What are the most common mistakes beginners make in Full Stack Python?

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Here’s a concise response (under 1500 characters) outlining the most common mistakes beginners make in Full Stack Python:

Common Mistakes Beginners Make in Full Stack Python

1. Skipping Fundamentals: Many dive into frameworks (like Django or Flask) without mastering core Python, leading to weak problem-solving and debugging skills.

2. Ignoring Frontend Skills: Full stack means knowing both ends. Some beginners neglect HTML, CSS, and JavaScript, resulting in poor UI/UX integration and front-back miscommunication.

3. Poor Project Structure: Beginners often create messy codebases without separating concerns (models, views, templates), which makes scaling and maintenance difficult.

4. Not Using Virtual Environments: This leads to dependency conflicts and version issues across projects.

5. Neglecting Database Design: Rushing into ORM (e.g., Django’s models) without understanding relational databases or normalization often results in inefficient data handling.

6. Avoiding Version Control: Not using Git from the start can cause loss of work and poor collaboration readiness.

7. Lack of Testing: Beginners often skip writing tests, which results in fragile code and fear of changes.

8. Security Oversights: Ignoring input validation, authentication, or secure deployment (like HTTPS) can lead to serious vulnerabilities.

9. Overengineering Early Projects: Trying to use microservices or complex architectures too early creates unnecessary confusion and burnout.

10. Not Reading Documentation: Relying solely on tutorials without consulting official docs limits deeper understanding.

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