Meta (previously often known as Fb) goes by way of an enormous transition. CEO Mark Zuckerberg is basically betting his firm’s future on the “metaverse,” an augmented actuality (AR) and digital actuality (VR) ecosystem powered by Meta headsets and {hardware}. On the identical time, the corporate faces important antagonism from rival social media platforms (TikTok, Snap), different tech firms (Apple specifically), and federal legislators.
Earlier this month, a sweeping article in The New York Instances instructed that Meta had undergone an inner and exterior hiring spree, with workers on the corporate’s varied social media properties inspired to snap up spots on the AR and VR groups. Job postings on the corporate web site presently characteristic a whole bunch of AR and VR roles.
However Meta isn’t simply in search of AR and VR expertise. It’s nonetheless an enormous tech firm with a number of divisions and merchandise, which suggests there’s simply as a lot starvation for many who can wrangle databases or keep iOS apps. In keeping with Emsi Burning Glass, which collects and analyzes hundreds of thousands of job postings from throughout the nation, these are the tech expertise that popped up most frequently in Meta/Fb job postings over the previous 90 days:
Primarily based on this checklist, it’s clear that Python is maybe the number-one tech ability to study if you wish to land a job at Meta (except for data of Fb, after all). That’s comprehensible, as Python is an immensely in style generalist programming language with a number of purposes. Python additionally tends to slither its method into extremely specialised industries resembling information science; there’s each likelihood it may turn into an immensely in style language for constructing and sustaining AR/VR environments, as nicely.
If you happen to’re all in favour of studying Python, swing by Python.org for its helpful newbie’s information. Those that are visible learners would possibly decide to review Microsoft’s video sequence, “Python for Freshmen,” which options dozens of quick classes (most underneath 5 minutes in size; none longer than 13 minutes) within the varied elements of Python. As you increase your data, additionally take into account tutorials from Datacamp (whose Introduction to Python course contains 11 movies and 57 workout routines), Udemy (which provides quite a lot of free introduction programs, together with one for “absolute novices”), and Codecademy.