课程: Lessons from Data Scientists
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Favorite tools to excel in data science
- As a data scientist, I absolutely love Python. It's the tool that, no matter what, I will always have a use for. The way I see it, Python could solve any problem. Well it may not be the best tool for that particular problem, you could use it if you wanted to. And that includes data visualization, predictive analytics, like with psychic learn, deep learning as well with Kerus and PyTorch and things like that. Python is incredibly flexible and generally can handle any problem you have. Personally, I've really enjoyed working with Databricks. It's a tool that has a unified analytics approach to data engineering and data science in one shared ecosystem. And it leverages the distributed computing powers of spark. So it allows you to, write in Python or R or Scala. And as a result, you can utilize spark clusters to handle really heavy workloads that otherwise would fail on your local machine or, or you may have…