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  2. SciPy - Wikipedia

    en.wikipedia.org/wiki/SciPy

    SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy 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.

  3. pandas (software) - Wikipedia

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

    By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.

  4. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

  5. Replit - Wikipedia

    en.wikipedia.org/wiki/Replit

    Replit allows for the pulling of code from a GitHub repository and linking Repls to GitHub repositories. [24] Some Repls also have debugger and unit testing support. Replit uses the Debugger Adapter Protocol to provide debugging services in Java , Python , Node.js , and C++ for all users connected to a Repl. [ 25 ] Replit has zero-setup unit ...

  6. 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 ...

  7. Export your AOL Desktop Gold data to another computer

    help.aol.com/articles/export-your-aol-desktop...

    Use a removable USB flash drive to transfer the file onto another computer. Sign in to Desktop Gold on the second computer. Click the Settings icon. While in General settings, click the My Data tab. Click Import. Select the file you moved over using the USB flash drive. If prompted, enter the password you created for this export file.

  8. Dependency injection - Wikipedia

    en.wikipedia.org/wiki/Dependency_injection

    For example, dependency injection can be used to externalize a system's configuration details into configuration files, allowing the system to be reconfigured without recompilation. Separate configurations can be written for different situations that require different implementations of components.

  9. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    Run WikiTaxi_Importer.exe to import the database dump into a WikiTaxi database. The importer takes care to uncompress the dump as it imports, so make sure to save your drive space and do not uncompress beforehand. When the import is finished, start up WikiTaxi.exe and open the generated database file.