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AWS Data Wrangler

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SciPy vs AWS Data Wrangler: What are the differences?

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.

What is AWS Data Wrangler? Move pandas/spark dataframes across AWS services. It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).

SciPy and AWS Data Wrangler can be categorized as "Data Science" tools.

SciPy and AWS Data Wrangler are both open source tools. It seems that SciPy with 6.63K GitHub stars and 3.06K forks on GitHub has more adoption than AWS Data Wrangler with 378 GitHub stars and 35 GitHub forks.

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What is AWS Data Wrangler?

It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).

What is SciPy?

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.

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What companies use AWS Data Wrangler?
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What are some alternatives to AWS Data Wrangler and SciPy?
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