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Advanced Python File Handling Assignment

Name: Arun Kumar


Section A – Advanced Text File Operations

A1_chunks.py Reads large text files in chunks using a generator and counts words.

A2_log_parser.py Parses web server logs using regex and exports data to CSV.

A3_config_parser.py Reads and writes custom configuration files.

A4_search_replace.py Performs recursive search and replace across multiple files.


Section B – Structured Data Formats

B1_csv_transform.py Converts custom CSV format into standard CSV using csv module and pandas.

B2_json_update.py Validates JSON objects using schema and updates product prices.

B3_xml_to_json.py Converts XML files into JSON while preserving attributes.

B4_excel_report.py Generates Excel reports with summary and charts.


Section C – Binary Files and Serialization

C1_binary_reader.py Reads structured binary records using struct.

C2_png_metadata.py Extracts image metadata directly from PNG binary structure.

C3_pickle_vs_json.py Compares serialization performance between pickle and JSON.

C4_xor_encrypt.py Implements XOR file encryption and decryption.


Section D – File System Operations

D1_disk_usage.py Analyzes directory size and file types.

D2_file_watcher.py Monitors directories for file changes using watchdog.

D3_safe_move.py Moves files safely with conflict resolution.

D4_temp_file_processing.py Downloads files in chunks and computes SHA256 hash.


Section E – Mini Project

E_task_queue.py File-based persistent task queue with CLI.

Features:

  • Add tasks
  • List tasks
  • Run queued tasks
  • Clear queue
  • Crash recovery
  • Scheduled tasks

E_dashboard.py Flask web dashboard for monitoring queue and execution logs.


Running Instructions

Install dependencies:

pip install -r requirements.txt

Run scripts individually:

python A1_chunks.py python B2_json_update.py python C3_pickle_vs_json.py python D1_disk_usage.py

Mini-project:

python E_task_queue.py add add 5 7 python E_task_queue.py list python E_task_queue.py run

Run dashboard:

python E_dashboard.py Open http://127.0.0.1:5000

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