The Anaconda Blog

Company Blog
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.…

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Data Science Blog
Open Source Model Management Roundup: Polyaxon, Argo, and Seldon

One of the most common questions the Anaconda Enterprise team receives is something along the lines of: “But really, how difficult is it to build this using open source tools?” This is certainly a fair…

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Data Science Blog
Intake: Caching Data on First Read Makes Future Analysis Faster

By Mike McCarty Intake provides easy access data sources from remote/cloud storage. However, for large files, the cost of downloading files every time data is read can be extremely high. To overcome this obstacle, we have…

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Company Blog
AI Enablement Platform for Teams at Scale—Accelerate Your AI/ML Productivity with Anaconda Enterprise and Cisco UCS

By Daniel Rodriguez Anaconda Enterprise is a software platform for developing, governing, and automating data science and machine learning pipelines from laptop to production. It is the de-facto standard for data science and machine learning,…

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Data Science Blog
TensorFlow in Anaconda

By Jonathan Helmus 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…

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Data Science Blog
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…

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Data Science Blog
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 library for Python. It does some feature engineering and hyper-parameter optimization for you. TPOT…

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Data Science Blog
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…

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Company Blog
Deploying Machine Learning Models is Hard, But It Doesn’t Have to Be

With free, open source tools like Anaconda Distribution, it has never been easier for individual data scientists to analyze data and build machine learning models on their laptops. So why does deriving actual business value…

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Data Science Blog
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 article contains code executable with Binder:  Introduction Defining and loading data-sets…

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Company Blog
Faster Machine Learning—Deep Learning with GPUs

The Big Deal With GPUsIf you’ve been following data science and machine learning, you’ve probably heard the term GPU. But what exactly is a GPU? And why are they so popular all of a sudden?…

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Company Blog
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 of Anaconda Enterprise 5.2 adds capabilities for GPU-accelerated, scalable machine learning and…

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