Secure Python Code: Writing Safe and Resilient Applications
Protect Your Python Applications from Common Security Pitfalls
Master Python security with practical techniques for building resilient applications. Learn secure coding, input validation, cryptography, and deployment strategies to protect against threats.
About This Book
Quick Overview
Master Python security with practical techniques for building resilient applications. Learn secure coding, input validation, cryptography, and deployment strategies to protect against threats.
Key Topics Covered
- Secure coding principles
- Input validation and sanitization
- File and data handling security
- Authentication and authorization systems
- Cryptography implementation
- Flask and Django security
- Dependency management
- Logging and error handling
- Security testing and code analysis
- API security
- Production deployment security
- Real-world incident analysis
- Security tools and automation
Who Should Read This Book
Python developers seeking security knowledge, Security professionals learning Python, Team leads responsible for application security, DevOps engineers deploying Python applications, Full-stack developers using Python frameworks, Software architects designing secure systems, QA engineers focusing on security testing, Anyone building production Python applications
Prerequisites
Python programming experience, Basic understanding of web development concepts, Familiarity with command-line interfaces, General knowledge of software development practices
Table of Contents
About This Publication
**Secure Python Code: Writing Safe and Resilient Applications** is a comprehensive security guide specifically designed for Python developers who need to build secure applications in production environments. This book addresses the unique security challenges and opportunities within the Python ecosystem, providing practical solutions that developers can implement immediately. Readers will master essential security concepts through hands-on Python examples, learning to identify and prevent common vulnerabilities while building robust, secure applications. The book covers everything from basic input validation to advanced cryptographic implementations, secure web development frameworks, and production deployment strategies. Through detailed code examples, real-world case studies, and practical exercises, readers will develop the security mindset necessary to write Python code that stands resilient against both current threats and emerging attack vectors. The book includes comprehensive appendices with ready-to-use checklists, configuration templates, and security tools specifically curated for Python developers. By the end of this book, readers will have the knowledge and practical skills to implement comprehensive security measures throughout the entire Python application lifecycle, from initial development through production deployment and maintenance.
Book Details
- Format
- File Size
- 2.2 MB
- Chapters
- 12
- Code Examples
- 99
- Exercises
- 99
- Difficulty Level
- beginner
- Reading Time
- 18-24
Special Features
• Hands-on Python code examples for every security concept covered • Real-world case studies of Python security incidents and lessons learned • Comprehensive appendices with secure coding checklists and configuration templates • Framework-specific security guidance for Flask and Django applications • Step-by-step implementation guides for authentication and cryptographic systems • Practical security testing methodologies using Python-specific tools • Production deployment strategies that maintain security without sacrificing performance • Detailed coverage of dependency management and supply chain security • Advanced topics including secure API design and threat modeling for Python applications • Ready-to-use security headers configuration and best practices reference
Related Books in Python
Popular Technical Articles & Tutorials
Explore our comprehensive collection of technical articles, programming tutorials, and IT guides written by industry experts: