GITHUB . COM {}

Matching Content Categories {📚}

• Mobile Technology & AI
• Technology & Computing
• Social Networks

Content Management System {📝}

What CMS is github.com built with?

Github.com utilizes WORDPRESS.

Traffic Estimate {📈}

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 10,653,780 visitors per month in the current month.

check SE Ranking
check Ahrefs
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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 5,316,107 paying customers.
The estimated monthly recurring revenue (MRR) is $22,327,651.
The estimated annual recurring revenues (ARR) are $267,931,808.

Wordpress Themes and Plugins {🎨}

What WordPress theme does this site use?

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

What WordPress plugins does this website use?

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

Keywords {🔍}

string, jbrockmendel, dtype, member, jorisvandenbossche, issue, data, code, blockastype, consistency, extension, type, commented, sign, api, ser, serastypestring, nat, bug, case, entries, pandas, projects, convert, added, lines, dta, assert, dtaastypestr, return, navigation, pull, requests, actions, security, serdtastypestring, serdtvaluesastypestring, pdseriespdnat, pdtimestampnow, nice, series, dispatch, array, valueerror, object, numpy, datetime, triage, reviewed, team,

Topics {✒️}

pandas/pandas/core/internals/blocks pandas/pandas/core/arrays/datetimelike personal information api string data type extension string type tz-naive data removed bug native types format comment metadata assignees type projects jbrockmendel mentioned avoid converting pd extension string dtype _astype defer string data projects milestone extension dtypes triage issue extension block consistency core datetime64[ns] medium-priority arraymanager work flip side ndarray[dt64] elif is_string_dtype add tests milestone relationships ser[dt64] array code ser = pd convert object issue na_rep=pd roll datetimeblock def to_native_types na_rep=na_rep working correctly github arr_cls = dtype ser2 = pd dtype=ser series code return arr_cls dta = pd calling block special case vals = ser string dtype

Payment Methods {📊}

• Braintree

Questions {❓}

• Already have an account?
• But DatetimeBlock (and probably TimedeltaBlock as well?
• First question: why is it different?

Schema {🗺️}

DiscussionForumPosting:
      context:https://schema.org
      headline:API: ser[dt64].astype("string") vs ser[dt64]._values.astype("string")
      articleBody:``` ser = pd.Series([pd.NaT, pd.Timestamp.now()]) >>> ser.astype("string") 0 NaT 1 2020-09-05 16:44:52.259773 dtype: string >>> pd.Series(ser._values.astype("string")) 0 <NA> 1 2020-09-05 16:44:52.259773 dtype: string ``` It would be nice to have the Series code (i.e. the Block.astype) dispatch to the array code. Note also: ``` vals = ser._values.astype("string") >>> vals.astype(ser.dtype) ValueError: Could not convert object to NumPy datetime >>> pd.Series(vals, dtype=ser.dtype) ValueError: Could not convert object to NumPy datetime >>> pd.to_datetime(vals) # <-- works ```
      author:
         url:https://github.com/jbrockmendel
         type:Person
         name:jbrockmendel
      datePublished:2020-09-05T23:47:32.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:5
      url:https://github.com/36153/pandas/issues/36153
      context:https://schema.org
      headline:API: ser[dt64].astype("string") vs ser[dt64]._values.astype("string")
      articleBody:``` ser = pd.Series([pd.NaT, pd.Timestamp.now()]) >>> ser.astype("string") 0 NaT 1 2020-09-05 16:44:52.259773 dtype: string >>> pd.Series(ser._values.astype("string")) 0 <NA> 1 2020-09-05 16:44:52.259773 dtype: string ``` It would be nice to have the Series code (i.e. the Block.astype) dispatch to the array code. Note also: ``` vals = ser._values.astype("string") >>> vals.astype(ser.dtype) ValueError: Could not convert object to NumPy datetime >>> pd.Series(vals, dtype=ser.dtype) ValueError: Could not convert object to NumPy datetime >>> pd.to_datetime(vals) # <-- works ```
      author:
         url:https://github.com/jbrockmendel
         type:Person
         name:jbrockmendel
      datePublished:2020-09-05T23:47:32.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:5
      url:https://github.com/36153/pandas/issues/36153
Person:
      url:https://github.com/jbrockmendel
      name:jbrockmendel
      url:https://github.com/jbrockmendel
      name:jbrockmendel
InteractionCounter:
      interactionType:https://schema.org/CommentAction
      userInteractionCount:5
      interactionType:https://schema.org/CommentAction
      userInteractionCount:5

External Links {🔗}(2)

• How much does https://github.blog rake in every month?
• How much does https://www.githubstatus.com/ gross monthly?

Analytics and Tracking {📊}

• Site Verification - Google

Libraries {📚}

• Clipboard.js
• D3.js
• Lodash

Emails and Hosting {✉️}

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