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 […]
Anaconda and Kx Systems Partner to Deliver kdb+ Database System and Related Machine Learning Libraries
Anaconda, Inc., the most popular Python data science platform provider with 2.5 million downloads per month, is pleased to announce an exciting new partnership with Kx Systems, a provider of fast, efficient, and flexible tools for processing real-time and historical data. As part of our partnership, Anaconda has added the kdb+ database system, and related […]
TensorFlow in Anaconda
TensorFlow is a Python library for high-performance numerical calculations that allows users to create sophisticated deep learning and machine learning applications. Released as open source software in 2015, TensorFlow has seen tremendous growth and popularity in the data science community. There are a number of methods that can be used to install TensorFlow, such as […]
Python 3.7 Package Build Out & Miniconda Release
By Ray Donnelly & Crystal Soja We are pleased to announce that Python 3.7 packages for all supported platforms and packages of the Anaconda Distribution Repository (repo.anaconda.com) are now available. There are 865 packages built for Linux, 864 packages built for macOS, and 779 packages built for Windows. Python 3.7, released June 27, 2018, represents […]