Structured Query Language (SQL) is used to communicate with a database using queries to insert, delete, and select data of interest. The read_sql_query function in pandas providesus a way to subset and load data from a relational database into Python. Similarly, we canload a whole relational table using the pandas read_sql_table function, which will simplyshow in tabular format as a pandas DataFrame data structure. In conclusion, importing data into Python was not always simple. To allow for a wide range of different data formats, pandas has simplified the process and provided data scientists withtools to edit the ingested data and important data structures. There are many more examplesif you click the link in the summary slide, but we only covered a handful of the source kindsthat we can ingest into Python. We have now covered the most popular ways to use pandas to import data into Python. Understanding these operations will make it simple for you to import data from numeroussources and data types and to use pandas to alter, examine, and display your data. Thesefeatures will enable you to deal with your data more effectively whether you are a novice oran expert data scientist.