Can’t pickle when using multiprocessing Pool.map()
I’m trying to use multiprocessing‘s Pool.map() function to divide out work simultaneously. When I use the following code, it works fine:
python
How to split a list based on a condition?
What’s the best way, both aesthetically and from a performance perspective, to split a list of items into multiple lists based on a conditional? The equivalent of:
How to install pip with Python 3?
I want to install pip. It should support Python 3, but it requires setuptools, which is available only for Python 2.
Pandas filtering for multiple substrings in series
I need to filter rows in a pandas dataframe so that a specific string column contains at least one of a list of provided substrings. The substrings may have unusual / regex characters. The comparison should not involve regex and is case insensitive.
Get the first item from an iterable that matches a condition
I would like to get the first item from a list matching a condition. It’s important that the resulting method not process the entire list, which could be quite large. For example, the following function is adequate:
NumPy or Pandas: Keeping array type as integer while having a NaN value
Is there a preferred way to keep the data type of a numpy array fixed as int (or int64 or whatever), while still having an element inside listed as numpy.NaN?
Creating functions in a loop
I’m trying to create functions inside of a loop:
Get last n lines of a file, similar to tail
I’m writing a log file viewer for a web application and for that I want to paginate through the lines of the log file. The items in the file are line based with the newest item at the bottom.
Maximum and Minimum values for ints
How do I represent minimum and maximum values for integers in Python? In Java, we have Integer.MIN_VALUE and Integer.MAX_VALUE.
How to convert local time string to UTC?
How do I convert a datetime string in local time to a string in UTC time?