Saravanan666/pypi-org huggingface dataset:
Package: mathdeck
Mathdeck is a program suite for managing the computations involved in
writing, displaying, and grading mathematical based homework
problems. It is written to abstract away computations so that other
responsibilities such as managing users and grades can be left to more
apt systems such as online course management systems.Intended featuresTool suite and standard spec for writing homework problems.A system for displaying problem files.A system for measuring how close a proposed solution is to a predefined
solution and offering suggestions for improvement to lead a student in
the right direction.Programming GoalsClear developer API.Clear and comprehensive documentation.Comprehensive test suite.Creating problems should be as easy as possible for people who
are mathematically inclined and would be able to pick up the basics of
python in a couple days.Python 2.7+ and 3+ supportSupportSource files are hosted onGithubandPyPI.Documentation source files are found in thedocs/folder within the source. Compiled documentation files are hosted onRead the Docs.Issues are hosted onGithub Issues.Discussion is onGoogle Groups.RequirementsPython 2.7+Sympy 0.7.5+ (for writing and checking problems)Jinja2 2.7.3+ (for displaying problems)For developersIt’s recommended you first use the python package “virtualenv” to create a
separate virtual environment before installing. To install mathcheck for
development purposes runpython setup.py developin the command line in
the root of the project folder (the folder with setup.py). To run the tests runpython -m unnittest discover(requires python 2.7+) in the root folder.About the nameMathdeck is short for math display and check, the program’s two main functions.LicenseMathdeck is licensed under the BSD 3-Clause license. See LICENSE file for more
details.
Package: math-dioproject
Calculadora_DioProjectDescription:
The package math_dioproject is used to:- Solve algorithms problems
- Check if a number is prime
- Check if the input result in a square or rectangleInstallationUse the package managerpipto install math_dioprojectpipinstallmath_dioprojectUsagefrommath_dioproject.basicfunctionsimportsimplesassfrommath_dioproject.basicfunctionsimportcomplexascfrommath_dioproject.verificadorimportverifierasvs.soma(3,5)#Print the result of 3+5s.divi(3,5)#Print the result of 3/5s.mult(3,5)#Print the result of 3*5s.sub(3,5)#Print the result of 3-5c.expo(3,2)#Print the result of 3^2c.raiz(9)#Print the result of 9 square rootv.primo(27)#Print if the number is prime or notv.quadrado(4,4,4,4)#Print if the input result in a squarev.retangulo(9,9,5,5)#Print if the input result in a rectangleAuthorMarco CrippaLicenseMIT LicenseCopyright (c) 2022 Marco CrippaPermission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Package: mathdom
MathDOM - Content MathML in PythonMathDOMis a set of Python 2.4 modules (usingPyXMLorlxml, andpyparsing) that import mathematical terms as aContent MathMLDOM. It currently parses MathML and literal infix terms into a DOM
document and writes out MathML and literal infix/prefix/postfix/Python
terms. The DOM elements are enhanced by domain specific methods that
make using the DOM a little easier. Implementations based on PyXML and
lxml/libxml2 are available.You can call it the shortest way between different term
representations and a Content MathML DOM. Ever noticed the annoying
differences between terms in different programming languages? Build
your application around MathDOM and stop caring about the term
representation that users prefer or that your machine can execute. If
you need a different representation, add a converter, but don’t change
the model of your application. Literal terms are connected through an
intermediate AST step that makes writing converters for
SQL/Java/Lisp/your-favouriteeasy.New in version 0.8:works with (and requires) lxml 2.0 or laterNew in version 0.7.2:works with (and requires) lxml 1.3 or laterNew in version 0.7.1:bug fix for operator qualifiersNew in version 0.7:works with lxml 0.9 out-of-the-boxNew in version 0.6.7:added missing ‘%’ operator (modulo)adapted to updated lxml APINew in version 0.6.6:closer APIs of mathdom and lmathdomconvenience functions to portably create apply, ci and cn elementsNew in version 0.6.5:XSLT extension function to include literal terms in outputbug fix in Python term serializerNew in version 0.6.4:Updated setup.py script to use setuptools if availableSupport for splitting package into two PyXML and lxml dependent packagesNow builds patched lxml during installNew in version 0.6.3.1:Fixes a number of bugs in mathdom and lmathdom modulesNew in version 0.6.2:Generalized parser frameworkPython term parserNew in version 0.6.1:integration of thePyMathMLrenderer (untested!)more generic integration of XSLT scriptsNew in version 0.6:RelaxNG validation (lxml)Presentation MathML export (based on XSLT/lxml)stricter spec conformance (encloses MathML output in <math> tag
