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Anaconda cloud5/16/2023 Domain name must be pointed to your Alibaba Cloud ECS's IP address.If you have already registered a domain from Alibaba Cloud or any other host, you can update its domain nameserver records. A domain name registered from Alibaba Cloud.At least 3GB free disk space is required for installing Anaconda Python.Your ECS instance must have at least 1GB RAM and 1 Core processor. If you don't knows about how to setup your ECS instance, you can refer to this tutorial or quick-start guide. If you are a new user, you can get $300 - $1200 worth in Alibaba Cloud credits for your new account. You must have Alibaba Cloud Elastic Compute Service (ECS) activated and verified your valid payment method. ![]() In this tutorial, we will be installing and setting up Anaconda Python on an Alibaba Cloud Elastic Compute Service (ECS) instance with Ubuntu 16.04 installed. It allows organizations to scale from individual data scientists to a collaborative group of data scientists, and from a single server to thousands of nodes for model training and deployment. Anaconda helps organizations to develop, manage, and automate AI/ML, regardless of the scale of deployment. Tech Share is Alibaba Cloud's incentive program to encourage the sharing of technical knowledge and best practices within the cloud community.Īnaconda is an open source and free distribution of Python and R programming languages used for data science and machine learning related applications. More courses will become available through Anaconda Learning periodically.By Arslan Ud Din Shafiq, Alibaba Cloud Tech Share Author. ![]() ![]() Or join Thomas Nield, founder of the Nield Consulting Group and instructor at the University of Southern California, in his comprehensive Introduction to Machine Learning course.Īll data science methods taught through Anaconda Learning are vetted, trusted, and battle tested by Anaconda. Launch our in-depth course on how to Get Started with Anaconda or jump in with this 3-hour Introduction to Python Programming course! Learn how to read Python code, write loops, create objects and functions, and more!įor those ready to dive in a little deeper, access our beginner-friendly courses on more advanced topics and learn from Anaconda’s resident Senior Data Scientist, Sophia Yang, as she breaks down how to approach, understand, and derive insights in her Introduction to Data Visualization with Python course. We’re also thrilled to introduce Anaconda Learning, an on-demand training portal where users can access experts who will break down the most complex data science concepts into foundational step-by-step instructions and bite-size code challenges.Īccess on-demand, self-paced modular coursesĬode with experts side by side with Anaconda Notebooks On-Demand, Expert-Led Data Science Training Native conda package and environment managementĥGB of fast, backed-up, persistent storageĪccess to a library of sample projects and notebooks Ready-to-code Anaconda environment with hundreds of packages It is 100% cloud hosted, browser based, and installation and configuration free. Now available, Anaconda Notebooks allows you to start coding with Anaconda immediately-anytime and anywhere you have an internet connection. We are incredibly excited to announce the release of a brand-new suite of products on the Anaconda Nucleus platform: Anaconda Notebooks and Anaconda Learning. Since the launch of our online community, Anaconda Nucleus, we have seen search terms like ‘Jupyter’ and ‘Python tutorial’ flood the platform as thousands of users look to get started. ![]() It is humbling to serve such a large portion of the data science community.Īs we continue to provide millions of people access to thousands of data science, AI, and machine learning packages, we asked ourselves, “How can we further expand access to data literacy and numerical computing? What can we do to further lower the barrier to entry?”Īnaconda has been preparing the answer to that question for quite some time. We watched our community grow as Python became the world’s most popular programming language, as our CEO and co-founder Peter Wang announced the PyScript project, and as we expanded into new realms of data science tooling with our acquisition of PythonAnywhere. This year, Anaconda surpassed a milestone-we now have over 30 million users worldwide.
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