Securing applications is not the easiest thing to do. An application has many components: server-side logic, client-side logic, data storage, data transportation, API, and more. With all these components to secure, building a secure application can seem really daunting.
Thankfully, most real-life vulnerabilities share the same root causes. And by studying these common vulnerability types, why they happen, and how to spot them, you can learn to prevent them and secure your application.
Today, most companies are using Python for AI and Machine Learning. With predictive analytics and pattern recognition becoming more popular than ever, Python development services are a priority for high-scale enterprises and startups. Python developers are in high-demand — mostly because of what can be achieved with the language. AI programming languages need to be powerful, scalable, and readable. Python code delivers on all three.
While there are other technology stacks available for AI-based projects, Python has turned out to be the best programming language for this purpose. It offers great libraries and frameworks for AI and Machine Learning (ML), as well as computational capabilities, statistical calculations, scientific computing, and much more.