Package: mathemagic
A Module containing a lot of general and commonly used mathematical functions written in Python.Key FeaturesCommonly used and required mathematics operation in your finger tips.Many new functions are being added regularly.Proper error handling.Easy to use.Optimised in both speed and memory.InstallingPython 3.x is recommended, but you can also install it on python2.xTo install the module, you can just run the following command:# Linux/macOS (Replace python3 with python to install for python2.x)python3-mpipinstall-Umathematics# Windowspipinstall-UmathematicsTo install the development version, do the following:$gitclonehttps://github.com/FireHead90544/mathemagic$cdmathemagic$python3-mpipinstall-U.Quick Exampleimportmathemagicmathemagic.pi(4)# Returns 3.1415, the value of pi till 4 digits after decimal.mathemagic.even(140)# Returns True, as 140 is an even number.mathemagic.calculate("100 + 200 - 150")# Returns 150, tries calculating the expression given.mathemagic.factorial(5)# Returns 120 as 5! = 120, returns the factorial of a given number.mathemagic.prime(20)# Returns False, as 20 is not a prime number, returns True/False based upon the number is prime or not.You can find more examples in the documentation.LinksDocumentationOfficial Discord ServerAuthor’s PortfolioREADME.rst template taken from discord.py’s README.rst
Package: mathematical
Mathematical tools for Python 📐 🐍 🛠️Includes tools for calculating mean, median and standard deviation of rows in data frames, detection of outliers, and statistical calculationsDocsTestsPyPIAnacondaActivityQAOtherInstallationmathematicalcan be installed from PyPI or Anaconda.To install withpip:$python-mpipinstallmathematicalTo install withconda:First add the required channels$condaconfig--addchannelshttps://conda.anaconda.org/conda-forge$condaconfig--addchannelshttps://conda.anaconda.org/domdfcodingThen install$condainstallmathematical
Package: mathematics-dataset
A synthetic dataset of school-level mathematics questions.This dataset code generates mathematical question and answer pairs, from a range
of question types (such as in arithmetic, algebra, probability, etc), at roughly
school-level difficulty. This is designed to test the mathematical learning and
reasoning skills of learning models.Original paper: Analysing Mathematical Reasoning Abilities of Neural Models
(Saxton, Grefenstette, Hill, Kohli) (https://openreview.net/pdf?id=H1gR5iR5FX).
Package: mathena
mathenaA python library that eases mathsInstallpipinstallmathenafunctionscubebrootimportmathenaprint(mathena.cuberoot(27))prime factorizationimportmathenaprint(mathena.prime_factorization(27))is a perfect squareimportmathenaprint(mathena.is_perfect_square(4))is a perfect cubeimportmathenaprint(mathena.is_perfect_cube(27))
Package: mathenjeu
mathenjeuWeb application to retrieve answers to questions asked to students.
Easy and light way to ask for informations.
Some content are in French. Relies onstarlette,uvicorn,hypercorn.GitHub/mathenjeudocumentationBlogHistorycurrent - 2020-11-19 - 0.00Mb3: add notebook with anonymized data from the QCM (2019-01-13)0.1.29 - 2018-12-17 - 0.37Mb10: talk about warnings (2018-09-23)6: remove double entries in index (website) (2018-09-23)9: move pandas_groupby_nan to pandas_streaming (2018-05-17)8: talk about protobuf (2018-04-21)7: talk about serialization (2018-04-20)5: fix .. only:: html in readme.rst (2018-03-29)2: finish the migration of latex (2017-06-10)1: completed completion (2016-09-25)
Package: matheo
# matheoMatheo is a python package with mathematical algorithms for use in earth observation data and tools.## Installationmatheo is installable via pip.## DocumentationFor more information visit our [documentation](https://matheo.readthedocs.io/en/latest).## Licensematheo is free software licensed under the
[GNU Public License (v3)](./LICENSE).## Acknowledgementsmatheo was written by Sam Hunt, Mattea Goalen, Maddie Stedman, Pieter De Vis.The development has been funded by:The UK’s Department for Business, Energy and Industrial Strategy’s (BEIS) National Measurement System (NMS) programmeThe IDEAS-QA4EO project funded by the European Space Agency.## Project statusmatheo is under active development. It is beta software.
