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…
Generate Custom Parcels for Cloudera CDH with Anaconda Enterprise 5
Introducing Dask for Scalable Machine Learning

Although Python contains several powerful libraries for machine learning, unfortunately, they don’t always scale well to large datasets. This has f…
2018 Anaconda State of Data Science Report Released

We at Anaconda greatly value our data science community and are always striving to learn more about how you are using our products and how we can improve…
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 d…
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 and Full Spectrum Analytics Partner to Deliver Enterprise Data Science to Banks, Lenders, and Investments Firms

Anaconda, Inc., the most popular Python data science platform provider with 2.5 million downloads per month, is pleased to announce a new partnership wit…
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…
Anaconda’s Damian Avila on the 2017 ACM Software System Award for Jupyter

I am very happy to inform you that Project Jupyter has been awarded the 2017 ACM Software System Award!As part of the Jupyter Steering Council, I am one …