{ "info": { "author": "Niels Henrik Bruun", "author_email": "niels.henrik.bruun@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: End Users/Desktop", "Intended Audience :: Science/Research", "License :: OSI Approved :: Python Software Foundation License", "Programming Language :: Python", "Topic :: Education", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Utilities" ], "description": "############################\ndecimalpy - long description\n############################\n\nIn financial calculations it is recommended to use Decimal as a numerical base.\nAt the same time there is a need to have the same functionality as in `numpy `_ or `R `_.\nSo the goal of this package is to fill this gap, i.e. implementing Decimal based\nstructures to ease eg. financial calculations. \n\nIn the creation of the `finance `_ package. it was decided to use Decimal\nbased structures.\n\nThere were 2 reasons for this:\n\n#. In finance decimals matters and when other financial systems use the IEEE\n standard 854-1987 the package finance need to do the same\n#. For valuation purposes it is important that the financial calculations are\n the exact same as those performed in eg spreadsheets who use the IEEE\n standard 854-1987 \n\n`See also the chapter that examplifies the reasons for this. `_.\n\nAfter a while it was clear that there were a lot of code with a life or purpose of\nits own. And that was how the decimalpy package was born.\n\nThe Package `decimalpy `_ is inspired by `numpy `_ and eg the vector concept of `The R package `_.\nThe key difference from numpy is that in decimalpy the only number type is\ndecimal.\n\nThe Package contains:\n\n* An n-dimensional array of decimals, a decimalvector\n* An n-dimensional array of decimals where the keys can be of a specific\n type and not just integers as in a decimalvector, a\n SortedKeysDecimalValuedDict\n* A decorator decimalvector_function that converts a simpel function into a\n function that given a decimalvector as an argument returns a decimalvector\n of function values. This makes it fairly easy to extend the number of\n decimalvector functions. Also decimalvector functions makes it fairly easy\n to use other packages like eg matplotlib\n* A set of decimalvector (typically financial) functions\n* Meta functions (functions on functions) for numerical first\n (NumericalFirstOrder) and second (NumericalSecondOrder) order differention\n* A meta function for finding the inverse value of a function\n\nThe package will be extended in order to support the needs in the package\n`finance `_ .\n\nThe decimal package is open source under the `Python Software Foundation\nLicense `_\n\nHow to install\n--------------\n\nJust run setup.py install command. Or in windows use the windows installer.\n\nDocumentation, etc\n------------------\n\nVisit my `homepage `_ to see more on how \nto use and the research behind the code. It's a blog like place on finance, math \nand scientific computing.\n\n######################\nPlanned added contents\n######################\n\nThe planned development so far is:\n\nPlanned added content of version 0.2:\n Implementation of matrix and more decimalbased functions\n \nPlanned added content of version 0.3:\n Implementation af a statistical test package", "description_content_type": null, "docs_url": null, "download_url": "http://pypi.python.org/pypi/decimalpy", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://www.bruunisejs.dk/PythonHacks/", "keywords": null, "license": "http://www.opensource.org/licenses/PythonSoftFoundation.php", "maintainer": null, "maintainer_email": null, "name": "decimalpy", "package_url": "https://pypi.org/project/decimalpy/", "platform": "Operating System :: OS Independent", "project_url": "https://pypi.org/project/decimalpy/", "project_urls": { "Download": "http://pypi.python.org/pypi/decimalpy", "Homepage": "http://www.bruunisejs.dk/PythonHacks/" }, "release_url": "https://pypi.org/project/decimalpy/0.101/", "requires_dist": null, "requires_python": null, "summary": "decimalpy - A Decimal based version of numpy", "version": "0.101" }, "last_serial": 788870, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "7922619ad7bc2f3dcf8d2db1d7f1fb62", "sha256": "66439c432167f630c2fc82254da25123987ac4bf050812902b0bbd38c9397bd5" }, "downloads": -1, "filename": "decimalpy-0.1.tar.gz", "has_sig": false, "md5_digest": "7922619ad7bc2f3dcf8d2db1d7f1fb62", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 19113, "upload_time": "2013-03-26T20:38:19", "url": "https://files.pythonhosted.org/packages/c4/86/aee615027f452a03292d80f478c57f84794c072d7047f0935f354fb41dd8/decimalpy-0.1.tar.gz" } ], "0.101": [ { "comment_text": "", "digests": { "md5": "16aa2092a6451f2876593aadc0ab9b38", "sha256": "89afde12443e5290958da97ba369286b0c44562d98af56efae17025785bc9fca" }, "downloads": -1, "filename": "decimalpy-0.101.tar.gz", "has_sig": false, "md5_digest": "16aa2092a6451f2876593aadc0ab9b38", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 26644, "upload_time": "2013-06-22T19:45:19", "url": "https://files.pythonhosted.org/packages/db/4a/c70dd01d793c6bd7b943b6b72b31bf84b22f31576fe5787bcb8ebe0dbbba/decimalpy-0.101.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "16aa2092a6451f2876593aadc0ab9b38", "sha256": "89afde12443e5290958da97ba369286b0c44562d98af56efae17025785bc9fca" }, "downloads": -1, "filename": "decimalpy-0.101.tar.gz", "has_sig": false, "md5_digest": "16aa2092a6451f2876593aadc0ab9b38", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 26644, "upload_time": "2013-06-22T19:45:19", "url": "https://files.pythonhosted.org/packages/db/4a/c70dd01d793c6bd7b943b6b72b31bf84b22f31576fe5787bcb8ebe0dbbba/decimalpy-0.101.tar.gz" } ] }