Package: mathesis
MathesisMathesisis a human-friendly Python library for computational formal logic (including mathematical, symbolic, philosophical logic), formal semantics, and theorem proving.
It is particularly well-suited for:Students learning logic and educators teaching itResearchers in fields like logic, philosophy, linguistics, computer science, and many othersDocumentation:https://mathesis.readthedocs.io/InstallationpipinstallmathesisKey featuresInteractive theorem proving for humans (proof assistant)Automated reasoning (theorem prover)Define models and check validity of inferences in the modelsJupyterLab/Jupyter Notebook supportOutput formulas/proofs in LaTeXCustomizable ASCII/Unicode syntax (likeA -> B,A → B,A ⊃ Bfor the conditional)Supported logicsPropositional logicsClassical propositional logic:Truth table, Tableau, Sequent calculusMany-valued logics:Truth tableIntuitionistic logic:Sequent calculusIn ProgressModal logicsFuzzy logicsSubstructural logicsEpistemic, doxastic, deontic logicsTemporal logicsFirst-order logics (quantified, predicate logics)Classical first-order logic:Tableau, Set-theoretic modelIn ProgressMany-valued logicsModal logicsIntuitionistic logicFuzzy logicsSubstructural logicsHigher-order logicsDevelopment statusProof theoriesTableaux(semantic tableaux, analytic tableaux)Unsigned tableauxSigned tableauxHilbert systemsHilbert systemsNatural deductionGeneric natural deductionGentzen-style natural deduction (Output)Fitch-style natural deductionSequent calculi(Gentzen-style sequent calculi)Two-sided sequent calculiHilbert systems in sequent calculusNatural deduction in sequent calculusSemanticsTruth tablesSet-theoretic modelsPossible world semantics (Kripke semantics)Algebraic semanticsGame-theoretic semanticsCategory-theoretic semanticsInternalsParsing withlarkTrees withanytreeTodosAdd testsHilbert systemsNatural deductionBoolean algebraType theoryMetatheoremsOutput graphical representations of modelsSupport tptp syntax
Package: matheUI-backend
MatheUI-2.0little funny gamesset-up packageinstall the package to your activated virtual environmentpip install matheUI-backendNow you can use the package. e.g.:from matheUI_backend import AgentUndercover

auc = AgentUndercover()
auc.generate_round(player_number=7, spy_number=2, places_groups="standard")--> in the 'examples' folder you can find notebooks with code snippets that explain the usage of the package
Package: math-eval
math_evalSafe evaluation of strings as math expressionsFeaturesWritten entirely in Python.Read strings representing math expressions or functions of any number of variables, and return a scalar or function as appropriate.Supports all logical and arithmetic operators, as well as arbitrary functions of one or two variables.Easy to add new functions of one or two variables.safe_compute adds an extra layer of safety by creating functions that refuse non-numeric inputs.Equation class that can be extended independently of compute() and safe_compute().How to useInstall Python 3.6 or newer.Install# or PyPIpipinstallmath_evalUse in situations where you need safe evaluation of strings as math expressions>>>frommath_evalimportcompute,safe_compute>>>fun=safe_compute("x*y")>>>fun('a',3)Traceback(mostrecentcalllast):...ValueError:Functionsproducedbycompute()withsafe=Truedonotacceptnon-numericarguments.>>>fun(3.4,3)10.2>>>fun2=compute("str(z) + x*y")>>>fun2('a',3,3.5)'3.5aaa'>>>print(fun2.__doc__)str(z)+x*yArgsarepositional-onlyintheorder['x','y','z'].>>>compute("(3*4.5**2 >= 17) | 1/-5 == 3")TrueWARNINGsafe_compute()isnotsafe if arbitrary ufunctions are added, andcompute()is probably unsafe in countless ways I haven't thought of as it is.For instance, if thechrandevalufunctions were introduced, evensafe_compute()could be used to evaluate artibrary Python expressions by translating integers into strings, and evaluating those strings with the normal Python interpreter.I (Mark J. Olson) amnotknowledgeable about computer security, so think carefully about possible workarounds for safe_compute's safety features before deploying it in a safety-sensitive setting.ContributingBe sure to read the [contribution guidelines](https://github.com/molsonkiko/math_eval/blob/main/CONTRIBUTING.md).More informationTODO: add something to show test coverage of code (Coverage URL does not exist)
