Please note that since the publication of this post, Anaconda Nucleus has been renamed Anaconda Cloud.
Nucleus is defined as the central and most important part of an object, movement, or group, forming the basis for its activity and growth. At Anaconda, we believe that the data science and open-source community are at the core of information, knowledge sharing, and new ideas. People are the key to propelling innovation in science, technology, healthcare, government, finance, and thousands of other fields.
So we’ve built a home for community and innovation: Anaconda Nucleus. And, if you registered for AnacondaCON, you’re already a member!
So, what is Anaconda Nucleus?
Anaconda Nucleus is a place where you can learn and share within the community. Right now, members can gain expert insights through guided walk-throughs, videos, webinars, and content from partners, like Data Society. Explore the content library to learn more as you’re getting started or dive deep into the specific tools and resources Python and data science practitioners can use to support their everyday work. You can also bookmark your favorite pieces of content for easy viewing later.
Anaconda Nucleus is also where we’re hosting our AnacondaCON always-on experience. Access the on-demand event to catch up on any sessions you might have missed live. And, if you visit the “Main Menu” at the top of the AnacondaCON virtual event page, you’ll see under “Coming Soon” we’re adding sessions each month, including, GPU 101 – Getting Started with GPUs in Python, How to Get Involved in Open Source, and more that you won’t want to miss!
Beyond a learning hub, Anaconda Nucleus is a place to encourage connection. It will become a place where practitioners can come for reliable and trusted information to build mastery over their tools and exchange findings and learnings with each other.
Why we developed Anaconda Nucleus
Our mission at Anaconda is to empower the whole world with data literacy. The point is to enable everyone, everywhere, to ask more profound questions about the world around them, understand that world, and build a better future based on that understanding.
If you listened to Anaconda’s CEO and co-founder Peter Wang during the opening keynote during this year’s AnacondaCON, you heard him speak about the tremendous growth and adoption of Python. The open-source community has become increasingly diverse, and millions of individuals partake in the tools, practices, and roles in the larger ecosystem.
Because of the diverse maker community, diverse user base, and the new excitement from businesses interested in open-source innovation, it brings up questions and concerns about the future. With rapid growth and interest, is there a level of disconnect between all the players working in open-source? Solving this disconnect is the motivation behind Anaconda Nucleus.
Wang said, “If we don’t solve this disconnection problem, this amazing crowd-sourced, transformational, open-innovation wave will collapse back into old broken patterns. If we want enterprises to surf this wave of innovation, we need to bring it together.”
The data science ecosystem has done an excellent job of delivering software innovation. As a next step, we need to connect individuals and their ways of thinking to make it easier to master, grow, and learn from one another. This will help us serve this changing and increasing diversity.
What’s coming next
Expect more from Anaconda Nucleus in the coming months! Our goals include onboarding content partners, hosting events, and connecting practitioners with each other.
In addition to showcasing more content throughout the year, we’re focused on providing guidance for workflow problems and where individuals are getting the most stuck. This workflow-problem support will mainly involve harnessing cloud computing, moving to the cloud, or doing a hybrid workflow. While some of this will be with our technology, we will lean on our partners and showcase them, too. The goal is to dramatically simplify an area that is highly confusing and problematic for practitioners.
Lastly, we will be exploring ways to connect the open-source Python data developer community with its users. So many developers wish they had a way to ask their users questions, and there is no good way to do that right now. We’re looking at ways we can surface better analytics, conversational tools, and more.
Ultimately, the purpose of Anaconda Nucleus is to bring our community together and allow everyone to contribute and learn from each other. We look forward to sharing new updates from Anaconda Nucleus and hope you enjoy exploring the platform today.
