The Most Popular Python Data Science Platform
Streamline your data science workflows from data ingest through deployment
Leverage & integrate all your data sources to extract the most value from your data
Create, collaborate & share with your entire team—from analysts to executives
Strata Data Conference, NEW YORK––September 26, 2017––Anaconda, Inc., the most popular Python data science platform provider, today announced it is partnering with Microsoft to embed Anaconda into Azure Machine Learning, Visual Studio and SQL Server to deliver data insights in real time.
Anaconda, the most popular Python data science platform provider, today announced that several company experts will present two sessions and one tutorial at The Strata Data Conference on September 26 and 27 at the Javits Center in New York City.
Anaconda Enterprise 5 Introduces Secure Collaboration to Amplify the Impact of Enterprise Data Scientists
Anaconda, the Python data science leader, today introduced Anaconda Enterprise 5 software to help organizations respond to customers and stakeholders faster, deliver strategic insight for rapid decision-making and take advantage of cutting edge machine learning.
The Strata conference will always hold a place in my heart, as it’s one of the events that inspired Travis and I to found Anaconda. We listened to open source-driven talks about data lakes and low-cost storage and knew there would be a demand for tools to help organizations and data scientists derive value from these mountains of information.
In this post, I want to dive deeper and demonstrate several aspects of using Numba on the GPU that are often overlooked. I’ll quickly breeze through a number of topics, but I’ll provide links throughout for additional reading.
School is back in session and now is the time students are thinking about their future. When considering options, science-oriented students are likely thinking about what is arguably today’s hottest technology: artificial intelligence (AI).
Empower your data science team with one-click deployments from Anaconda Enterprise
Traditional data science project deployments typically involve complex, time-consuming processes that take data scientists away from what they do best: exploring and analyzing data. But why place this burden on your data science team when Anaconda Enterprise can handle the process instead–all with the single click of a button?
How Teamwork Leads to Victory
Being the defacto leader in Open Data Science, we wanted to learn more about the executive requirement for Open Data Science in enterprise and conducted the first ever Open Data Science Survey. This illuminating flagship survey delivers surprising insight along with validating stats for those familiar with the data science industry.
This report, “Winning at Data Science: How Teamwork Leads to Victory,” on the state of data science highlights is now available for download.
How Open Data Science is Eating the World
Deliver Collaboration, Self-Service and Production Deployment with Open Data Science
Data science has burst into public attention over the past few years as perhaps the hottest and most lucrative technology field. No longer just a buzzword for advanced analytics, data science is poised to change everything about an organization: its potential customers, expansion plans, engineering and manufacturing process, how it chooses and interacts with suppliers and more.