Python 3.1.1 string to hex
I am trying to use str.encode() but I get
python
Read XLSB File in Pandas Python
There are many questions on this, but there has been no simple answer on how to read an xlsb file into pandas. Is there an easy way to do this?
How to prevent BrokenPipeError when doing a flush in Python?
Question: Is there a way to use flush=True for the print() function without getting the BrokenPipeError?
How do I pick 2 random items from a Python set?
I currently have a Python set of n size where n >= 0. Is there a quick 1 or 2 lines Python solution to do it? For example, the set will look like: fruits = set(['apple', 'orange', 'watermelon', 'grape']) The goal is to pick 2 random items from the above and it’s possible that the … Read more
How do I run another script in Python without waiting for it to finish?
I am creating a little dashboard for a user that will allow him to run specific jobs. I am using Django so I want him to be able to click a link to start the job and then return the page back to him with a message that the job is running. The results of … Read more
Python print statement “Syntax Error: invalid syntax”
Why is Python giving me a syntax error at the simple print statement on line 9? import hashlib, sys m = hashlib.md5() hash = "" hash_file = raw_input("What is the file name in which the hash resides? ") wordlist = raw_input("What is your wordlist? (Enter the file name) ") try: hashdocument = open(hash_file,"r") except IOError: … Read more
how to kill process and child processes from python?
for example from bash:
Finding consecutive segments in a pandas data frame
I have a pandas.DataFrame with measurements taken at consecutive points in time. Along with each measurement the system under observation had a distinct state at each point in time. Hence, the DataFrame also contains a column with the state of the system at each measurement. State changes are much slower than the measurement interval. As a result, the column indicating the states might look like this (index: state):
Passing IPython variables as arguments to bash commands
How do I execute a bash command from Ipython/Jupyter notebook passing the value of a python variable as an argument like in this example:
How to use Pandas rolling_* functions on a forward-looking basis
Suppose I have a time series: