- Master Python with tutorials and tips on CodeStips.
Learn how to detect, fix, and prevent N+1 queries in Django to optimize database performance and avoid hidden slowdowns in your applications.
Learn why avoiding unnecessary data copies in Python boosts performance and memory efficiency, with tips to recognize and prevent them in your code.
Celery enables Python apps to offload long-running tasks like email sending and data processing to background workers, keeping web requests fast and responsive.
Python 3.11, 3.12, and 3.13 each offer unique improvements, making the upgrade decision depend on your project needs. This guide compares key features to help you choose the right version.
Learn how Django caching improves performance by reducing database load and speeding up response times. Explore techniques from per-view to advanced low-level caching.
Optimize Django apps by improving database queries with select_related, reducing redundant lookups, caching results, and using indexes to enhance performance and user experience.
Learn how grid search automates hyperparameter tuning to systematically find the best model settings, boosting performance without manual guesswork.
Learn to identify and fix Python performance bottlenecks to speed up your code and improve efficiency.
Load testing helps Python apps handle real traffic by simulating stress to ensure reliability and performance under pressure.
Optimize DataFrame memory usage to prevent slow performance and crashes when handling large datasets. Learn essential techniques for efficient data analysis.