This tutorial covers file operations in Python, including reading, writing, and deleting files. It demonstrates how to handle CSV, JSON, and Excel files using Python libraries like Numpy and Pandas. The video also includes practical activities with TC Lab, showcasing how to write and read data files efficiently. Key concepts include file management, data manipulation, and the use of Python libraries for data science tasks.

What is the primary purpose of using the 'open' command in Python?

• To execute Python scripts

• To open a web browser

• To read or write files

• To compile Python code

Which Python module is commonly used for handling CSV files?

• csv

• json

• os

• math

What function does Numpy provide for saving data to a text file?

• export_data

• save_text

• write_text

• save_file

Which library is used in Python for data analysis and manipulation?

• Numpy

• Pandas

• Matplotlib

• Scipy

What is the purpose of the 'index=False' parameter in Pandas?

• To exclude row numbers

• To sort the data

• To include row numbers

• To filter the data

How can you read a CSV file using Pandas?

• pd.read_csv()

• pd.load_csv()

• pd.import_csv()

• pd.open_csv()

What is the purpose of the 'skiprows' parameter in Numpy's loadtxt function?

• To skip the last few rows

• To skip empty cells

• To skip the first few rows

• To skip the first few columns

Which module in Python is used to delete files?

• delete

• file

• sys

• os

What does the glob module help with in Python?

• Finding and handling multiple files

• Compiling Python code

• Visualizing data

• Connecting to databases

In the practical activity, which library is used to write data to a CSV file?

• Pandas

• CSV

• Matplotlib

• Numpy