Effective Data Science with PyCharm

According to a recent survey, Python is the most popular language among data scientists. PyCharm is a great IDE, but I noticed the trap of only using a subset of PyCharm's features. To help fix this, I created a Pluralsight course to boost Python productivity in the context of data science, by making the most out of PyCharm. In this webinar, I demo and discuss some PyCharm features that I present in more detail in the course.

About the Presenter:
Dan Tofan is a backend software engineer with Digital Science, at their Romania office. He uses Python, Linux, Kubernetes and the Amazon cloud to help advance research with dimensions.ai - an innovative research data platform.

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