Practical Tech Scripting

Python Automation & Web Scraping

Python remains the lingua franca of automation and scripting. Master end-to-end data pipelines that scrape public listings, automatically email executive summaries, process PDFs, and expose quick microservices.

Curated 2026 Curriculum GuideProject-Based Track

Python 3Playwright / SeleniumBeautifulSoupPandasFastAPICelery

🇮🇳 Indian Market Benchmark

Expected CTC Range₹4.5L – ₹12.5L LPA

Estimated Timeline8 – 10 Weeks

Demand Scope12,000+ Openings

Experience LevelFresher Friendly

Top Hubs:Bengaluru, Pune, Noida, Hyderabad, Kolkata

Explore Career Compass Match

Core Track Highlights

Easiest first programming language with immense immediate workplace utility

High freelance demand for web data extraction and lead scraping on Upwork

Direct springboard to Data Engineering, Machine Learning, and QA Automation

Structured Phase-by-Phase Syllabus

Focus on build-by-doing milestones rather than passive video consumption.

Weeks 1 - 3

Phase 1: Core Python & File Automation

Data structures, list comprehensions, error handling
Working with OS, JSON, CSV, and Excel automation (openpyxl)
Regex for phone and PAN/GST extraction

🎯 Milestone Proof Project: Automated Invoice Renamer and CSV consolidator from messy folder dumps.

Weeks 4 - 6

Phase 2: Web Scraping & Browser Automation

BeautifulSoup HTML parsing and requests session handling
Playwright for JavaScript-heavy dynamic websites
Bypassing basic CAPTCHAs, proxies, and user-agent rotation

🎯 Milestone Proof Project: Daily Indian Real-Estate and Gold Price Web Scraper with email alerts.

Weeks 7 - 10

Phase 3: APIs, Fast Microservices & Scheduling

FastAPI endpoints and OpenAPI documentation
Celery & Redis background task queues
Cron scheduling and deployment on cloud instances

🎯 Milestone Proof Project: Public Competitor Pricing API that delivers structured JSON feeds.

Technical Interview Questions & Answers

Q1: What is the Global Interpreter Lock (GIL) in Python?

The GIL is a mutex that allows only one thread to hold control of the Python interpreter at a time in CPython. For CPU-bound tasks, multiprocessing is preferred over multithreading to achieve true concurrency.