Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

Anaconda Data Science Survey Results

DZone's Guide to

Anaconda Data Science Survey Results

In this post, a Python expert breaks down Anaconda's recent survey results and briefly explores their implications for the field of data science.

· Big Data Zone ·
Free Resource

Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.

Anaconda announced the results of their first "state of data science" survey today. Out of the 4,218 responses, 26% were from students, 16% were from data scientists, 15% were academics, and 15% were software developers.

The key takeaways according to Anaconda are as follows:

  • 99% of respondents use Anaconda for Python.
  • Docker and Kubernetes are beating out Hadoop/Spark.
  • Google Cloud data services beat out Amazon Web Services and Microsoft's Azure.
  • Matplotlib is still the top package for visualization. However "Plotly, Tableau, Microsoft Power BI, and Tibco Spotfire are all strong commercial competitors to Matplotlib and other open source projects like ggplot, Bokeh, D3, and Altair."
  • 14% of respondents do machine learning with Anaconda.
  • The fact that Anaconda is free was ranked as its most important attribute while the fact that it has open source licensing was second to last.

That last bullet point kind of bothers me, but I guess students don't understand the importance of open source. Regardless, this is a really interesting survey on one of the top alternative versions of the Python distribution. You can read the full announcement here.

Hortonworks Community Connection (HCC) is an online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub.  Join the discussion.

Topics:
big data ,python ,anaconda python environment ,data science

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}