Does Meta use Python?

Yes, Meta (formerly Facebook) uses Python for various purposes across different teams and projects. Python is particularly valuable for tasks that require quick prototyping, automation, data analysis, and machine learning.

Common Uses of Python at Meta:

1. Data Science and Machine Learning: Python is widely used at Meta for tasks related to data analysis, machine learning, and AI development. Tools like PyTorch, which is an open-source machine learning framework developed by Meta, are built in Python.

2. Automation and Scripting: Python is used internally to automate repetitive tasks and build internal tools. Python's simplicity and powerful libraries make it ideal for writing scripts that streamline development and deployment workflows.

3. Back-End Development: While Meta primarily relies on languages like Hack (a dialect of PHP) and C++ for its core systems, Python is still used in backend development for certain microservices and tools that don't require extreme optimization or are primarily focused on managing data.

4. Infrastructure and Tooling: Python is also used for infrastructure management and tooling within the company, particularly for server management, monitoring, and data handling.

Sources:

• Python at Facebook
• Meta Engineering Blog

In summary, Python plays an important role at Meta, especially in data science, machine learning, and internal tooling.