The Anaconda Blog

For Practitioners
Securing Pangeo with Dask Gateway

This post is also available on the Pangeo blog. Over the past few weeks, we have made some exciting changes to Pangeo’s cloud deployments. These changes will make using Pangeo’s clusters easier for users while…

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Enterprise Data Science
Why Understanding CVEs Is Critical for Data Scientists

CVEs are Common Vulnerabilities and Exposures found in software components. Because modern software is complex with its many layers, interdependencies, data input, and libraries, vulnerabilities tend to emerge over time. Ignoring a high CVE score…

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For Practitioners
Get Python Package Download Statistics with Condastats

Hundreds of millions of Python packages are downloaded using Conda every month. That’s why we are excited to announce the release of condastats, a conda statistics API with Python interface and Command Line interface. Now anyone…

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For Practitioners
Announcing Anaconda Distribution 2019.10

We are pleased to announce the release of Anaconda Distribution 2019.10! As there were some significant changes in the previous Anaconda Distribution 2019.07 installers, this release focuses on polishing up rough edges in that release…

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For Practitioners
Introducing Remote Content Caching with FSSpec

Fsspec is a library which acts as a common pythonic interface to many file system-like storage backends, such as remote (e.g., SSH, HDFS) and cloud (e.g., GCS, S3) services. In this article, we will present…

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For Practitioners
How to Restore Anaconda after Update to MacOS Catalina

MacOS Catalina was released on October 7, 2019, and has been causing quite a stir for Anaconda users.  Apple has decided that Anaconda’s default install location in the root folder is not allowed. It moves…

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For Practitioners
Canaries Can Tweet: Preview New Features with Conda Canary

Conda-canary is the pre-defaults-release channel for conda — it has the most recent version of conda. On occasion it will also have the latest pre-defaults-release of conda-build and other conda dependencies such as ruamel.yaml. Normally,…

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For Practitioners
How to Build a Custom Anaconda Installer for R

A frequent question on the Anaconda Community mailing list is how to package R with conda for distribution. Depending on the use case, one option may be to use conda to move environments. This requires…

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For Practitioners
Moving Conda Environments

Conda is known as a package manager for Python and R packages produced by Anaconda, Inc. and conda-forge, the open-source community for conda Python packages. In addition to managing packages, Conda is also an environment…

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For Practitioners
Accessing Remote Data with a Generalized File System

Originally created for the needs of Dask, we have spun out a general file system implementation and specification, to provide all users with simple access to many local, cluster, and remote storage media. Dask and Intake…

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For Practitioners
What’s in a Name? Clarifying the Anaconda Metapackage

The name “Anaconda” is overloaded in many ways. There’s our company, Anaconda, Inc., the Anaconda Distribution, the anaconda metapackage, Anaconda Enterprise, and several other, sometimes completely unrelated projects (like Red Hat’s Anaconda). Here we hope…

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For Practitioners
Why We Removed the “Free” Channel in Conda 4.7

One of the changes we made in Conda 4.7 was the removal of a software collection called “free” from the default channel configuration. The “free” channel is our collection of packages prior to the switch…

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