Anaconda and Kx Systems Partner to Deliver kdb+ Database System and Related Machine Learning Libraries

Anaconda, Inc., the most popular Python data science platform provider with 2.5 million downloads per month, is pleased to announce an exciting new partnership with Kx Systems, a provider of fast, efficient, and flexible tools for processing real-time and historical data. As part of our partnership, Anaconda has added the kdb+ database system, and related […]
TensorFlow in Anaconda

TensorFlow is a Python library for high-performance numerical calculations that allows users to create sophisticated deep learning and machine learning applications. Released as open source software in 2015, TensorFlow has seen tremendous growth and popularity in the data science community. There are a number of methods that can be used to install TensorFlow, such as […]
Python 3.7 Package Build Out & Miniconda Release

By Ray Donnelly & Crystal Soja We are pleased to announce that Python 3.7 packages for all supported platforms and packages of the Anaconda Distribution Repository (repo.anaconda.com) are now available. There are 865 packages built for Linux, 864 packages built for macOS, and 779 packages built for Windows. Python 3.7, released June 27, 2018, represents […]
Distributed Auto-ML with TPOT with Dask

By Tom Augspurger
This work is supported byAnaconda, Inc.
This post describes a recent improvement made to TPOT. TPOT is an automated machine learning l…
How PNC Financial Services Leveraged Anaconda to Enable Data Science and Machine Learning Capabilities Across the Company

As an AI software company passionate about the real-world practice of data science, machine learning, and predictive analytics, we take great pleasure i…
Anaconda Funded by Citi Ventures

By Scott Collison, CEO
Today, we’re incredibly happy to announce funding from Citi Ventures and welcome them as a new investor and partner. Follow…
Introducing Skein: Deploy Python on Apache YARN the Easy Way

By Jim Crist *This post is reprinted with permission from Jim Crist’s blog. The original post can be found here. In this post, I introduce Skein, a new tool and library for deploying applications on Apache YARN. I provide background on why this work was necessary, and demonstrate deploying a simple Python application on a YARN cluster. Introduction […]
Intake: Taking the Pain out of Data Access

By Martin Durant, Anaconda Software Engineer
We are pleased to announce the release of Intake, a simple data access layer and cataloging system.
This ar…
Faster Machine Learning—Deep Learning with GPUs

The Big Deal With GPUs
If you’ve been following data science and machine learning, you’ve probably heard the term GPU. But what exactly is a…
New Release of Anaconda Enterprise features Expanded GPU and Container Usage

Anaconda, Inc. is thrilled to announce the latest release of Anaconda Enterprise, our popular AI/ML enablement platform for teams at scale. The release o…