Jupyter

Jupyterlab is a definite improvement on the older IPython notebook interface - both in features and in appearance. There is now even an in-built “Dark Theme” that can be enabled. But is that all? As we know, Jupyterlab is a browser based app and is ipso facto, written on a base of HTML, CSS and Javascript. So if we want to change the appearance over and above what we get out of the box with jupyterlab, we can. Now, it is possible to make any CSS changes by hacking into the internals of the notebook, but thanks to a nifty Jupyterlab extension by Adam Wallner, we don’t have to. ...

I’m using Ubuntu 16.04 on this machine, so that’s what the steps of installation here will be for. But this installation shouldn’t largely vary on any distro that’s 14.04 and higher. Step 1 - Download Python source code Binary installations are available for Windows and Mac but you can either install Python3.8 on Ubuntu using “apt” or download and install from source. I did the latter. Obtain the gz file from here. ...

Disclaimer : Extensions in Jupyter-lab are still very much experimental. But this one seems to be working fabulously so far. jupyterlab-git is an extension that lets you stage and commit changes to notebooks made right from within the Jupyterlab interface. This is best installed within the confines of a virtual environment, as is anything experimental. Installation steps - a) Ensure that you have the latest version of jupyterlab (=1.2.0 at the time of this writing) and NodeJS(=12.13.0 at this time) ...

These are the commands I use a lot using Pandas - Get rows with NaNs in any column df[df.isna().any(axis=1)] Get dataframe excluding all NaNs in a particular Column df[df['<col_name>'].notnull()] Get counts of number of Nulls per column df.isnull().sum() Increase width of columns displayed in Jupyter Notebooks - This is possibly one of my most used commands for every notebook that involves dataframes. pd.set_option('display.max_colwidth',400)

A guide to installing a newer version of Python is available here. We at Bangpypers conduct a lot of workshops and some steps are common for all of them. To that end, this post is meant to serve as guide for people to install Python on Ubuntu and Windows (if required), setting up virtualenv and installing the package(s) germane to the corresponding Workshop. Ubuntu Check your existing version of Python to see if you already have what’s required. ...