Building a education platform with Python? Let us review it.
Expert code review for education platforms built with Python. We fix Python-specific security gaps, optimize performance, and handle deployment. From $19.
Common Python issues we find
Real problems from Python codebases we've reviewed.
Django debug mode in production
DEBUG=True left enabled in production, exposing stack traces, database queries, and configuration to attackers.
Missing CSRF protection
CSRF middleware disabled or bypassed for convenience, allowing cross-site request forgery attacks.
Insecure deserialization
Using pickle or yaml.load with untrusted data, enabling remote code execution.
Slow database queries
ORM queries that generate inefficient SQL, N+1 query patterns, and missing database indexes.
Education Platform challenges to solve
Key education platform concerns that AI-generated code often misses.
Student data privacy
Education platforms often handle data protected by FERPA, COPPA (if serving minors), or GDPR. Student names, grades, progress data, and behavioral analytics all have privacy requirements. AI tools store this data with no awareness of these regulations.
Content access control and paywalls
Paid courses need reliable access gating — enrolled students see course content, everyone else sees the sales page. AI tools generate client-side checks that can be bypassed by inspecting the page source. Server-side content gating with proper enrollment verification is essential.
Progress tracking accuracy
Students expect their progress to be saved reliably — completed lessons, quiz scores, certificates earned. Losing a student's progress is the fastest way to lose their trust. AI-generated progress tracking often uses local storage or has race conditions that lose data.
Video content delivery
Course videos need to stream smoothly at various connection speeds, support seeking, and be protected from unauthorized downloading. AI tools embed videos directly without adaptive bitrate streaming, CDN delivery, or content protection.
What we check
Key areas we review for Python education platform projects.
Content access control — server-side enrollment verification, no client-side bypasses
Progress tracking — reliable save/restore, no data loss on navigation or crashes
Payment integration — enrollment on payment, access revocation on refund
Student data privacy — compliance with FERPA/COPPA/GDPR as applicable
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your Python education platform project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a education platform built with Python?
Yes. We regularly audit Python education platform projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in Python education platforms?
Common issues include django debug mode in production and missing csrf protection on the Python side, combined with education platform-specific concerns like student data privacy and content access control and paywalls. We check for all of these and more.
How do I make my Python education platform production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Python education platform projects, the typical path is: fix security gaps, address education platform-specific requirements, optimize Python performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Python education platform?
Our code audit delivers a full report within 24 hours. For Python education platform projects, we check security, architecture, performance, and deployment readiness across all Python-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Python by Use Case
Need help with your Python education platform?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.