Toy Language (Basic Calculator) JIT-compilation via LLVM
-
Updated
Oct 10, 2013 - Python
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Toy Language (Basic Calculator) JIT-compilation via LLVM
Rendering IPython Notebooks using Flask
nature + code + blog
build process for turning ipython notebooks into markdown files for your jekyll blog
Data Visualization for AMNH Hackathon using d3 and python
IPython Notebook for Sentiment Classification
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
This is my iPython Notebooks for my own tracking purpose
This repository contains project files and scripts for Udacity's Deep Learning Course.
IPython Notebook packaged for Heroku, with data analysis libraries and persistent storage via pgcontents
Introductory talk on NumPy for beginners
This python repository include Python 3.5 and Jupyter notebook. I am planning to share bunch of Python training code and data visualization examples.
4 - Computing RFM segmentation in pandas, 3 - simple models training and etc, 2 - computing Z-intervals
Machine learning classification of galaxies observed by SDSS
This IPython notebook was used to give the Penn Medicine Predictive Healthcare team exposure to the topic of causal inference and introduce them to some established methods.
Udacity Nanodegree Project 3: Example of unsupervised learning. Creating customer segments.
An algorithm that performs localization of landmines and estimates the material of the same.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 10 days ago