From man python: -u Force stdin, stdout and stderr to be totally unbuffered. On systems where it matters, also put stdin, stdout and stderr in binary mode. Note that there is internal buffering in xreadlines(), readlines() and file- object iterators (“for line in sys.stdin”) which is not influenced by this option. To work around this, … Read more
The error log is straightforward. As it suggested,You need to add 198.211.99.20 to your ALLOWED_HOSTS setting. In your project settings.py file,set ALLOWED_HOSTS like this : ALLOWED_HOSTS = [‘198.211.99.20’, ‘localhost’, ‘127.0.0.1’] For further reading read from here.
You can check the syntax by compiling it: python -m py_compile script.py
DataFrame.iterrows is a generator which yields both the index and row (as a Series): import pandas as pd df = pd.DataFrame({‘c1’: [10, 11, 12], ‘c2’: [100, 110, 120]}) df = df.reset_index() # make sure indexes pair with number of rows for index, row in df.iterrows(): print(row[‘c1’], row[‘c2’]) 10 100 11 110 12 120 Obligatory disclaimer … Read more
The solution using re.split() function: import re cStr=””aaaa”,”bbbb”,”ccc,ddd”” newStr = re.split(r’,(?=”)’, cStr) print newStr The output: [‘”aaaa”‘, ‘”bbbb”‘, ‘”ccc,ddd”‘] ,(?=”) – lookahead positive assertion, ensures that delimiter , is followed by double quote “
Check for any of characters not being alphanumeric like: any(not c.isalnum() for c in mystring)
eval and exec are handy quick-and-dirty way to get some source code dynamically, maybe munge it a bit, and then execute it — but they’re hardly ever the best way, especially in production code as opposed to “quick-and-dirty” prototypes &c. For example, if I had to deal with such dynamic Python sources, I’d reach for … Read more
Warning: Don’t try this at home, you might burn it down. There is no legitimate reason to do the following in the course of normal day-to-day programming. Please review the other answers to this question for more realistic alternatives. I can barely imagine why you would want to do this, but here is a way … Read more
It is better to handle this with “with” to close the descriptor automatically for you. This will work with both 2.7 and python 3. with open(‘/path/to/my/file.txt’, ‘r’) as f: print(f.read())