Items tagged jupyter in 2017
Filters: Year: 2017 × jupyter × Sorted by date
Interactive Workflows for C++ with Jupyter. Whoa, this really works... not just an interactive C++ REPL in a Jupyter notebook, but inline graph plotting support and interactive widgets as well. Scroll to the bottom of the article for Binder links which let you fire up an interactive C++ REPL in your browser and start interacting with it instantly. # 29th November 2017, 9:51 pm
Exploring Line Lengths in Python Packages. Interesting exploration of the impact if the 79 character length limit rule of thumb on various Python packages—and a thoroughly useful guide to histogram plotting in Jupyter, pandas and matplotlib. # 10th November 2017, 3:34 pm
Using “import refs” to iteratively import data into Django
I’ve been writing a few scripts to backfill my blog with content I originally posted elsewhere. So far I’ve imported answers I posted on Quora (background), answers I posted on Ask MetaFilter and content I recovered from the Internet Archive.
[... 559 words]A Minimalist Guide to SQLite. Pretty comprehensive actually—covers the sqlite3 command line app, importing CSVs, integrating with Python, Pandas and Jupyter notebooks, visualization and more. # 2nd November 2017, 1:23 am
Exploring United States Policing Data Using Python. Outstanding introduction to data analysis with Jupyter and Pandas. # 29th October 2017, 4:58 pm
Streaming Dataframes. This is some deep and brilliant magic: Matthew Rocklin’s Streamz Python library provides some elegant abstractions for consuming infinite streams of data and calculating cumulative averages and rolling reductions... and now he’s added an integration with jupyter that lets you embed bokeh graphs and pandas dataframe tables that continue to update in realtime as the stream continues! Check out the animated screenshots, this really is a phenomenal piece of work. # 19th October 2017, 2:25 pm
Recovering missing content from the Internet Archive
When I restored my blog last weekend I used the most recent SQL backup of my blog’s database from back in 2010. I thought it had all of my content from before I started my 7 year hiatus, but in watching the 404 logs I started seeing the occasional hit to something that really should have been there but wasn’t. Turns out the SQL backup I was working from was missing some content.
[... 636 words]Facets. New open source visualization and data exploration tool from Google (“Disclaimer: This is not an official Google product”, whatever that means). It’s intended for visualizing machine learning datasets but it’s obviously useful outside of ML as well—any time you need to understand a large dataset this looks like it could be extremely useful. Ships with example jupyter notebooks and an easy mechanism for embedding the Facets interactive UI directly inside a notebook cell. # 8th October 2017, 12:21 am