Tag: data science

Conda + Pixi Quick Start Guide: Modern Python Environment Management

Managing Python environments and dependencies can be one of the most frustrating aspects of Python development. Enter conda and Pixi—two powerful tools that, when used together, create a streamlined workflow for managing packages, environments, and project dependencies. This guide will get you up and running with both tools in minutes. What Are Conda and Pixi? […]

Python Data Structures: Types, Use Cases, and Complexity

Understanding Python data structures might seem purely academic—until you’re processing millions of records and your code takes hours instead of minutes. The structure you choose determines whether operations take constant time or scale linearly with data size. Working with a large numerical dataset? NumPy arrays can deliver 10-100x performance improvements over lists. Need fast lookups? […]

New Release: Anaconda Distribution 2025.12

We are excited to announce the 2025.12 release of the Anaconda Distribution installer, which includes: Python – the most widely used programming language for AI, data science and machine learning conda – the open-source, cross-platform package and environment manager Anaconda Navigator – our desktop application, built on conda, that enables you to launch notebooks and […]

State of Data Science and AI: How Companies Are Moving Ahead (Or Not) in the AI Race

Fewer than one in four companies—only 22%—consider their AI deployment as strategic. That’s according to the respondents of our State of Data Science and AI survey. An unclear or absent strategy can limit how productive artificial intelligence (AI) initiatives become.  However, we’re seeing progress toward those strategic approaches. In particular, there’s a varied mix of […]

Five Python Data Visualization Examples to Transform Your Enterprise Data

Python has revolutionized data visualization by providing powerful, flexible tools that transform complex data sets into compelling visual narratives. Unlike traditional approaches limited to Excel spreadsheets or proprietary software like Tableau, Python offers unparalleled control over every aspect of data visualization—from basic bar charts and line graphs to sophisticated interactive dashboards and real-time data monitoring […]

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 […]

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’s Q2 2023 Open-Source Roundup

Substantial and impactful open-source innovation is at the heart of Anaconda’s efforts to provide tooling for developing and deploying secure Python solutions, faster. With the goal of capturing and communicating our teams’ many ongoing contributions to a wide variety of open-source projects, we are now providing regular roundups of related news items on our blog. […]

Anaconda’s Q4 2022 Open-Source Roundup

Substantial and impactful open-source innovation is at the heart of Anaconda’s efforts to provide tooling for developing and deploying secure Python solutions, faster. With the goal of capturing and communicating our teams’ many ongoing contributions to a wide variety of open-source projects, we are now providing regular roundups of related news items on our blog. […]