Package: math-evaluator
Math EvaluatorA package that evaluates a mathematical expression given as a string.By default it acceptsoperandsints andfloatsoperatorsunary+-,binary+-*/andparantheses()Getting StartedGetting your first application running is super easy.pipinstallmath_evaluator"""A small CLI application that endlessly takes user input and evaluates it as a mathematical expression"""frommath_evaluatorimportcalcwhileTrue:# this will raise a SyntaxError if the expression is syntactically incorrect# normally you should always catch that Exceptionexpression=input(">>> ")print(calc(expression))CustomizationThe above usage is the simplest and suffices most of the time. Anyways, Math Evaluator is built to be customized by you. It internally uses the Python parser however, so it's abilities cannot be changed fundamentally. For example operator assoziativity or how parentheses work cannot be altered.This package consists of two main modules.implicitand.explicit. However, most applications will only need to use one of them..implicitChecks if the expression is a valid mathematical expression and thenevals it. This makes it totally safe to use - even when exposed to potencially malicious users..implicitexampleWe might want to extend the calculator to allow powers (**is the corresponding operator). To do that we can reach intomath_evaluator.implicitand addastoperations to the valid operationsimportastfrommath_evaluator.implicitimportcalc,valid_opsvalid_ops.add(ast.Pow)assertcalc("4**3")==4**3You can not only change the valid operations but also the allowed operands. We could for example addcomplexnumbersfrommath_evaluator.implicitimportcalc,allowed_typesallowed_types.add(complex)assertcalc("3*5j")==15j.explicitExplicitly evaluates the expression. This allows you to modify the semantics..explicitexampleIn many other programming languages5 ^ 4is the same as5*5*5*5 = 625. In Python however,^is the bitwise xor operator and5 ^ 4evaluates to1. Now we will redefine^to mean the same as**by reaching into the.explicitmodule:importastimportoperatorfrommath_evaluator.explicitimportcalc,op_mapop_map[ast.BitXor]=operator.__pow__assertcalc("5^4")==625math_parserexports.explicit.calcby default.Further customizationIf you want to change the fundamental syntax or semantics, you can file an issue. Then I will try my best at weighingcost vs gain. If I deem your feature request as "unworthy", that should not stop you from forking this project and extending it on your own. I am available for any questions you might have.
Package: mathex
Mathematical Expressions for PythonMathematical Expressions for PythonWhat is Mathex?How to use?What is Mathex?Mathematical Expressions (or Mathex for short) is a package for Python that evaluates mathematical expressions from strings at runtime according toMathex Specification. It aims to provide fast, easy, customizable and, most importantly, safe evaluation with no dependencies.The package is compatible with Python 3.7+.How to use?Using Mathex is super easy - just import, initialize and evaluate. That's it.frommatheximportMathex,default_flags# Use `Config` class and `DefaultFlags` to get default settings.# For what settings are available, check out documentation.config=Mathex(default_flags)# Config class contains your settings along with custom# variables and functions you inserted.x=1.5config.add_constant("x",x)# These variables and functions are then available for users# to use in expressions.input="2x + 5"# Mathex returns error and result of evaluation as a tuple.result,error=config.evaluate(input)# If error is None, evaluation completed without errorsifnoterror:print(f"{input}is{result}")# Outputs `2x + 5 is 8`Don't forget to install Mathex using pip:python-mpipinstallmathex
Package: mathexpand
math-expand Package这个包是对Python原生的Math包进行的拓展，但也会提供其他功能的拓展。目前提供的方法如下：digitstake_digits(number, return_type) → list/dict方法用途取一个数的每一位数方法解析参数解析number要取每一位数的数return_type指定返回值的类型默认为l，有l（返回列表）,和d（返回字典）两种形式，其余值会导致输出一条错误信息，并返回列表。返回值由return_type参数决定返回值list这个列表里包含了这个数从高到低每个数位的数字dict这个字典的键是一个个计数单位，每个键对应的值便是当前键表示的计数单位上的值tracebacktraceback_print(file, line, module, lineread, bs, Error, Errorread, other)方法用途模拟traceback返回值无
Package: math-factors
A new library to handle all sorts of mathematical factors of a number.
