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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.

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    - No public GitHub repository available -

    What is Data Miner?

    It is a Google Chrome extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet.

    What is NumPy?

    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.

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    What are some alternatives to Data Miner and NumPy?
    TensorFlow
    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
    Pandas
    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
    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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    Anaconda
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