Paramiko and Pseudo-tty Allocation
I’m trying to use Paramiko to connect to a remote host and execute a number of text file substitutions.
I’m trying to use Paramiko to connect to a remote host and execute a number of text file substitutions.
I want to implement a HashMap in Python. I want to ask a user for an input. depending on his input I am retrieving some information from the HashMap. If the user enters a key of the HashMap, I would like to retrieve the corresponding value.
I would like to read in an excel spreadsheet to python / pandas, but have the formulae instead of the cell results.
So I have initialized an empty pandas DataFrame and I would like to iteratively append lists (or Series) as rows in this DataFrame. What is the best way of doing this?
I have found the following piece of code that works pretty well for letting me view in Python Shell the standard 1% of the twitter firehose:
I want to find all consecutive, repeated character blocks in a string. For example, consider the following:
Is there a built-in method in Python to get an array of all a class’ instance variables? For example, if I have this code:
If I add a subtitle to my matplotlib figure it gets overlaid by the subplot’s titles. Does anybody know how to easily take care of that? I tried the tight_layout() function, but it only makes things worse.
I want to calculate the term-frequencies of words in a text corpus. I’ve been using NLTK’s word_tokenize followed by probability.FreqDist for some time to get this done. The word_tokenize returns a list, which is converted to a frequency distribution by FreqDist. However, I recently came across the Counter function in collections (collections.Counter), which seems to be doing the exact same thing. Both FreqDist and Counter have a most_common(n) function which return the n most common words. Does anyone know if there’s a difference between these two? Is one faster than the other? Are there cases where one would work and the other wouldn’t?