Data Science Tools and Ecosystem

In this notebook, Data Science Tools and Ecosystem are summarized.

#Objectives:

• List popular languages for Data Science
• List popular environment
• A table of data science
• Evaluating expresions in phyton

Some of the popular languages that Data Scientists use are:

languagelist = ("phyton", "R", "SQL") print (languagelist)

Some of the commonly used libraries used by Data Scientists include:

dslibraries = ("NumPy", "Pandas", "Matplotlib", "scikit", "ggplot") print (dslibraries)

a table of Data Science tools

df = data.frame(data_science_tools = c("RStudio", "VS Code", "JupyterLab") )

print(df)

Below are a few examples of evaluating arithmetic expressions in Python

This a simple arithmetic expression to mutiply then add integers

(3*4)+5

This will convert 200 minutes to hours by diving by 60

200/60

Author

Susan Mohammad