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As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...
It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for parallel ...
“Python gives you enough of an understanding of computing basics without needing you to be an expert in memory, like in C++,” said Elena Escalas, a third-year computer science student.
NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.
Python is increasingly used in high-performance computing projects. It can be used either as a high-level interface to existing HPC applications and libraries, as embedded interpreter, or directly.
That’s where the concept of intermittent computing comes into play, and now thanks to the BFree project, you can develop Python software that persists even when the hardware goes black.
Python has become the default language of solving complex data problems due to its ease of use, plethora of domain-specific software libraries, and stellar community and ecosystem. All of these things ...
Measurement Computing Corporation (MCC) today announced the release of Python support for MCC DAQ devices. Python is a powerful object-oriented progra ...