From finding sum of factors to finding prime factors. Number of built-in functions added for the library are:
nfact() -> Finding the number of factors for the given number. Returns 'None' if there's no factor for the number else returns the number of factors.
sfact() -> Finding the sum of factors for the given number. Returns -1 if there's no factor for the number else returns the sum of factors.
fact() -> Gives the list of factors for the given number, returns -1 if there's no factor for the number.
efact() -> Gives the list of even factors for the given number, returns -1 if there's no factor for the number.
ofact() -> Gives the list of odd factors for the given number, returns -1 if there's no factor for the number.
pfact() -> Gives the list of prime factors for the given number, returns -1 if there's no factor for the number.
sum_efact() -> Returns the sum of even factors for the given number, returns -1 if there's no factor for the number.
sum_ofact() -> Returns the sum of odd factors for the given number, returns -1 if there's no factor for the number.
sum_pfact() -> Returns the sum of prime factors for the given number, returns -1 if there's no factor for the number.
import factors.factors as f
f.fact(10) -> [1, 2, 5, 10] (Output).
Package: mathfox
MathFoxA library with math functions to helpPythondevelopers with their projects.In total, we have39functions,1variable and1class!MathFox link on:Versionsv1.1.1LATTER---improvement of trigonometric functions and addition of thecot(),sec()andcsc()functions, in addition to theradians()anddegrees()function which is in thecalculationcategoryv1.1.0---Removal of thesumlist()function, creation of theFraction()class, renaming of theisfloat()function toisdecimal()andmathcategory forcalculationcategory, creation of a new category in thecalculationcategory, which isgeometry, within it will be theareacategory (which has been redefined), and thetrigonometrycategory, which will have, in addition to thesin(),cos()andtan()functions, it will have theasin(),acos()andatan()functions.v1.0.2---Correction of thechance()function, improvement of theisint()andisfloat()functions, creation of more decent documentation.v1.0.0---Library creation.Library structuremathfoxcalculationgeometryareatwo_dimensionsthree_dimensionstrigonometrynumbernumisInstallationOpenCMDand write:pip install --upgrade mathfox
Package: mathfuncs-parse
How to Use:After importing ‘mathfuncs_parse’, create a ‘mathfuncs_parse.func(expr: str)’ object.Available Member Functions:valid()->boolChecks whether the expression is syntactically correct.eval()->floatEvaluates the expression. Note: only works if no variables are present.eval(vars: dict{str: float|int})->floatEvaluates the expression, substituting the variables present with the values passed in the dict.vars()->dict{str: float}Returns a dict containing all variables that must be passed to eval().add_func(name: str, func: <functionObj(float)->float>)->NullAdds a user-defined function to the object’s internal state. Note: calling ‘init(str)’ does not reset this.avail_funcs()->dict{str: <functionObj>}Returns a dict of available functions which can be used in the current expression.Release Note (1.1.3):Updated compiler flag detection for building source wheels on most platformsSmall bug fixes for greater cross-platform compatibility
Package: mathgenproject-jgolden17
mathgenprojectMathematics Genealogy Project SpiderA webspider for theMathematics Genealogy Project.InstallationUse the package manager pip to install the spider.pipinstallmathgenprojectUsageDefine a pipeline through which to process each mathematician returned from the spider.classMyPipeline(object):defopen_spider(self,spider):...defprocess_item(self,item,spider):print(item['name'])returnitemdefclose_spider(self,spider):...Run the spider using scrapy'sCrawlerProcess, passing in the mathematician's MGP ID.fromscrapy.crawlerimportCrawlerProcessfrommathgenproject.spidersimportMathGenProjectSpiderprocess=CrawlerProcess(settings={'FEED_FORMAT':'json','FEED_URI':'items.json','ITEM_PIPELINES':{'MyPipeline':300,},})process.crawl(MathGenProjectSpider,mgp_id='216087')process.start()ContributingPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.LicenseMIT
Package: mathician
MathicianMathician is a math package that uses the math library (some of it) and is built with Python math functions. It is created by Arjun Sharda, and it is one simple python package that can be used, although basic and is great for starters who are learning how to use PyPi.Mathician is open-sourced and is free for everyone to use, fork, etc, under theMIT License as defined in the LICENSE fileIn short, Mathician is a basic math package some basic math features and uses the math library. It is a python package created by Arjun Sharda and can be installed with the PyPi package manager.Installation# MacOS / Linux (via Terminal)
python3 -m pip install -U mathician

# Windows (via CMD Prompt)
py -3 -m pip install -U mathicianChangelogVersion 1.5.0Code rewrite for publishing with PyPiQuickstartimportmathicianprint(mathician.add(100,2))Take a look at more examples in theexamplesfolder!