Top Python Programming Classes Near Delhi Compared for 2026

Comparing Python Classes Near Delhi:
☐ Is the curriculum updated for 2026?
☐ Does it cover OOP, APIs, and real projects?
☐ Are trainers working developers?
☐ Is there a GitHub portfolio track?
☐ Are batch sizes small (1:1 attention)?
☐ Is there a real placement program?
☐ Are demo classes available before enrolling?
☐ Are fees transparent — no hidden charges?
☐ Are weekday and weekend batches available?
☐ Are mock interviews and resume support included?
☐ Do they teach AI-assisted coding workflows?
☐ Is the location easy to reach from your area?

Questions to Ask Before Enrolling:
1. Who are the trainers, and what do they do in the industry?
2. Can I see 3-4 student GitHub portfolios from the last batch?
3. What real projects will I build?
4. How many coding assignments per week?
5. Is data structures and algorithms covered?
6. Are APIs and databases taught?
7. How does placement support work — mock interviews? referrals?
8. What's the average time to placement?
9. Can I attend a free demo class first?
10. What's the total fee — and is there a refund policy?

Python Course — Learning Workflow:

Phase 1 — Fundamentals (Weeks 1-2):
  - Variables, data types, lists, dicts
  - Loops, conditionals, functions
  - File handling and exceptions

Phase 2 — OOP & Modules (Weeks 3-4):
  - Classes, objects, inheritance
  - Modules, packages, virtual environments
  - Writing reusable, clean code

Phase 3 — APIs & Databases (Weeks 5-6):
  - HTTP and requests library
  - Flask or FastAPI basics
  - SQL queries and ORMs

Phase 4 — Projects (Weeks 7-9):
  - Build 2-3 real-world projects
  - Push to GitHub with READMEs
  - Write clean documentation

Phase 5 — Interview Prep (Weeks 10-12):
  - Data structures and algorithms
  - Coding round practice
  - Mock interviews and system design basics

Portfolio Checklist:
☐ 2-3 real Python projects on GitHub
☐ Each project has a clean README
☐ At least one project uses an API or database
☐ Code follows PEP 8 style guidelines
☐ Uses virtual environments and requirements.txt
☐ Includes tests or basic error handling
☐ One CLI or web project showing end-to-end skill
☐ LinkedIn and resume updated with GitHub links
☐ A short project pitch ready for interviews

Verify Trainers & Projects Before Enrolling:

1. Trainer check:
   - Ask for their LinkedIn profile
   - Ask what real projects they've shipped
   - Look for GitHub activity
   - Attend a demo class and watch them code live

2. Student portfolio check:
   - Ask to see 3-4 recent GitHub portfolios
   - Check commit history and READMEs
   - Look for APIs, databases, and real features

3. Project check:
   - Ask for a list of projects you will build
   - Confirm they involve real APIs and databases
   - Confirm GitHub and deployment are covered

4. Mentorship check:
   - Ask about 1:1 doubt sessions
   - Ask how feedback is given on projects
   - Confirm batch sizes are small

Red flags:
- No GitHub portfolios from past students
- Only to-do list projects
- No demo class
- Huge batch sizes with no 1:1 support

Python Project Ideas to Look For:

Beginner:
- CLI to-do app with file storage
- Weather CLI using a public API
- File organizer script

Intermediate:
- Flask or FastAPI REST API with SQL
- Web scraper with a report dashboard
- Expense tracker with charts

Advanced:
- Mini e-commerce backend with auth
- Data pipeline and analysis dashboard
- Chatbot or AI-assisted tool

What to check:
☐ Does the class build at least 2 of these?
☐ Are projects pushed to GitHub with READMEs?
☐ Are deployments or demos shown?
☐ Do past students have similar projects?

Comparing Fees & Placement (2026):

Fees:
- Typical range: ₹15,000 to ₹45,000
- Ask for all-in pricing (no hidden charges)
- Confirm installments and refund policy

Placement support:
- Ask for a written placement process
- Ask for hiring partner names
- Ask for average time-to-placement
- Ask about mock interviews and resume reviews

Red flags:
- "100% placement" with no documentation
- No mock interviews
- No hiring partner list
- No refund policy

What real placement support looks like:
- Weekly mock interviews
- Resume and GitHub reviews
- Interview referrals to real companies
- Follow-up support until you land a job

Comparison Template — Use for Each Class:

Class name: ___________________________
Location: _____________________________

Curriculum:
  ☐ Covers OOP, APIs, databases, projects
  ☐ Includes GitHub portfolio track

Trainers:
  ☐ Working developers (LinkedIn verified)
  ☐ Live coding during demo class

Projects:
  ☐ At least 2-3 real projects
  ☐ APIs and databases included
  ☐ Deployment or demo shown

Fees:
  Total: ₹________
  Installments: ☐ Yes ☐ No
  Refund policy: ☐ Yes ☐ No

Placement:
  ☐ Mock interviews included
  ☐ Hiring partners listed
  ☐ Average time-to-placement: ______

Decision:
  ☐ Enroll ☐ Wait ☐ Skip

Final Decision Checklist:

☐ Curriculum updated for 2026
☐ Trainers are working developers
☐ Past student portfolios are real and visible
☐ Projects include APIs, databases, and deployment
☐ Batch sizes are small with 1:1 support
☐ Fees are transparent with a refund policy
☐ Placement support is documented and real
☐ Demo class was live and clear
☐ Weekday or weekend batches fit your schedule
☐ Location or online option works for you
☐ You felt confident after the demo

If all boxes are ticked → Enroll.
If any critical box is unticked → Look elsewhere.

First Week Plan — After Enrolling:

Day 1: Set up Python, VS Code, and Git
Day 2: Practice basic syntax and data types
Day 3: Solve 3 coding problems
Day 4: Start a small CLI project
Day 5: Push first project to GitHub
Day 6: Review the week's learnings
Day 7: Plan next week — OOP and functions

Habits that matter:
- Code for at least 1-2 hours daily
- Read error messages carefully
- Ask questions during class
- Push code to GitHub every week
- Review your notes every Sunday