Python Functions, Files and Data Structures
Class 12 Computer Science Interactive Learning Workbook: Master Python functions, parameter passing, return values, variable scope, exception handling (try-except-finally), text file processing (r, w, a, r+, w+, a+), seek and tell positioning, binary files and pickle serialization, CSV row handling, and LIFO stacks across 11 structured modules.
Course Chapters & Learning Modules
Total 11 interactive modules with guided checkpoint challenges.
Module 1: Functions: Build Reusable Python Steps
Understand the core purpose of functions, differentiate between built-in, module, and user-defined functions, and trace function definition vs execution call.
Module 2: Parameters, Arguments, Return Values and Scope
Master parameter passing, positional and default arguments, returning values from functions, and the fundamental rules of local vs global variable scope.
Module 3: Exception Handling: try, except and finally
Build fault-tolerant Python applications using try, except, else, and finally blocks, handling runtime exceptions gracefully without abrupt crashes.
Module 4: Files: Types, Paths and Opening Modes
Understand persistent data storage: classify text, binary, and CSV file formats, differentiate absolute vs relative paths, and master standard file open modes.
Module 5: Text Files: Reading, Writing and Appending
Read and write text files using read(), readline(), readlines(), write(), writelines(), and manage file lifecycles safely using the with statement.
Module 6: Text Files: Position, Update and Data Work
Track and reposition file stream pointers using tell() and seek(), master read/write modes (r+, w+, a+), and plan safe text file update workflows.
Module 7: Binary Files and Pickle Basics
Understand binary byte storage, open binary files using 'b' modes (rb, wb, ab), and serialize/deserialize complex Python objects using pickle dump() and load().
Module 8: Binary Records: Search, Append and Update
Manage structured records in binary files: search by primary key, append new records, update existing records in memory, and handle EOFError cleanly.
Module 9: CSV Files: Read and Write Rows
Work with tabular comma-separated value files using Python's csv module, mastering csv.reader, csv.writer, writerow(), writerows(), and newline handling.
Module 10: Stacks: Last In, First Out
Understand the Stack linear data structure, master LIFO (Last In, First Out) behavior, implement push, pop, peek, and is-empty operations using Python lists, and handle stack underflow.
Module 11: Putting It Together: Functions, Files and Stacks
Connect modular functions, exception handling, file persistence (text, binary, CSV), and stack data structures into integrated application solutions, and master the comprehensive Checkpoint Exam.
Learn With Pragati AI Today
Adopt your interactive companion, write live code, and earn verifiable school credentials.