Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.
If you have some Python experience, and you want to take it to the next level, this practical, hands-on Learning Path will be a helpful resource. Video tutorials in this Learning Path will show you how to use Python for distributed task processing, perform large-scale data processing in Spark using the PySpark API, and tackle machine learning tasks with Python.
With a gentle learning curve, Python is readable, writeable, and endlessly powerful. Its simplicity lets you become productive quickly. This Learning Path provides a solid introduction to Python, and then teaches you about algorithms, data modeling, data structures, and other tools that make Python the ideal choice for working with data.
Android Security and Exploitation for Pentesters is a course intended for people who want to get started into Android Security, or even who are a bit familiar with the Android security space but want to learn more about Android Application Security. This is a hands-on course where you will get to reverse applications, find security vulnerabilities, perform debugging and API hooking, use tools like Androguard and Drozer, and a lot more.