Browse skills

FastAPI enables rapid API development with Python’s type hints and modern features, streamlining backend creation for efficiency.

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and suggesting improvements based on best practices.

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and security vulnerabilities.

Automates Python/Django backend code reviews, identifying potential bugs, style issues, and security vulnerabilities.

Helps with Python, patterns as part of developing backend services and APIs workflows.

Helps with Python, patterns as part of developing backend services and APIs workflows.

Helps with Python, testing, patterns as part of developing backend services and APIs workflows.

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and security vulnerabilities for improved quality.

Helps with Python, management, API as part of software development workflows workflows.

Statsmodels provides statistical modeling tools for Python, enabling data analysis and predictive modeling to uncover insights and trends.

Helps with Python, data as part of developing backend services and APIs workflows.

Automates infrastructure provisioning and management using Pulumi's Python SDK for declarative cloud deployments.

Calculates complex mathematical expressions and performs data analysis using Python libraries within backend workflows.

Helps with Python, patterns as part of developing backend services and APIs workflows.

Helps with Python, performance optimization, optimization as part of developing backend services and APIs workflows.

Refactors complex Python/Django backend code into cleaner, more efficient modules based on established best practices.

Identifies and suggests fixes for common coding errors in Python scripts, improving test reliability.

Official aws skill covering AWS, Python for software development workflows.

Automates data pipeline creation, transformation, and validation tasks using Python and cloud services for efficient data management.

Automates Python development environments using Docker containers, streamlining setup and ensuring consistent project builds.

Troubleshoot Python code errors and logic flaws within your backend systems using interactive debugging sessions.

Identifies and suggests fixes for common coding errors in Python scripts using advanced pattern recognition.

Helps with Python, guidelines as part of developing backend services and APIs workflows.

Helps with code review, Python as part of software development workflows workflows.