Fix Python – How to pickle or store Jupyter (IPython) notebook session for later

Let’s say I am doing a larger data analysis in Jupyter/Ipython notebook with lots of time consuming computations done. Then, for some reason, I have to shut down the jupyter local server I, but I would like to return to doing the analysis later, without having to go through all the time-consuming computations again.

What I would like love to do i….

Fix Python – How to pickle or store Jupyter (IPython) notebook session for later

Let’s say I am doing a larger data analysis in Jupyter/Ipython notebook with lots of time consuming computations done. Then, for some reason, I have to shut down the jupyter local server I, but I would like to return to doing the analysis later, without having to go through all the time-consuming computations again.

What I would like love to do i….

Fix Python – How to read a .xlsx file using the pandas Library in iPython?

I want to read a .xlsx file using the Pandas Library of python and port the data to a postgreSQL table.
All I could do up until now is:
import pandas as pd
data = pd.ExcelFile(“*File Name*”)

Now I know that the step got executed successfully, but I want to know how i can parse the excel file that has been read so that I can understand how the d….

Fix Python – Using both Python 2.x and Python 3.x in IPython Notebook

I use IPython notebooks and would like to be able to select to create a 2.x or 3.x python notebook in IPython.
I initially had Anaconda. With Anaconda a global environment variable had to be changed to select what version of python you want and then IPython could be started. This is not what I was looking for so I uninstalled Anaconda and now ha….

Fix Python – Pandas: Setting no. of max rows

I have a problem viewing the following DataFrame:
n = 100
foo = DataFrame(index=range(n))
foo[‘floats’] = np.random.randn(n)
foo

The problem is that it does not print all rows per default in ipython notebook, but I have to slice to view the resulting rows. Even the following option does not change the output:
pd.set_option(‘display.max_rows’, 50….