GITHUB . COM {}

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• Technology & Computing
• Social Networks
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Github.com relies on WORDPRESS.

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What is the average monthly size of github.com audience?

🚀🌠 Tremendous Traffic: 10M - 20M visitors per month


Based on our best estimate, this website will receive around 10,000,019 visitors per month in the current month.
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How Does Github.com Make Money? {💸}

Subscription Packages {💳}

How Much Does Github.com Make? {💰}

Subscription Packages {💳}

Prices on github.com are in US Dollars ($). They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 4,989,889 paying customers.
The estimated monthly recurring revenue (MRR) is $20,957,532.
The estimated annual recurring revenues (ARR) are $251,490,385.

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It is strange but we were not able to detect any theme on the page.

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Keywords {🔍}

jreback, strict, dtype, sign, type, commented, contributor, residentmario, projects, api, issue, string, performance, added, milestone, author, navigation, pull, requests, actions, security, isstringdtype, comment, checking, object, return, problem, bit, conversions, method, add, modified, milestones, github, data, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing, search, jump, pandasdev, pandas,

Topics {✒️}

string data type projects milestone personal information api milestone relationships working-ish solution type projects comment metadata assignees bug/doc dtype = _get_dtype pandas ['string' object dtype made strict strict implementation api test performance 'unicode'] tiny bit is_string_dtype_strict method add documentation github def is_string_dtype performance checking dtype types/common strict comment performance common checking object bit method add types is_string_dtype skip jump sign arr_or_dtype isinstance np ndarray lib infer_dtype kind 'o' 's' 'u' is_period_dtype

Payment Methods {📊}

• Braintree

Questions {❓}

• Already have an account?
• How to test performance?

Schema {🗺️}

DiscussionForumPosting:
      context:https://schema.org
      headline:API: is_string_dtype is not strict
      articleBody:https://github.com/pandas-dev/pandas/issues/15533#issuecomment-284270591 ``pandas.types.common.is_string_dtype`` is not strict, just checking if its a fixed-width numpy string/unicode type or ``object`` dtype. It could be made strict via something like this. ``` def is_string_dtype(arr_or_dtype): dtype = _get_dtype(arr_or_dtype) if isinstance(arr_or_dtype, np.ndarray): if not lib.infer_dtype(arr_or_dtype) in ['string', 'unicode']: return False return dtype.kind in ('O', 'S', 'U') and not is_period_dtype(dtype) ``` this would need performance checking to see if its a problem. Further this then changes the API a tiny bit (as we allow an object OR a dtype to be passed in). Which is probably ok as long as its documented a bit.
      author:
         url:https://github.com/jreback
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         name:jreback
      datePublished:2017-03-05T23:02:41.000Z
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      url:https://github.com/15585/pandas/issues/15585
      context:https://schema.org
      headline:API: is_string_dtype is not strict
      articleBody:https://github.com/pandas-dev/pandas/issues/15533#issuecomment-284270591 ``pandas.types.common.is_string_dtype`` is not strict, just checking if its a fixed-width numpy string/unicode type or ``object`` dtype. It could be made strict via something like this. ``` def is_string_dtype(arr_or_dtype): dtype = _get_dtype(arr_or_dtype) if isinstance(arr_or_dtype, np.ndarray): if not lib.infer_dtype(arr_or_dtype) in ['string', 'unicode']: return False return dtype.kind in ('O', 'S', 'U') and not is_period_dtype(dtype) ``` this would need performance checking to see if its a problem. Further this then changes the API a tiny bit (as we allow an object OR a dtype to be passed in). Which is probably ok as long as its documented a bit.
      author:
         url:https://github.com/jreback
         type:Person
         name:jreback
      datePublished:2017-03-05T23:02:41.000Z
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      url:https://github.com/15585/pandas/issues/15585
Person:
      url:https://github.com/jreback
      name:jreback
      url:https://github.com/jreback
      name:jreback
InteractionCounter:
      interactionType:https://schema.org/CommentAction
      userInteractionCount:5
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External Links {🔗}(2)

• What's the financial intake of https://github.blog?
• How much does https://www.githubstatus.com/ earn?

Analytics and Tracking {📊}

• Site Verification - Google

Libraries {📚}

• Clipboard.js
• D3.js
• Lodash

Emails and Hosting {✉️}

Mail Servers:

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