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i-DOCS vs NumPy: What are the differences?
i-DOCS: A leading provider in the specialized market of Enterprise Output Management. It is a leading provider in the specialized market of Enterprise Output Management. i-DOCS develops products and offers services that handle big volumes of sensitive data, automate business processes, deliver multi-channel communications, serve, store, archive data and documents; NumPy: Fundamental package for scientific computing with Python. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
i-DOCS and NumPy can be categorized as "Data Science" tools.
Some of the features offered by i-DOCS are:
- ETL (extract transform load) services
- Third party integration services
- Output management- migration services
On the other hand, NumPy provides the following key features:
- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- tools for integrating C/C++ and Fortran code
NumPy is an open source tool with 15.1K GitHub stars and 4.95K GitHub forks. Here's a link to NumPy's open source repository on GitHub.
Pros of i-DOCS
Pros of NumPy
- Great for data analysis10
- Faster than list4
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What is i-DOCS?
What is NumPy?
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