In this post, I describe another powerful feature of Jupyter Notebooks: The ability to use interactive widgets to build interactive Sep 25, 2017 You can use one Jupyter notebook to handle the data science code, and another to present your results. What is the Jupyter Notebook? Introduction · Notebook web application · Kernels · Notebook documents · Notebook Basics · The Notebook dashboard · Overview of the Notebook UI · Modal editor · Mouse navigation · Keyboard Navigation · Running Code. Here's my pandas cookbook on Binder. CoCalc is an online web service where you can run Jupyter notebooks right inside your browser. presenting the resulting data in a nice way. You'll need to wait This is really the best collection of iPython notebooks I've ever seen: ipython/ipython It's got everything. " In Part I, I described magics, and how to calculate notebooks in "batch" mode to use them as reports or dashboards. The following notebooks have been rendered for your convenience. This page is a curated collection of Jupyter/IPython notebooks that are notable. Neural Networks. Here is my list of 10 tips on structuring Jupyter notebooks, I worked out over the…Nov 11, 2015 Welcome to Part II of "Advanced Jupyter Notebook Tricks. com/10-tips-on-using-jupyter-notebook-abc0ba7028a4Oct 18, 2017 Jupyter Notebook (a. The neural network approach uses a fixed number of basis functions - in contrast to methods such as support vector machines . a iPython Notebook) is brilliant coding tool. A list of 10 useful Github repositories made up of IPython (Jupyter) notebooks, focused on teaching data science and machine learning. Python is the clear target here, but This is the accompanying code for the fantastic book Machine Learning with Python, by Sebastian Raschka. Content mostly refers to data This final part is exactly to demonstrate the capabilities of such tools on an already more than impressive framework like Jupyter. I don't vouch for many materials, but I Sep 27, 2017 This entry is a non-exhaustive introduction on how to create interactive content directly from your Jupyter notebook. k. Tue, Mar 6, 2018. Oct 12, 2016 Best of all, it's completely free. It handles all the tedious details for you. Project Jupyter was born out of the IPython project as the project evolved to become a notebook that could support multiple languages - hence its historical name as the IPython notebook. The first tutorial is an introduction to the Jupyter environment. You no longer have to: install a Python environment; setup additional kernel environments you want to use; install all the libraries you need; maintain everything on your own. The best way to install them is to use Jupyter NbExtensions Configurator. Learn how to install Jupyter Notebooks, use them, and install kernels for other languages. It is ideal for doing reproducible research. Instead, all The Jupyter project has an amazing tool for Python, Julia, R, and other languages. I am SO STOKED that this exists, I have wanted it forever. The Jupyter interface. The name Jupyter is an indirect acronyum of the three core Nov 15, 2016 This tutorial explains how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples. It will add a tab to let you enable/disable extensions: Screenshot of NbExtensions Configurator Jupyter notebooks are amazing for exploratory data analysis with Python! If you want to see why, try our free Introduction to DataCamp projects, whichJun 4, 2016 A set of tutorials in Data Science. Neural networks are one approach to machine learning that attempts to deal with the problem of large data dimensionality. com 10 tips on using Jupyter Notebook – Hacker Noon hackernoon. The best way to present your result is by combining complex visualizations and algorithms with a clear plan and extensive explanations of the data science. Rigid body motion, whale migration, financial time series, computational fluid dynamics, performance tricks in numpy, machine learningTop 5 Best Jupyter Notebook Extensions. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects. Important contribution Jun 21, 2017 GitHub is where people build software. Binder is a tool that lets other people easily launch an interactive copy of your Jupyter notebooks. . It is all about pushing you to try Nov 12, 2017 Thanks to a pull request today, I learned about a thing called Binder!! https://mybinder. Tutorial materials are available at: https://github. Notebook extensions are plug-ins that you can easily add to your Jupyter notebooks. org/. Feel free to add new content here, but please try to only include links to notebooks that include interesting visual or technical content; this should not simply be a dump of a Google search on every ipynb file out there

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