What are the answer choices ????
Answer:
IDLE
Explanation:
IDLE is the standard Python development environment. Its name is an acronym of "Integrated DeveLopment Environment". It works well on both Unix and Windows platforms.
It has a Python shell window, which gives you access to the Python interactive mode. It also has a file editor that lets you create and edit existing Python source files. IDLE is intended to be a simple IDE and suitable for beginners, especially in an educational environment. To that end, it is cross-platform, and avoids feature clutter.
Assuming the name of your data frame is flavors_df, the code chunk which will allow review of the structure of the data frame is colnames(flavors_df).
<h3>
What is Code chunk?</h3>
This is referred to a a runable piece of R code and helps to reduce incidents of mismatch pertaining to the commentary in a paper and the results being discussed.
In the case of a data frame which is flavors_df, the appropriate code chunk is colnames(flavors_df) which allow for extensive review of the item with the barest minimal error which is why it was chosen as the most appropriate choice.
Read more about Code chunk here brainly.com/question/25525005
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1.Create the root CA directory: mkdir -p /root/internalca cd /root/internalca.
2.Generate the private key of the root CA: openssl genrsa -out rootCAKey.pem 2048.
3.Generate the self-signed root CA certificate: ...
4.Review the certificate:
This is false. Data warehousing is storing the data. Data mining is retrieving and analyzing data from the data warehouse.
