Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...
Google Colab is useful for anyone exploring Python, data science, or machine learning without a powerful computer. Students and beginners can use Colab to explore Python and data science directly in ...
In this video from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. We will introduce Numba and RAPIDS for GPU programming in Python.
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Google fuses SQL, Python, and Spark in Colab Enterprise push
Move comes as Snowflake and Databricks chase the same all-in-one analytics dream Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...
AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...
Developers code for a living and that means a whole lot of time on laptops writing. So when they're coding, they could benefit from something like Google's AI-generated Smart Compose suggestions in ...
Brendan Burns, distinguished engineer at Microsoft, unveils his proposal for software libraries that could make it easier to deploy cloud apps at KubeCon 2017. (GeekWire Photo / Tom Krazit) Writing ...
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