Anaconda introduces cloud-hosted Jupyter notebooks

This year, Anaconda surpassed a milestone—we now have over 30 million users worldwide. We watched our community grow as Python became the world’s most popular programming language , as our CEO and co-founder Peter Wang announced the PyScript project , and as we expanded into new … | Continue reading


@anaconda.com | 1 year ago

Anaconda Acquires PythonAnywhere to Expand Python Team Collaboration

Anaconda is the birthplace of Python data science. We are a movement of data scientists, data-driven enterprises, and open source communities. | Continue reading


@anaconda.com | 1 year ago

New from Anaconda: Python in the Browser

pyscript.net Supporting open source and creating tools that enable people to do more with less are why I joined Anaconda almost eight years ago. Today, at PyCon US 2022, I'm happy to unveil a new project that we’ve been working on here at Anaconda. We have high hopes that th … | Continue reading


@anaconda.com | 2 years ago

A Python Data Scientist’s Guide to the Apple Silicon Transition

Even if you are not a Mac user, you have likely heard Apple is switching from Intel CPUs to their own custom CPUs, which they refer to collectively as "Apple Silicon." The last time Apple changed its computer architecture this dramatically was 15 years ago when they switched from … | Continue reading


@anaconda.com | 2 years ago

State of Data Science 2021

Anaconda is the birthplace of Python data science. We are a movement of data scientists, data-driven enterprises, and open source communities. | Continue reading


@anaconda.com | 2 years ago

Anaconda Collaborates with Intel to Improve Speed and Scale for ML Workflows

Anaconda is the birthplace of Python data science. We are a movement of data scientists, data-driven enterprises, and open source communities. | Continue reading


@anaconda.com | 2 years ago

Anaconda Support on AWS Graviton2

Today, Anaconda, the world’s most popular Python distribution platform for data science and machine learning, in collaboration with AWS, is happy to announce the general availability of Anaconda for Linux on the aarch64 (arm64) platform optimized for Amazon Web Services’ Graviton … | Continue reading


@anaconda.com | 2 years ago

Six must-have soft skills for every data scientist

Six must-have soft skills for every data scientist | Continue reading


@anaconda.com | 3 years ago

Getting Started with GPU Computing in Anaconda (2017)

GPU computing has become a big part of the data science landscape. Computational needs continue to grow, and a large number of GPU-accelerated projects are now available. In addition, GPUs are now available from every major cloud provider, so access to the hardware has never been … | Continue reading


@anaconda.com | 3 years ago

Anaconda CEO Peter Wang Stepping Down

Anaconda enters a new chapter as Peter Wang, founder and CTO, steps into the role of CEO. Peter is deeply committed to Anaconda and the open-source community. | Continue reading


@anaconda.com | 4 years ago

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… | Continue reading


@anaconda.com | 4 years ago

Anaconda’s Response to DataCamp’s CEO and Board of Directors

DataCamp has been a business partner of our company for almost two years. So we were shocked and saddened by the recent allegations of inappropriate sexual behavior and retaliatory firings made against DataCamp’s CEO and… | Continue reading


@anaconda.com | 5 years ago

Open Source Model Management Roundup: Polyaxon, Argo, and Seldon

One of the most common questions the Anaconda Enterprise team receives is something along the lines of: “But really, how difficult is it to build this using open source tools?” This is certainly a fair… | Continue reading


@anaconda.com | 5 years ago

Python Data Visualization 2018: Why So Many Libraries?

This post is the first in a three-part series on the state of Python data visualization tools and the trends that emerged from SciPy 2018. | Continue reading


@anaconda.com | 5 years ago

Anaconda now packages CUDA and cuDNN libraries for Deep Learning

Get started with TensorFlow in Anaconda Distribution. | Continue reading


@anaconda.com | 5 years ago

Intake: Parsing Data from Filenames and Paths

Intake separates the concepts of the data engineer - the person curating, managing, and disseminating data - from the data user - the person analyzing and visualizing the data. | Continue reading


@anaconda.com | 5 years ago

Anaconda: State of Data Science 2018

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 your overall experience. With this goal in mind, we recently launched our first Anaconda State of Data Science Survey to gain … | Continue reading


@anaconda.com | 5 years ago