Welcome to Continuum Documentation

Anaconda Enterprise-ready Python distribution containing 80+ packages for large-scale data processing, predictive analytics, and scientific computing	Anaconda Accelerate Suite of packages designed to take Python and NumPy code to the next level of performance and scalability. Includes NumbaPro and MKL Optimizations.
IOPro Fast, memory-efficient Python interface for databases, NoSQL stores, Amazon S3, and large data files	MKL Optimizations Boost the speed of Numpy, SciPy, NumExpr, and scikit-learn through Intel's Math Kernal Library
Wakari In-browser Python & Linux environment for collaborative data analysis, exploration, and visualization	Open Source Projects Blaze - distributed NumPy on out-of-core and streaming datasets Bokeh - interactive visualization library conda - custom package and environment manager LLVMpy - simple access to compiler tools Numba - NumPy-aware optimizing compiler for Python

Founded by the author of NumPy and SciPy, Continuum offers Python-based products and consulting services for big data analysis, management and visualization. This site provides documentation for the most current commercial products and open source initiatives developed and maintained by Continuum Analytics, Inc.