
NUMPY . ORG {
}
Title:
NEP 22 — Duck typing for NumPy arrays – high level overview — NumPy Enhancement Proposals
Description:
No description found...
Website Age:
25 years and 3 months (reg. 2000-03-29).
Matching Content Categories {📚}
- Education
- Telecommunications
- Mobile Technology & AI
Content Management System {📝}
What CMS is numpy.org built with?
Custom-built
No common CMS systems were detected on Numpy.org, but we identified it was custom coded using Bootstrap (CSS).
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 250,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.
check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush
How Does Numpy.org Make Money? {💸}
We're unsure if the website is profiting.
While many websites aim to make money, others are created to share knowledge or showcase creativity. People build websites for various reasons. This could be one of them. Numpy.org could have a money-making trick up its sleeve, but it's undetectable for now.
Keywords {🔍}
duck, arrays, array, numpy, nep, full, api, support, ndarray, functions, implementation, cases, implement, neps, partial, python, objects, work, apis, object, ufuncs, high, level, protocols, semantics, methods, libraries, define, interface, numpys, typing, type, doesnt, sparse, principle, provide, implementing, types, data, approach, general, dont, make, arrayufunc, method, abc, protocol, overview, standard, add,
Topics {✒️}
org/pipermail/numpy-discussion/2018-september/078752 unique null-skipping behavior high-level vision random number generation high level api provide array-wrapping-classes duck-typing ndarray informational-class nep fine duck arrays �partial” duck arrays partial duck arrays python-level apis �full” duck arrays full duck arrays high level superseded neps rejected partial duck array c-level implementation duck arrays won concatenating duck arrays duck array authors data sets grow lazily evaluated arrays reuse temporary arrays array-structured data duck array api main content index simple file format simd optimization instructions main namespace deferred scientific python stack classic bike-shed free-standing functions scikit-learn functions convenient side-effect core python conventions safe integer coercion ensure maximum compatibility stack/vstack/hstack makes fewer guarantees �duck typing” duck array implementers partial array types prescribe full details implementing large groups strange edge cases full indexing semantics multi-dimensional arrays accessing array storage date/time types
Questions {❓}
- Why focus on full duck arrays?
External Links {🔗}(7)
- How much revenue does https://github.com/numpy/numpy/issues?q=is%3Aopen+is%3Aissue+label%3A%2223+-+Wish+List%22 produce monthly?
- What's the financial outcome of https://github.com/numpy/numpy?
- Check the income stats for https://mail.python.org/pipermail/numpy-discussion/2018-September/078752.html
- http://dask.pydata.org/en/latest/array-api.html#dask.array.from_array's revenue stream
- What's the income of https://github.com/numpy/numpy/pull/10706?
- Earnings of https://www.sphinx-doc.org/
- Learn how profitable https://pydata-sphinx-theme.readthedocs.io/en/stable/index.html is on a monthly basis
Libraries {📚}
- Bootstrap
Emails and Hosting {✉️}
Mail Servers:
Name Servers:
- henry.ns.cloudflare.com
- kristin.ns.cloudflare.com