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  2. List of free geology software - Wikipedia

    en.wikipedia.org/wiki/List_of_free_geology_software

    Python library for the manipulation and storage of a wide range of geoscientific data (points, curve, surface, 2D and 3D grids) in geoh5 file format, natively supported by Geoscience ANALYST free 3D viewer Mira Geoscience Ltd. LPGL 3.0 Cross-platform: Python: Documentation and tutorials fully available in ReadTheDocs: geoapps repository [24]

  3. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  4. Wes McKinney - Wikipedia

    en.wikipedia.org/wiki/Wes_McKinney

    Wes McKinney is an American software developer and businessman. He is the creator and "Benevolent Dictator for Life" (BDFL) of the open-source pandas package for data analysis in the Python programming language, and has also authored three versions of the reference book Python for Data Analysis.

  5. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    If data is a Series, then data['a'] returns all values with the index value of a. However, if data is a DataFrame, then data['a'] returns all values in the column(s) named a. To avoid this ambiguity, Pandas supports the syntax data.loc['a'] as an alternative way to filter using the index.

  6. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...

  7. EarSketch - Wikipedia

    en.wikipedia.org/wiki/EarSketch

    An Hour of code tutorial: Hour of code is a worldwide initiative to engage students in computer science, by providing 60 minute-long ludic introduction tutorials (for instance with Minecraft or frozen components). [7] This particular tutorial is an introduction to computer science where students compose their first song with EarSketch.

  8. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    The purpose of the data collection and any (known) data mining projects. How the data will be used. Who will be able to mine the data and use the data and their derivatives. The status of security surrounding access to the data. How collected data can be updated. Data may also be modified so as to become anonymous, so that individuals may not ...

  9. List of crowdsourcing projects - Wikipedia

    en.wikipedia.org/wiki/List_of_crowdsourcing_projects

    iNaturalist is a citizen science website which allows users to contribute observations of organisms with images, start data-collecting projects, and crowdsources taxonomic identification of observations. [60] The Indian rupee sign was developed in 2010, by using crowdsourcing to select its design through an open competition among Indian residents.