Free developer tools, coding courses, and computing resources every CS and data science student should activate.
Over $200k worth of free tools — GitHub Pro, Copilot, cloud credits, domains, and more.
💡 Pro tip: Apply with your @nyu.edu email — approval is usually instant for .edu addresses.
Free licenses for IntelliJ, PyCharm, WebStorm, and all JetBrains IDEs — professional-grade tools.
💡 Pro tip: PyCharm Professional is amazing for Python/data science work — much better than the free Community edition.
Interactive courses in Python, R, SQL, and machine learning with hands-on coding exercises.
💡 Pro tip: Complete the 'Data Scientist with Python' track — it covers everything employers look for.
Every O'Reilly tech book plus video courses — free through NYU. Normally $499/year.
💡 Pro tip: Search for the specific technology you're learning — O'Reilly books are industry standard.
32,000+ CPU cores and 332 GPUs for free — run ML training, simulations, and big data jobs.
💡 Pro tip: Ask your professor to sponsor your HPC account — it takes about a day to set up.