QPython+ - Python for Android
QPython+ - Python for Android Summary
QPython+ - Python for Android is a ad-supported Android app in Education by QPythonLab. Released in Aug 2016 (9 years ago). It has about 3.3M+ installs and 10.5K ratings with a 3.86★ (average) average. Based on AppGoblin estimates, it reaches roughly 18.6K monthly active users and generates around $<10K monthly revenue (0% IAP / 100% ads). Store metadata: updated Nov 5, 2025.
Recent activity: 1.1K installs this week (74K over 4 weeks) showing steady growth , and 2.00 new ratings this week View trends →
Data tracking: SDKs and third-party integrations were last analyzed on Mar 10, 2026. The app's network data flows (API traffic to/from the app and its SDKs) were last crawled on Mar 8, 2026.
Store info: Last updated on Google Play on Nov 5, 2025 .
3.86★
Ratings: 10.5K
Screenshots
App Description
QPython+ is mainly for experienced Python users.
QPython+ is a Python programming engine on your Android device. It integrates an interpreter, console, editor and QSL4A library, and fully supports web development, scientific computing and AI expansion. Whether you are new to Python programming or an experienced developer, QPython+ can provide you with a powerful mobile programming workstation.
# The main function
- Complete Python environment: built-in Python interpreter, write and execute code anytime, anywhere.
- Feature-rich editor: QEditor allows you to easily develop Python projects on your mobile phone.
- Jupyter Notebook support: Learn and run Notebook files through QNotebook browser.
- Extension libraries and PIP: Easily install and manage third-party libraries to expand your programming capabilities.
# Core Highlights
- Android features: Access Android device sensors and services through the QSL4A library to broaden application scenarios.
- Web development: Supports popular frameworks such as Django and Flask to easily build web applications.
- AI integration: supports OpenAI, Langchain, APIGPTCloud and other AI frameworks to explore the infinite possibilities of artificial intelligence.
- Scientific computing: Numpy, Scipy, Scikit-learn, Matplotlib and other libraries help you solve complex scientific computing problems.
- File processing: Pillow, OpenPyXL, Lxml and other libraries make data processing simple.
# Learning Community
- Join us on Facebook group: https://www.facebook.com/groups/qpython
- Join us on Discord: https://discord.gg/hV2chuD
- Join us on Slack: https://join.slack.com/t/qpython/shared_invite/zt-bsyw9868-nNJyJP_3IHABVtIk3BK5SA
# Feedback and Support
If you have any questions, we are here to help. Please contact us via our official website, email or social media:
Official website: https://www.qpython.org
Email: support@qpython.org
Twitter: http://twitter.com/QPython
# Privacy
https://www.qpython.org/privacy.html

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