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Home > Talk Python To Me - Python conversations for passionate developers > #44 Project Jupyter and IPython


	Podcast:		Talk Python To Me - Python conversations for passionate developers
	Episode:		#44 Project Jupyter and IPython
	Category:		Technology
	Duration:		01:00:11
	Publish Date:		2016-02-02 02:00:00
	Description:		One of the fastest growing areas in Python is scientific computing. In scientific computing with Python, there are a few key packages that make it special. These include NumPy / SciPy / and related packages. The one that brings it all together, visually, is IPython (now known as Project Jupyter). That's the topic on episode 44 of Talk Python To Me. You'll learn about "the big split", the plans for the recent $6 million in funding, Jupyter at CERN and the LHC and more with Min RK & Matthias Bussonnier. Links from the show: Project Jupyter: jupyter.org Min RK: @minrk Matthias Bussonnier: @mbussonn Complexity graph: grokcode.com/864/snakefooding-python-code-for-complexity-visualization Jess Hamrick deployment: developer.rackspace.com/blog/deploying-jupyterhub-for-education My Binder: mybinder.org Try Jupyter: try.jupyter.org Lorena Barba's AeroPython course: github.com/barbagroup/AeroPython Jessica Hamrick's Ansible scripts: github.com/compmodels/jupyterhub-deploy Jake Vanderplas blogging with notebooks: jakevdp.github.io Peter Norvig's regex golf notebook: nbviewer.jupyter.org/url/norvig.com/ipython/xkcd1313.ipynb SageMathCloud: cloud.sagemath.com First version of IPython: gist.github.com/fperez/1579699 Historical perspective: blog.fperez.org/2012/01/ipython-notebook-historical.html
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