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

The open source HPCC Systems platform is a proven, easy to use solution for managing data at scale. Visit our Easy Guide to learn more about this completely free platform, test drive some code in the online Playground, and get started today.

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.

Managing data at scale doesn’t have to be hard. Find out how the completely free, open source HPCC Systems platform makes it easier to update, easier to program, easier to integrate data, and easier to manage clusters. Download and get started today.

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 }}