_christopher-prohm-pragmatic-ways-of-using-rust-in-your-data-project.jpg "Christopher Prohm: Pragmatic ways of using Rust in your data project from pandas numpy Video Screenshot Preview")
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⏲ Duration: 18 min 12 sec
✓ Published: 19-Apr-2023
✓ Published: 19-Apr-2023
Description:
Writing efficient data pipelines in Python can be tricky. The standard recommendation is to use vectorized functions implemented in Numpy, Pandas, or the like. However, what to do, when the processing task does not fit these libraries? Using plain Python for processing can result in lacking performance, in particular when handling large data sets.nnRust is a modern, performance-oriented programming language that is already widely used by the Python community. Augmenting data processing steps wit
Writing efficient data pipelines in Python can be tricky. The standard recommendation is to use vectorized functions implemented in Numpy, Pandas, or the like. However, what to do, when the processing task does not fit these libraries? Using plain Python for processing can result in lacking performance, in particular when handling large data sets.nnRust is a modern, performance-oriented programming language that is already widely used by the Python community. Augmenting data processing steps wit
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