Intake released on Conda-Forge
Intake is a package for cataloging, finding and loading your data. It has been developed recently by Anaconda, Inc., and continues to gain new features. To read general information about Intake and how to use it, please refer to the documentation. Until recently, Intake was only available for installation via Conda and the intake channel […]
Using Pip in a Conda Environment
Unfortunately, issues can arise when conda and pip are used together to create an environment, especially when the tools are used back-to-back multiple times, establishing a state that can be hard to reproduce. Most of these issues stem from that fact that conda, like other package managers, has limited abilities to control packages it did […]
Who You Gonna Call? Halloween Tips & Treats to Protect You from Ghosts, Gremlins and Software Vulnerabilities
At Anaconda, we’re not too scared about things that go bump in the night. We’ve examined the data and concluded that it’s just the cleaning staff upstairs. We are, however, kept awake by the ever-present concern of the security and experience of our users! We’d like to take this opportunity to discuss some of the […]
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 […]
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…
Machines Learning about Humans Learning about Machines Learning
I had the great honor and pleasure of presenting the first tutorial at AnacondaCon 2018, on machine learning with scikit-learn. I spoke to a full room of…
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 from machine learning remain elusive for many organizations? Because while it’s easy for data scientists to build powerful models on […]
Anaconda Distribution 5.2 Released
We’re excited to announce the release of Anaconda Distribution 5.2! With over 6 million users, Anaconda Distribution is the world’s most popular and easiest way to do Python data science and machine learning. Download and install Anaconda Distribution 5.2 now, or update your current Anaconda Distribution installation to version 5.2 by using conda update conda […]
CyberPandas: Extending Pandas with Richer Types
Over the past couple months, Anaconda has supported a major internal refactoring of pandas. The outcome is a new extension array interface that will enab…