Python string prints as [u’String’]
This will surely be an easy one but it is really bugging me.
python
Python convert csv to xlsx
In this post there is a Python example to convert from csv to xls.
How is __eq__ handled in Python and in what order?
Since Python does not provide left/right versions of its comparison operators, how does it decide which function to call?
Color by Column Values in Matplotlib
One of my favorite aspects of using the ggplot2 library in R is the ability to easily specify aesthetics. I can quickly make a scatterplot and apply color associated with a specific column and I would love to be able to do this with python/pandas/matplotlib. I’m wondering if there are there any convenience functions that people use to map colors to values using pandas dataframes and Matplotlib?
Finding a key recursively in a dictionary
I’m trying to write a very simple function to recursively search through a possibly nested (in the most extreme cases ten levels deep) Python dictionary and return the first value it finds from the given key.
Get the second largest number in a list in linear time
I’m learning Python and the simple ways to handle lists is presented as an advantage. Sometimes it is, but look at this:
Generating a list of random numbers, summing to 1
This question is not a duplicate of Getting N random numbers whose sum is M because: Most answers there are about theory, not a specific coding solution in python to answer this question The accepted answer here is 5 years older than the one answer in the duplicate that answers this question. The duplicate accepted … Read more
Working with big data in python and numpy, not enough ram, how to save partial results on disc?
I am trying to implement algorithms for 1000-dimensional data with 200k+ datapoints in python. I want to use numpy, scipy, sklearn, networkx, and other useful libraries. I want to perform operations such as pairwise distance between all of the points and do clustering on all of the points. I have implemented working algorithms that perform what I want with reasonable complexity but when I try to scale them to all of my data I run out of RAM. Of course, I do, creating the matrix for pairwise distances on 200k+ data takes a lot of memory.
How to make a Python script run like a service or daemon in Linux
I have written a Python script that checks a certain e-mail address and passes new e-mails to an external program. How can I get this script to execute 24/7, such as turning it into daemon or service in Linux. Would I also need a loop that never ends in the program, or can it be done by just having the code re executed multiple times?
Why are NumPy arrays so fast?
I just changed a program I am writing to hold my data as numpy arrays as I was having performance issues, and the difference was incredible. It originally took 30 minutes to run and now takes 2.5 seconds!