Python Security Best Practices
Secure Python apps with secrets management, input validation, and safe dependency habits.
Secure Python apps with secrets management, input validation, and safe dependency habits.
Practice common Python interview questions on language basics, OOP, and web/data topics.
Capstone: build a complete Python web app with auth, CRUD, and a small REST API.
Extract data from web pages using requests and Beautiful Soup (respect robots/ToS).
Automate repetitive tasks: file renaming, reports, reminders, and scheduled scripts.
Read and write Excel spreadsheets with openpyxl or pandas.
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.
Design REST endpoints that return JSON with correct HTTP status codes.