shutil.copyfileobj(fd, wfd)

这样就行了

对于大文件:

filenames = ['file1.txt', 'file2.txt', ...]
with open('path/to/output/file', 'w') as outfile:
    for fname in filenames:
        with open(fname) as infile:
            for line in infile:
                outfile.write(line)

对于小文件:

filenames = ['file1.txt', 'file2.txt', ...]
with open('path/to/output/file', 'w') as outfile:
    for fname in filenames:
        with open(fname) as infile:
            outfile.write(infile.read())

我还想到了另一个有趣的问题:

filenames = ['file1.txt', 'file2.txt', ...]
with open('path/to/output/file', 'w') as outfile:
    for line in itertools.chain.from_iterable(itertools.imap(open, filnames)):
        outfile.write(line)

遗憾的是，最后一个方法留下了一些打开的文件描述符，无论如何GC都应该处理这些描述符。我只是觉得很有趣