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Python 3.7 Docs icon

How much does Python 3.7 Docs earn?

Android app from NextLabs.cc · Books & Reference

ML forecast ★ 3.2 · 108 Free

~248/mo

ML revenue forecast. Calibrated against 63594 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Python 3.7 Docs screenshot 1 Python 3.7 Docs screenshot 2 Python 3.7 Docs screenshot 3 Python 3.7 Docs screenshot 4

Python 3.7 Docs's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Python 3.7 Docs sits in Books & Reference

Revenue distribution of 63594 comparable apps. Python 3.7 Docs highlighted.

Python 3.7 Docs vs comparable apps

Revenue trajectory side-by-side. Bold = Python 3.7 Docs, ghosted = peers.

App spec

Version
1.1.0
Last update
Apr 26, 2020
Launched
Mar 06, 2018
Price
Free
Monetization
Free

What Python 3.7 Docs actually does (from store listing)

Python 3.7 Documentation Table of Content What's new in Python 3.7? 1. Whetting Your Appetite 2. Using the Python Interpreter 3. An Informal Introduction to Python 4. More Control Flow Tools 5. Data Structures 6. Modules 7. Input and Output 8. Errors and Exceptions 9. Classes 10. Brief Tour of the Standard Library 11. Brief Tour of the Standard Library — Part II 12. Virtual Environments and Packages 13. What Now? 14. Interactive Input Editing and History Substitution 15. F…
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Comparable Android apps

The five apps in Books & Reference with the closest revenue to Python 3.7 Docs. Click any to see its detail page.

AppRevenueRatingRatings
Magnificat British Edition icon Magnificat British Edition 248 ★ 4.1 125
Filipino Dictionary Multifunct icon Filipino Dictionary Multifunct 248 0
Matematika SMA Kelas XI IPA icon Matematika SMA Kelas XI IPA 248 0
TAC Sunday School icon TAC Sunday School 248 0
Manipuri Bible icon Manipuri Bible 248 0
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Python 3.7 Docs's tracker page for current rating, reviews and snapshot timeline.

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