Simulators, such as digital twins, which allow developers to speed up the development of AI systems, along with the reinforcement learning libraries that integrate with them (The RL library that's part of RISELab's Ray is a great example.) Developer tools for building AI applications that can process multimodal inputs Tools that target developers who aren't data engineers or data scientists
A software security engineer has identified 12 Python libraries uploaded on the official Python Package Index (PyPI) that contained malicious code. The 12 packages have been discovered in two separate scans by a security engineer who goes online by the name of Bertus, and have long been removed from PyPI before this article's publication. All packages were put together and worked following a similar pattern. Their creator(s) copied the code of popular packages and created a new library, but with a slightly modified name. For example, four packages (diango, djago, dajngo, djanga) were misspellings of Django, the name of a very popular Python framework.
Knowing which programming language will best meet your needs can be daunting for new developers. To shed light on this question, developer hubs such as Stack Overflow and GitHub release data on the most popular languages on their platforms. Below are the programming languages that have topped the biggest developer surveys / round-ups in 2018. Here's what you need to know about each language, the jobs that require them and how to get started learning. What is it used for?