who designed Python itself. Both the GUI framework and the language are licensed under the same Python Software Foundation (PSF) License. While the license is compatible with the GPL, it is a 'permissive' license (similar to the MIT License) that allows it to be used for proprietary applicat...
Click to learn the pros and cons of the top ten Python GUI Frameworks. Understand which framework is best for your application's requirements.
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Developed in 2005 by a group of developers, Django was created to handle the intensive requirements of news-oriented websites. Since then, the framework has grown into one of the most popu...
AsyncSSH is a Python package which provides an asynchronous client and server implementation of the SSHv2 protocol on top of the Python 3.6+ asyncio framework. import asyncio, asyncssh, sys async def run_client(): async with asyncssh.connect('localhost') as conn: result = await conn.run('ech...
(Demo, Source Code) AGPL-3.0 Python/deb/Docker GNUnet - Software framework for decentralized, peer-to-peer networking. (Source Code) GPL-3.0 C Gotify - Notification server with Android and CLI clients (alternative to PushBullet). (Source Code, Clients) MIT Go/Docker Hyphanet - Anonymously ...
The popular scientific Python libraries Scipy, Pandas, and scikit-learn, often used in AI and ML development, all use this mechanism to intermingle C and C++ with the Python code. Some familiarity with C and C++ is necessary to leverage this Python feature to its fullest, but you’ll still...
(Rashomon models), creating explanation and model multiplicities. This resulted in a novel framework called method agnostic model class reliance range (MAMCR) for identifying a unified explanation across methods for multiple models. This consensus explanation provides each feature’s importance range for...
unit tests Learn how to test in Python with Nose unit tests.kaggle-and-business-analysesIPython Notebook(s) used in kaggle competitions and business analyses.NotebookDescription titanic Predict survival on the Titanic. Learn data cleaning, exploratory data analysis, and machine learning. churn-analysi...
In their recent work, Zagheni and Weber provide a general framework to extract information from biased web data by using “difference-in-differences” as one proposed methods. This approach does not try to estimate absolute levels of real-world variables but, rather, it aims to obtain reliable...