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Linkedin - Secure Coding in Python (2024) - OneDDL - 12-20-2024
![[Image: 921257896c879e7f45eaad87516d4b03.jpeg]](https://i124.fastpic.org/big/2024/1220/03/921257896c879e7f45eaad87516d4b03.jpeg)
Free Download Linkedin - Secure Coding in Python (2024)
Released: 12/2024
Duration: 1h 36m | .MP4 1280x720, 30 fps® | AAC, 48000 Hz, 2ch | 219 MB
Level: Advanced | Genre: eLearning | Language: English
Learn how to develop more secure Python applications. In this course, targeted uniquely at advanced Python users, instructor Ronnie Sheer reviews the most common vulnerabilities in Python apps and explains how to set up a coding environment that helps you develop code with security in mind. Learn how to avoid common pitfalls associated with loose typing and assertions and find out how to deserialize Pickle data. Then explore the security features-such as code generation and secrets management-in Django, a popular Python framework. Ronnie also explains how to secure a RESTful API in Django using permissions, data serialization, and automated testing. By the end of this course, you'll also be equipped with practical tips and strategies for securing applications written with Flask, the powerful micro web framework.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started.
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