Complete Summary and Solutions for File Handling in Python – NCERT Class XII Computer Science, Chapter 2 – Text Files, Binary Files, Opening, Closing, Reading, Writing, Pickle Module, Questions, Answers

Detailed summary and explanation of Chapter 2 'File Handling in Python' from the Computer Science textbook for Class XII, covering types of files (text and binary), file opening and closing modes, reading and writing operations, file pointer functions (seek and tell), pickling and unpickling with the pickle module, and practical examples—along with all NCERT questions, answers, and exercises.

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Categories: NCERT, Class XII, Computer Science, Chapter 2, File Handling, Python, Text Files, Binary Files, Pickle, Summary, Questions, Answers, Programming, Comprehension
Tags: File Handling, Python, NCERT, Class 12, Text Files, Binary Files, Pickle Module, Reading Files, Writing Files, Serialization, Deserialization, Summary, Explanation, Questions, Answers, Programming, Chapter 2
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File Handling in Python - Class 12 Computer Science Chapter 2 Ultimate Study Guide 2025

File Handling in Python

Chapter 2: Computer Science - Ultimate Study Guide | NCERT Class 12 Notes, Questions, Code Examples & Quiz 2025

Full Chapter Summary & Detailed Notes - File Handling in Python Class 12 NCERT

Overview & Key Concepts

  • Chapter Goal: Understand files for permanent data storage; types (text/binary), operations (open/close/read/write/offsets), pickle for objects. Exam Focus: Open modes Table 2.1, Programs 2-1 to 2-8, Fig 2.1; 2025 Updates: Emphasis on binary handling in data science. Fun Fact: Robin Milner quote on program understanding ties to file persistence. Core Idea: From volatile vars to reusable files; real-world: Employee records. Expanded: All subtopics point-wise with evidence (e.g., Program 2-1 output), examples (e.g., seek(10,0)), debates (e.g., text vs binary efficiency).
  • Wider Scope: From secondary storage to serialization; sources: Programs (2-1 to 2-8), tables (2.1), figures (2.1). Interlinks: To exceptions Ch1 for file errors.
  • Expanded Content: Include modern aspects like CSV/JSON handling, pathlib module; point-wise for recall; add 2025 relevance like async file I/O.

Introduction & Types of Files

  • Files Overview: Named secondary storage for reuse; vars temporary, files permanent (e.g., employee data). Ex: .py scripts as files.
  • Text Files: Human-readable chars (ASCII/UNICODE); EOL \n; separated by space/,/\t. Ex: .txt, .py, .csv; Activity 2.1: .txt bytes vs .docx KBs (metadata).
  • Binary Files: Non-readable bytes (images/audio); specific software; fragile (bit flip corrupts). Ex: .dat, .jpg.
  • Example: Storage: Text: Chars to bytes (65='A'); Binary: Direct bytes. Evidence: Activity 2.1 comparison.
  • Practical Difficulties: Text easy edit, binary secure but error-prone. Solutions: Python io module.
  • Expanded: Evidence: Page 20-21; debates: Text for logs, binary for media; real: Post-2020 big data files.
Conceptual Diagram: File Types Flow

Flow: Data Input → Text (ASCII + \n) or Binary (Bytes Stream) → Storage → Access (Editor/Software). Ties to Table 2.1 modes.

Why This Guide Stands Out

Comprehensive: All subtopics point-wise, program integrations; 2025 with data serialization, processes analyzed for real code.

Opening and Closing Files

  • open() Function: file_obj = open(name, mode); returns handle. Ex: Modes Table 2.1 (r/w/a/b/+); offset positions.
  • Attributes: .closed (bool), .mode (str), .name (str). Ex: myobj = open("file.txt", "a+"); at end.
  • close(): file_obj.close(); frees resources, flushes buffer. Auto on reassign.
  • with Clause: Auto-close; safer. Ex: with open("file.txt", "r+") as obj: content = obj.read().
  • Activity 2.2: Modes like rb+ (read binary +), offset beginning.
  • Expanded: Evidence: Page 21-23; real: Path for non-local files.

Writing to Files

  • write(): Writes string; returns chars count; add \n. Ex: obj.write("Hey\n") → 41; str() for nums.
  • writelines(): Iterable of strings; no count return. Ex: lines = ["Hello\n", "World\n"]; obj.writelines(lines). Activity 2.3: vs write() adds spaces.
  • Buffer: Data to buffer, close/flush to disk. Think: New file w=a.
  • Expanded: Evidence: Page 24-25, Fig 2.1; debates: writelines for lists.

Quick Code: Writing

with open("test.txt", "w") as f:
    f.write("Line 1\n")
    f.writelines(["Line 2\n", "Line 3\n"])

Output: test.txt with three lines.

Reading from Files

  • read(n): Bytes/chars; no n=whole file. Ex: obj.read(10) → 'Hello ever'; read() → full.
  • readline(n): One line up to \n; loop for all. Ex: readline(10) → partial line; empty at EOF.
  • readlines(): List of lines with \n. Ex: ['Hello\n', ...]; split() for words, splitlines() for clean lines.
  • Program 2-1: Write input, read loop; output: Echoes string.
  • Activity 2.4: Iterator for multiline.
  • Expanded: Evidence: Page 25-27; real: Traversing logs.

Offsets: tell() and seek()

  • tell(): Current byte position. Ex: After read() → 33.
  • seek(offset, ref): Move; ref 0=begin,1=current,2=end. Ex: seek(10,0) → byte 10.
  • Program 2-2: Read, tell(33), seek(0), seek(10), read rest; output: Partial string.
  • Think: seek same for text/binary? (Yes, bytes-based).
  • Expanded: Evidence: Page 28-29; debates: Random vs sequential access.

Creating and Traversing Files

  • Creating: open("file.txt", "w/a"); w overwrites, a appends. Program 2-3: Loop input to practice.txt.
  • Traversing: readline() loop; empty=EOF. Program 2-4: Displays lines.
  • Read+Write: w+ mode; seek(0) after write. Program 2-5: Input sentences, tell(67), read back.
  • Outputs: Echo inputs; byte positions.
  • Expanded: Evidence: Page 30-31; real: Log files.

Exam Code Studies

Program 2-1 read loop; 2-3 create; 2-5 full r/w; 2-8 pickle employees.

Pickle Module

  • Overview: Serialize/deserialize objects (pickling/unpickling); binary files (wb/rb).
  • dump(): pickle.dump(obj, file); Ex: Program 2-6: List to mybinary.dat.
  • load(): obj = pickle.load(file); Ex: Program 2-7: Loads list [1, 'Geetika', ...].
  • Program 2-8: Employee records (list) append/load; try-except EOFError; output: Records + size 216.
  • Expanded: Evidence: Page 32-35; debates: JSON vs pickle (security).

Summary & Exercise

  • Key Takeaways: Files for persistence; text/binary diff; io methods; pickle for objects. Close always; with safer.
  • Exercise Tease: Diff text/binary; modes; programs for read/write/pickle.