The Anaconda Blog

Data Science Blog
The Human Element in AI

The over 45 speakers at AnacondaCON 2019 delved into how machine learning, artificial intelligence, enterprise, and open source communities are accomplishing great things with data — from optimizing urban farming to identifying the elements in…

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Data Science Blog
AnacondaCON 2019 Day 3 Recap: The Need for Speed, “Delightful UX” in Dev Tools, LOTR Jokes and More.

Everyone at Anaconda is still feeling the love AnacondaCON 2019. Day 3 wrapped up last Friday with one more day of talks and sessions, highlighted by some powerhouse keynotes. Let’s get right to the good…

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Data Science Blog
Anaconda 2019.03 Release

Windows is the most popular operating system in the world and consistently has 75% or more of the worldwide desktop market. According to the JetBrains Python Developers Survey, 49% of Python developers use Windows as…

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Data Science Blog
3 Ways to Upskill in Python with DataCamp and Anaconda

DataCamp is proud to partner with Anaconda to offer eight courses on Conda and Python—in addition to the more than 70 total Python courses in DataCamp’s ever-expanding data science and analytics curriculum. Not sure where…

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Data Science Blog
Announcing Public Anaconda Package Download Data

I’m very happy to announce that starting today, we will be publishing summarized download data for all conda packages served in the Anaconda Distribution, as well as the popular conda-forge and bioconda channels.  The dataset…

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Data Science Blog
Understanding and Improving Conda’s performance

Lately, we have been responding to issues about Conda’s speed.  We’re working on it and we wanted to explain a few of the facets that we’re looking at to solve the problem.   TL;DR: make…

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Data Science Blog
End of Life (EOL) for Python 2.7 is coming. Are you ready?

End of Life (EOL) for Python 2.7 is coming. Are you ready? We all knew it was coming. Back in 2014 when Guido van Rossum, Python’s creator and principal author, made the announcement, January 1,…

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Data Science Blog
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…

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Data Science Blog
RPM and Debian Repositories for Miniconda

Conda, the package manager from Anaconda, is now available as either a RedHat RPM or as a Debian package. The packages are the equivalent to the Miniconda installer which only contains Conda and its dependencies.…

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Data Science Blog
Conda 4.6 Release

The latest set of major Conda improvements are here, with version 4.6.  This release has been stewing for a while and has the feature list to show for it.  Let’s walk through some of the…

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Data Science Blog
Anaconda Distribution 2018.12 Released

We are changing versioning in Anaconda Distribution from a major/minor version scheme to a year.month scheme. We made this change to differentiate between the open source Anaconda Distribution and Anaconda Enterprise, our managed data science…

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Data Science Blog
Python Data Visualization 2018: Where Do We Go From Here?

This post is the third in a three-part series on the current state of Python data visualization and the trends that emerged from SciPy 2018.   By James A. Bednar As we saw in Part…

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