The Anaconda Blog

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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Data Science Blog
Intake for Cataloging Spark

By: Martin Durant Intake is an open source project for providing easy pythonic access to a wide variety of data formats, and a simple cataloging system for these data sources. Intake is a new project,…

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Data Science Blog
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…

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Data Science Blog
Python Data Visualization 2018: Moving Toward Convergence

This post is the second in a three-part series on the current state of Python data visualization and the trends that emerged from SciPy 2018. In my previous post, I provided an overview of the…

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