GITHUB . COM {}

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Github.com utilizes WORDPRESS.

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


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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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Keywords {🔍}

jbrockmendel, issue, sign, api, closed, member, jreback, consistency, pandas, projects, fillna, noops, retain, dtype, added, bug, commented, npnan, navigation, pull, requests, actions, security, downcating, intentional, ser, pdseries, dtypeobject, triage, reviewed, team, downcast, jorisvandenbossche, milestone, internal, apibehavior, missingdata, pdnat, pdna, dropna, isnull, interpolate, github, type, footer, skip, content, menu, product, solutions,

Topics {✒️}

personal information api comment metadata assignees projects milestone 1 retain dtype based triage issue type projects ser = pd 5 closed ops intentional dtype=object dtype dtype retain dtype downcast kw cast object np consistent downcast 100% complete relationships bug github interpolate type completed sign ser pd 'int64' retain interpolate sign skip jump downcating fillna series cases reviewed point practice op case discussion downcasting general nan] nan nat na dropna isnull removed free join

Payment Methods {📊}

• Braintree

Questions {❓}

• API: downcating on fillna no-ops intentional?
• Already have an account?
• Better to retain dtype in these cases?

Schema {🗺️}

DiscussionForumPosting:
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      headline:API: downcating on fillna no-ops intentional?
      articleBody:```python ser = pd.Series([1, 2, 3], dtype=object) >>> ser.fillna(4).dtype dtype('int64') ``` Better to retain dtype in these cases?
      author:
         url:https://github.com/jbrockmendel
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      datePublished:2022-01-17T18:46:35.000Z
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      headline:API: downcating on fillna no-ops intentional?
      articleBody:```python ser = pd.Series([1, 2, 3], dtype=object) >>> ser.fillna(4).dtype dtype('int64') ``` Better to retain dtype in these cases?
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         url:https://github.com/jbrockmendel
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External Links {🔗}(2)

• Get to know https://github.blog's earnings
• How much does https://www.githubstatus.com/ generate monthly?

Analytics and Tracking {📊}

• Site Verification - Google

Libraries {📚}

• Clipboard.js
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