Archive for the ‘Anaconda’ Category

Continuum Analytics Releases Anaconda 2.1

Wednesday, October 1st, 2014

Continuum Analytics Releases Anaconda 2.1 by Corinna Bahr.

From the post:

Continuum Analytics, the premier provider of Python-based data analytics solutions and services, announced today the release of the latest version of Anaconda, its free, enterprise-ready collection of libraries for Python.

Anaconda enables big data management, analysis, and cross-platform visualization for business intelligence, scientific analysis, engineering, machine learning, and more. The latest release, version 2.1, adds a new version of the Anaconda Launcher and PyOpenSSL, as well as updates NumPy, Blaze, Bokeh, Numba, and 50 other packages.

Available on Windows, Mac OS X and Linux, Anaconda includes more than 195 of the most popular numerical and scientific Python libraries used by scientists, engineers and data analysts, with a single integrated and flexible installer. It also allows for the mixing and matching of different versions of Python (2.6, 2.7, 3.3, 3.4), NumPy, SciPy, etc., and the ability to easily switch between these environments.

See the post for more details, check the change log, or, what the hell, download the most recent version of Anaconda.

Remember, it’s open source so you can see “…where it keeps its brain.” Be wary of results based on software that operates behind a curtain.

BTW, check out the commercial services and products from Continuum Analytics if you need even more firepower for your data processing.

Anaconda 2.0

Friday, May 30th, 2014

Anaconda 2.0 by Corinna Bahr.

From the post:

We are pleased to announce Anaconda 2.0, the newest version of our enterprise-ready Python distribution. Available for free on Windows, Mac OS X and Linux, Anaconda includes almost 200 of the most popular numerical and scientific Python libraries used by scientists, engineers and data analysts, with an integrated and flexible installer.

From the Anaconda page:

Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing

  • 195+ of the most popular Python packages for science, math, engineering, data analysis
  • Completely free – including for commercial use and even redistribution
  • Cross platform on Linux, Windows, Mac
  • Installs into a single directory and doesn’t affect other Python installations on your system. Doesn’t require root or local administrator privileges
  • Stay up-to-date by easily updating packages from our free, online repository
  • Easily switch between Python 2.6, 2.7, 3.3, 3.4, and experiment with multiple versions of libraries, using our conda package manager and its great support for virtual environments
  • Comes with tools to connect and integrate with Excel

Enjoy!

I first saw this in a tweet by Scientific Python

Anaconda 1.9

Saturday, February 15th, 2014

Anaconda 1.9

From the homepage:

Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing

  • 125+ of the most popular Python packages for science, math, engineering, data analysis
  • Completely free – including for commercial use and even redistribution
  • Cross platform on Linux, Windows, Mac
  • Installs into a single directory and doesn’t affect other Python installations on your system. Doesn’t require root or local administrator privileges.
  • Stay up-to-date by easily updating packages from our free, online repository
  • Easily switch between Python 2.6, 2.7, 3.3, and experiment with multiple versions of libraries, using our conda package manager and its great support for virtual environments

In addition to maintaining Anaconda as a free Python distribution, Continuum Analytics offers consulting/training services and commercial packages to enhance your use of Anaconda.

Before hitting “download,” know that the Linux 64-bit distribution is just short of 649 MB. Not an issue for most folks but there are some edge cases where it might be.

Anaconda: Scalable Python Computing

Friday, July 27th, 2012

Anaconda: Scalable Python Computing

Easy, Scalable Distributed Data Analysis

Anaconda is a distribution that combines the most popular Python packages for data analysis, statistics, and machine learning. It has several tools for a variety of types of cluster computations, including MapReduce batch jobs, interactive parallelism, and MPI.

All of the packages in Anaconda are built, tested, and supported by Continuum. Having a unified runtime for distributed data analysis makes it easier for the broader community to share code, examples, and best practices — without getting tangled in a mess of versions and dependencies.

Good way to avoid dependency issues!

On scaling, I am reminded of a developer who designed a Python application to require upgrading for “heavy” use. Much to their disappointment, Python scaled under “heavy” use with no need for an upgrade. 😉

I saw this in Christophe Lalanne’s Bag of Tweets for July 2012.