SyntaxError is a perfectly ordinary built-in exception. It is not special in any way. Only the circumstances of when it’s (usually) thrown are a bit unusual. A syntax error means that the code featuring said error cannot be parsed. It doesn’t even begin to be a valid program, hence it cannot be executed. Therefore SyntaxError … Read more
SyntaxError is a perfectly ordinary built-in exception. It is not special in any way. Only the circumstances of when it’s (usually) thrown are a bit unusual. A syntax error means that the code featuring said error cannot be parsed. It doesn’t even begin to be a valid program, hence it cannot be executed. Therefore SyntaxError … Read more
The second directory block doesn’t match where you have your WSGI script file installed. It is very bad practice though to stick the WSGI script file in a location where source code or other sensitive files exist, ie., same directory or sub directory. Instead you should stick it in a sub directory of its own. … Read more
This question has been asked a couple of times already: Using numpy to build an array of all combinations of two arrays itertools product speed up The first link has a working numpy solution, that is claimed to be several times faster than itertools, though no benchmarks are provided. This code was written by a … Read more
Modifying the namespace mapping of a node is not possible in lxml. See this open ticket that has this feature as a wishlist item. It originated from this thread on the lxml mailing list, where a workaround replacing the root node is given as an alternative. There are some issues with replacing the root node … Read more
I got multiprocessing to work from within a Jupyter notebook on Windows by saving my function in a separate .py file and including that file in my notebook. Example: f.py: def f(name, output): output.put(‘hello {0}’.format(name)) return Code in Jupyter notebook: from multiprocessing import Process, Queue #Having the function definition here results in #AttributeError: Can’t get … Read more
This solution uses Kieth’s fromiter technique, but handles the two dimensional table structure of SQL results more intuitively. Also, it improves on Doug’s method by avoiding all the reshaping and flattening in python data types. Using a structured array we can read pretty much directly from the MySQL result into numpy, cutting out python data … Read more
I’ve seen this error before and it typically does have to do with pandas referencing an old version of numpy. But reinstalling may not help if your python path is still pointing to an old version of numpy. When you install numpy via pip, pip will tell you where it was installed. Something like pip … Read more
In the solution below I showcase a bigger example (with also bar plot) that may help people understand better what should be done for other cases. After the code I explain some details and answer the bonus question. import matplotlib matplotlib.use(‘Qt5Agg’) #use Qt5 as backend, comment this line for default backend from matplotlib import pyplot … Read more
Range takes, 1, 2, or 3 arguments. This could be implemented with def range(*args), and explicit code to raise an exception when it gets 0 or more than 3 arguments. It couldn’t be implemented with default arguments because you can’t have a non-default after a default, e.g. def range(start=0, stop, step=1). This is essentially because … Read more