File & Data Management

Learn how Python interacts with persistent data: reading/writing from files, handling structured data formats (CSV, JSON, Excel), and consuming data from web APIs. These skills are crucial for scripting, automation, CTF flag extraction, and building data-driven tools.

Task 1 File Handling – The Basics of I/O

Understand how to open, read, write, and manage files in Python. This is essential for tasks like writing flags to a file, reading wordlists, or logging exploits.

Answer The Questions

Question1.

Which function is used to open a file in Python?

Question2.

What mode allows reading from a file?

Question3.

Which mode overwrites content in a file?

Question4.

How can you check if a file exists before opening it?

Question5.

Which method reads all lines of a file into a list?

Question6.

What error is raised when trying to open a non-existent file in read mode?

Question7.

Which method would you use to move the file cursor?

Question8.

Which keyword ensures files close automatically after use?

Task 2 CSV & Excel – Taming Tabular Data

Work with structured data formats used in recon reports, leaked credentials, and exported results.

Answer The Questions

Question1.

Which Python module handles CSV files?

Question2.

Which method writes a single row to a CSV file?

Question3.

Which module reads .xlsx Excel files?

Question4.

What data science library can read both CSV and Excel files?

Question5.

Which pandas function loads a CSV file into memory?

Question6.

Which pandas function writes a DataFrame to a CSV file?

Question7.

Which pandas method writes data to an Excel file?

Question8.

Which method in openpyxl returns all the sheet names in an Excel workbook?

File & Data Management

Task 1 File Handling – The Basics of I/O

Task 2 CSV & Excel – Taming Tabular Data

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