Here's how NUMPY.ORG makes money* and how much!

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NUMPY . ORG {}

Detected CMS Systems:

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Numpy.org Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. External Links
  10. Libraries
  11. Hosting Providers

We are analyzing https://numpy.org/neps/nep-0013-ufunc-overrides.html.

Title:
NEP 13 — A mechanism for overriding Ufuncs — NumPy Enhancement Proposals
Description:
No description found...
Website Age:
25 years and 3 months (reg. 2000-03-29).

Matching Content Categories {📚}

  • Education
  • Non-Profit & Charity
  • Fitness & Wellness

Content Management System {📝}

What CMS is numpy.org built with?


Numpy.org utilizes BLOGGER.

Traffic Estimate {📈}

What is the average monthly size of numpy.org audience?

💥 Very Strong Traffic: 200k - 500k visitors per month


Based on our best estimate, this website will receive around 312,804 visitors per month in the current month.

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How Does Numpy.org Make Money? {💸}

We can't tell how the site generates income.

Earning money isn't the goal of every website; some are designed to offer support or promote social causes. People have different reasons for creating websites. This might be one such reason. Numpy.org could be getting rich in stealth mode, or the way it's monetizing isn't detectable.

Keywords {🔍}

arrayufunc, ndarray, ufuncs, type, ufunc, class, return, numpy, notimplemented, nep, binary, operations, sparse, python, method, hierarchy, array, arguments, casting, override, def, classes, typeerror, result, option, implementation, subclasses, matrix, mechanism, support, inputs, case, format, arrays, dispatch, elements, kwargs, neps, operators, note, called, numpyint, stored, compressed, row, mine, types, input, call, methods,

Topics {✒️}

org/pipermail/numpy-discussion/2011-june/056945 org/doc/numpy/user/basics org/3/reference/datamodel ufunc expressions involving simple file format superseded neps rejected retro-fit numpy universal functions main content index simd optimization instructions main namespace deferred 3rd party code draw directed edges unambiguous partial ordering org/issue30140 list recommend adopting option numpy version support function dispatch proceeds producing surprising results achieve predictable results execution falls back generally return notimplemented convert python floats array operations assume type casting hierarchy draw edges type type hierarchy discussed ensures backwards compatibility simple reverse operation support binary operations result arrives immediately supporting binary arithmetic defined casting hierarchy python binary operations follow numpy semantics np import scipy support legacy behaviour highest type involved private _ones_like ufunc future-compatible path object array scalar implementing binary operations produce results html motivation convert unknown objects override binary operations input arguments tend required input arguments support binary arithmetic custom array types

Questions {❓}

  • Also, what would ndarr[:] *= mine imply?

External Links {🔗}(19)

Libraries {📚}

  • Bootstrap

Emails and Hosting {✉️}

Mail Servers:

Name Servers:

  • henry.ns.cloudflare.com
  • kristin.ns.cloudflare.com
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