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esde
training
large data lecture
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Added requirements
· cf0e1da4
Martin Schultz
authored
2 years ago
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· 5cfe7b72
Martin Schultz
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· 4860d02a
Martin Schultz
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@@ -4,7 +4,7 @@
Big data is already a thing from the past again
\[
1
\]
, but that doesn't mean that we should forget what we
learned about managing big data - or, let's call it large data for now. Data transmission, storage and
management are
increasingly seen as
bottlenecks or even roadblocks for simulation science and AI.
However
,
management are bottlenecks or even roadblocks for simulation science and AI.
Furthermore
,
there are also increasingly large experimental facilities and satellites, which produce more data than we
can handle. And you may also think of self-driving vehicles or autonomous robot systems here.
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# requirements: Python libraries needed to run the code examples of this lecture
# Note: this may be incomplete as the lecture has been developed in Jupyter with the standard Python kernel
# provided by Jupyter-JSC.
pprint
requests
numpy
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