Common Misspellings of Andaconda, Anacoda, Ancoda, Anaconda (whew!)

Anaconda is a powerful tool for Python and R developers, data scientists, and enthusiasts alike. It’s not just a massive snake lurking in the jungle; it’s a centralized software package and environment management system that helps you efficiently navigate the Python ecosystem, with powerful security features to help protect your software supply chain. Many people […]

Anaconda Distribution 2023.09: New Release

We are pleased to announce the release of Anaconda Distribution 2023.09. Find the relevant release notes here, and download the installer here. OpenSSL 3.0 One of the main features of this release is the transition from OpenSSL 1.1.1 (which reached end of life on September 11, 2023) to OpenSSL 3.0. Our transition to OpenSSL 3.0 continues our commitment to […]

Introducing Pandata: The Scalable Open-Source Analysis Stack

It is no secret that every scientific, engineering, or analytical discipline has its own specialized computing needs. In fact, many of these disciplines have developed entirely separate sets of tools for working with data, covering data storage, reading, processing, plotting, analysis, modeling, and exploration. Unfortunately, most of these existing stacks are based on outdated architectures […]

End-to-end Data Science Project with Anaconda Assistant

Anaconda has recently announced Anaconda Assistant, an AI-powered Jupyter Notebook extension in Anaconda Notebooks. Created to enhance your coding experience with Python, Anaconda Assistant offers an intuitive chat interface designed to streamline your data science projects. In this blog post, we’ll walk through the key stages of a data science project using Anaconda Assistant including […]

Python for Excel Analysts: Combining Tables

This is the final blog post in a series that teaches you how to work with tables of data using Python code. The subject of this post is a common operation used to prepare data for analysis—combining tables.  As a Microsoft Excel analyst, you’ve likely used Excel functions like VLOOKUP() and XLOOKUP() to combine data tables. It’s the same […]

Changes to Anaconda’s Anonymous Usage Data Collection

Anaconda strives to continually improve the user experience for our customers and communities. We aim to be the premiere provider of secure access to thousands of Python repositories, packages, and libraries, while also supporting the open-source community that powers those packages. These dual goals are reflected in Anaconda’s products and in our open-source contributions. A […]

Anaconda Assistant Brings Generative AI to Cloud Notebooks

Anaconda is excited to announce the public release of Anaconda Assistant, an AI-powered Jupyter notebook extension designed to enhance the productivity of data scientists, developers, and researchers. Anaconda Assistant is now available to all users of Anaconda cloud notebooks. Powered by the same large language model behind ChatGPT, the Assistant provides an intuitive chat interface […]

Numba, Mojo, and Compilers for Numerical Computing

There have been a lot of articles written following Modular’s announcement of Mojo, a Python “successor” language that will bring high performance computing (especially for AI applications) to Python users. Here at Anaconda, we’ve been working on the problem of HPC and Python for over a decade now. As part of that work, we created […]

Is conda Free?

Our current Terms of Service policies can be reviewed here. Conda: An Imagined Conversation Fiona: Is conda free? Dave: Yes. Absolutely and always. F: Then why do some people say conda is not free?  Where does this story come from? Conda Packages and the conda Ecosystem D: There is a distinction between the conda program that installs […]

Python for Excel Analysts: Data Cleaning and Wrangling

This is the fourth in a series of blog posts that teaches you how to work with tables of data using Python code. The subject of this post is one of the most critical operations in data analysis: cleaning and wrangling your data.  In case you’re not familiar, here’s a definition from Wikipedia: “Data wrangling, sometimes […]