why isn’t numpy.mean multithreaded?
I’ve been looking for ways to easily multithread some of my simple analysis code since I had noticed numpy it was only using one core, despite the fact that it is supposed to be multithreaded.
I’ve been looking for ways to easily multithread some of my simple analysis code since I had noticed numpy it was only using one core, despite the fact that it is supposed to be multithreaded.
If I have a list of strings such as:
This is the function for printing all values in a nested list (taken from Head first with Python). def printall(the_list, level): for x in the_list: if isinstance(x, list): printall(x, level=level + 1) else: for tab_stop in range(level): print("t", end='') print(x) The function is working properly. The function basically prints the values in a list and … Read more
I’m trying to create a directory if the path doesn’t exist, but the ! (not) operator doesn’t work. I’m not sure how to negate in Python… What’s the correct way to do this?
I see a number of questions on SO asking about ways to convert XML to JSON, but I’m interested in going the other way. Is there a python library for converting JSON to XML?
Running a simple app in pyspark.
I currently have a DataFrame laid out as:
I find the result is a little bit random. Sometimes it’s a copy sometimes it’s a view. For example:
I am using pandas version 0.14.1 with Python 2.7.5, and I have a data frame with three columns, e.g.:
I need to use curtom root certificates on the company intranet and loading them in the Mac OS TrustStore (KeyChain) does solve the problem for all browsers and GUI apps.