Anaconda Enterprise 5.2.2: Now With Apache Zeppelin and GPU improvements
Anaconda Enterprise 5.2 introduced exciting features such as GPU-acceleration, scalable machine learning, and cloud-native model management in July. Today we’re releasing Anaconda Enterprise 5.2.2 with a number of enhancements in IDEs (Integrated Development Environments), GPU resource management, source code control, and (of course) bug fixes. One of the biggest new benefits is the addition of […]
Intake: Parsing Data from Filenames and Paths
Motivation
Do you have data in collections of files, where information is encoded both in the contents and the file/directory names? Perhaps something li…
Preparing Your Organization for Implementing an AI Platform
You already know that implementing an enterprise-ready AI enablement platform is key to executing your organization’s AI and machine learning init…
Anaconda Distribution 5.3.0 Released
We’re excited to announce the release of Anaconda Distribution 5.3.0! Anaconda Distribution is the world’s most popular and easiest way to learn and perform data science and machine learning. Here’s a rundown of new features. In addition to our Python 2.7 Anaconda installers, as well as Python 3.6 Anaconda metapackages, Anaconda Distribution 5.3 is compiled […]
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…