Angielski
"An excellent reference for how to secure your Python systems." - Richard Vaughan
No-nonsense techniques, libraries, and best practices you can use to keep your Python applications safe and secure.
Full Stack Python Security: Cryptography, TLS, and attack resistance teaches you everything you''ll need to build secure Python web applications. As you work through the insightful code snippets and engaging examples, you''ll put security standards, best practices, and more into action. Along the way, you''ll get exposure to important libraries and tools in the Python ecosystem.
In Full Stack Python Security: Cryptography, TLS, and attack resistance, you''ll learn how to:
Use algorithms to encrypt, hash, and digitally sign data
Create and install TLS certificates
Implement authentication, authorization, OAuth 2.0, and form validation in Django
Protect a web application with Content Security Policy
Implement Cross Origin Resource Sharing
Protect against common attacks including clickjacking, denial of service attacks, SQL injection, cross-site scripting, and more
about the technology
Successful developers put security at the core of their applications. As a python developer, you need to understand the wide range of security risks you may face and get experience with the libraries, frameworks, and tools you''ll need to protect your systems.
about the book
Full Stack Python Security: Cryptography, TLS, and attack resistance is a hands-on, example-driven guide to securing production Python applications. It''s filled with techniques and best practices that author Dennis Byrne has refined through a career protecting the data of millions from theft and attack.
This jargon-busting guide unravels common security acronyms, simplifies encryption and hashing, and unlocks other key security concepts. You''ll use Python and Django to build secure features including user registration, user authentication, and third party access to protected resources with OAuth 2. As you work through each project, you''ll master Python tools for implementing layers of defense for your applications.
about the reader
For intermediate Python programmers.
about the author
Dennis Byrne is a tech lead for 23andMe, protecting the genetic data and privacy of more than 10 million customers.
