Python In Practice - 15 Projects to Master Python - Data Processing

This video tutorial covers importing various data file formats into a Jupyter Notebook using pandas. It begins with an introduction to data import, focusing on CSV files, and demonstrates how to import them into a pandas DataFrame. The tutorial then explains how to handle JSON files, highlighting the differences in format and import process. Finally, it addresses importing Excel files, emphasizing the use of pandas functions to read and process these files. The tutorial sets the stage for future lessons on data cleansing and analysis.

What does CSV stand for?

• Code Separated Values

• Comma Separated Values

• Character Separated Values

• Column Separated Values

Which library is used to import CSV files in Python?

• SciPy

• NumPy

• Matplotlib

• Pandas

What function is used to read CSV files in pandas?

• fetch_csv

• read_csv

• load_csv

• import_csv

How are JSON files different from CSV files?

• JSON files are not readable by pandas

• JSON files use semicolons to separate values

• JSON files are more like dictionaries with key-value pairs

• JSON files are only used for images

Which function is used to import JSON files in pandas?

• import_json

• load_json

• fetch_json

• read_json

What is the file extension for Excel files?

• .xlsx

• .txt

• .json

• .csv

Which function is used to read Excel files in pandas?

• read_excel

• load_excel

• import_excel

• fetch_excel