NumPy Basics
Work with fast numerical arrays using NumPy for data and scientific computing.
Work with fast numerical arrays using NumPy for data and scientific computing.
Analyze tabular data with pandas DataFrames: filter, group, and summarize.
Create charts and plots with Matplotlib to visualize data clearly.
Build powerful APIs with serializers, viewsets, and routers using DRF.
Design REST endpoints that return JSON with correct HTTP status codes.
Protect APIs with JSON Web Tokens for stateless authentication.
Accept uploaded files in Flask/Django and store them safely on disk.
Send transactional emails with smtplib or framework email helpers.
Render HTML with Django’s template language, inheritance, and context variables.