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NumPy vs Data Miner: What are the differences?
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; Data Miner: Extract Data From any Website in Seconds. It is a Google Chrome extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet.
NumPy and Data Miner can be primarily classified as "Data Science" tools.
Some of the features offered by NumPy are:
- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- tools for integrating C/C++ and Fortran code
On the other hand, Data Miner provides the following key features:
- Scrape with one click
- No coding
- No bots
NumPy is an open source tool with 11.8K GitHub stars and 3.86K GitHub forks. Here's a link to NumPy's open source repository on GitHub.
Pros of Data Miner
Pros of NumPy
- Great for data analysis10
- Faster than list4
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What is Data Miner?
What is NumPy?
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