Test your knowledge
Keep in mind that many of the questions asked in Chapter 2 about R also apply to Python. It is therefore recommended that you answer those as well, if you have not already done so.
- Which Python distributions are most widely used by data scientists?
- What are the most commonly used tools for installing packages in Python? What are their most important differences?
- How many instances of the engine should be installed to ensure reproducibility of results for Python scripts in Power Query and Python script visuals?
- A colleague of yours has prepared a virtual environment dedicated to Python script visuals, containing the latest Python release allowed by Miniconda. Did he follow the best practices stated in this chapter?
- Suppose you created a report with a Python script visual that highlights insights from a dataset created by uploading data from an HTML table available on the web. What do you need to allow a refresh of the data once...
