Understanding Conda and Pip
Conda and pip are often considered as being nearly identical. Although some of the functionality of these two tools overlap, they were designed and should be used for different purposes. Pip is the Python Packaging Authority’s recommended tool for installing packages from the Python Package Index, PyPI. Pip installs Python software packaged as wheels or […]
Deriving Business Value from Data Science Deployments
One of the biggest challenges facing organizations trying to derive value from data science and machine learning is deployment. In this post, we’l…
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. By James A. Bednar At a special session of SciPy 2018 in Austin, representatives of a wide range of open-source Python visualization tools shared their visions for the future of […]
Choose Your Anaconda IDE Adventure: Jupyter, JupyterLab, or Apache Zeppelin
As humans we are faced with multiple choices every day. Every person is different: some people prefer Firefox while others like Chrome; some people prefe…
Who You Gonna Call? Halloween Tips & Treats to Protect You from Ghosts, Gremlins and Software Vulnerabilities
At Anaconda, we’re not too scared about things that go bump in the night. We’ve examined the data and concluded that it’s just the cleaning staff upstairs. We are, however, kept awake by the ever-present concern of the security and experience of our users! We’d like to take this opportunity to discuss some of the […]
Bringing Dataframe Acceleration to the GPU with RAPIDS Open-Source Software from NVIDIA
Today we are excited to talk about the RAPIDS GPU dataframe release along with our partners in this effort: NVIDIA, BlazingDB, and Quansight. RAPIDS is …
Anaconda Enterprise 5.2.2: Now With Apache Zeppelin and GPU improvements
Anaconda Enterprise 5.2 introduced exciting features such as GPU-acceleration, scalable machine learning, and cloud-native model management in July. Today we’re releasing Anaconda Enterprise 5.2.2 with a number of enhancements in IDEs (Integrated Development Environments), GPU resource management, source code control, and (of course) bug fixes. One of the biggest new benefits is the addition of […]
Intake: Parsing Data from Filenames and Paths
Motivation
Do you have data in collections of files, where information is encoded both in the contents and the file/directory names? Perhaps something li…
Preparing Your Organization for Implementing an AI Platform
You already know that implementing an enterprise-ready AI enablement platform is key to executing your organization’s AI and machine learning init…
Anaconda Distribution 5.3.0 Released
We’re excited to announce the release of Anaconda Distribution 5.3.0! Anaconda Distribution is the world’s most popular and easiest way to learn and perform data science and machine learning. Here’s a rundown of new features. In addition to our Python 2.7 Anaconda installers, as well as Python 3.6 Anaconda metapackages, Anaconda Distribution 5.3 is compiled […]