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PySpark vs SciPy: What are the differences?
What is PySpark? The Python API for Spark. It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
What is SciPy? Scientific Computing Tools for Python. Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
PySpark and SciPy belong to "Data Science Tools" category of the tech stack.
SciPy is an open source tool with 6.13K GitHub stars and 2.9K GitHub forks. Here's a link to SciPy's open source repository on GitHub.
According to the StackShare community, SciPy has a broader approval, being mentioned in 18 company stacks & 21 developers stacks; compared to PySpark, which is listed in 8 company stacks and 6 developer stacks.
What is PySpark?
What is SciPy?
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What tools integrate with PySpark?
What tools integrate with SciPy?
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