![]() If this rate of growth continues, by the end of the year, Anaconda could be pushing 2 to 3 million downloads per month. However, over the first six weeks of 2017, there have been 2 million more downloads. ![]() Just consider the numbers:Īt the end of 2015, Anaconda had been downloaded 3 million times, a number that exploded to 11 million in December 2016. We solved that problem… Travis and Peter, being visionaries, saw that that was going to be an impediment to the adoption of Python, so they solved that problem.” A Must-Have Data Science ToolsetĪnaconda has quickly become a must-have tool for data scientists and budding quantitative analysts. “First thing, it says, ‘Thanks for trying, but I’m dependent on 10 different other packages.’ And you have to get the right version and you have to work together and you have to do the build. “Let’s say you’re going to install the Scikit-learn package,” Chambers said. That’s the genius behind Anaconda and the original conda package management tool. Wang and his Continuum co-founder Travis Oliphant, who is now the company’s chief data scientist, had the foresight to realize that, while these Python tools were powerful in of themselves, they become exponentially more powerful if they could all work together. “Our company is different in that a lot of the core innovations are available free, for the most part.”Īnaconda is so remarkable because it includes more than 720 libraries, frameworks, and assorted other open source tools developed by data scientist and researchers working in “real” sciences like astrophysics, biology, etc. Most of these libraries are linked through their common use of Python, although there are a smattering of tools written in R too.Ĭontinuum Analytics co-founder and Chief Data Scientist Travis Oliphant “We’re not going to make every dollar there is to be made in data science, and I’m kind of okay with that,” Wang told Datanami. Only a small fraction the 13 million people who have downloaded Anaconda become paying customers, and that suits the company just fine, according to Continuum co-founder and CTO Peter Wang. Cloudera develops proprietary add-ons in areas like management, monitoring, and security, that aren’t apt to be tackled by the open source community, and bundles them in enterprise offerings, like Cloudera Manager. Instead, Chambers likens Continuum’s business model more to what Cloudera has done with Apache Hadoop. “And then, once it becomes mature enough, we say, ‘Now we’re going to surface this up through our enterprise offering, our enterprise platform, and add bits that are proprietary that enterprises care about.'” Not the Next Red HatĬhambers is adamant that Continuum it’s not aiming to be “the next Red Hat of data science,” a comparison that is growing old. We bring other people into the project and harden it,” she continued. ![]() “What we do is we look at the Python ecosystem, we identify gaps in the ecosystem, and then we’ll incubate an open source project,” Anaconda Business Unit EVP and Continuum CMO Michele Chambers told Datanami at last week’s conference. You may not know it, but Anaconda uses a similar open source business model as the ASF, all bound by a common BSD license. In the meantime, the folks at Continuum, under new CEO Scott Collison, will be looking to build their data science platform into a true juggernaut that rivalling other big data ecosystems coalescing around the Apache Software Foundation. By all measures, the two-day conference was a success-Wednesday night’s AnacondaCON Carne bar-b-que party was quintessentially Austin-esque–and planning is already underway for next year’s event, to be held in April. More than 400 people attended Continuum Analytics‘ inaugural AnacondaCON event last week in the company’s hometown of Austin, Texas. What made the collection of mostly Python-based tools so popular to data hackers-a dedication to openness, interoperability, and innovation-is also the strategy behind Continuum Analytics’ business expansion, and possibly even an IPO. With more than 13 million downloads to date, Anaconda is blossoming into a real phenomenon in a crowded data science field.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |