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https://www.infoworld.com/article/3209651/python/how-to-convert-python-to-javascript-and-back-again.html How to convert #Python to #JavaScript (and back again) Love Python? JavaScript, not so much? Here are four tools that turn Python to JavaScript for use in web applications

https://help.ubuntu.com/community/CronHowto #Cron is a system daemon used to #execute desired #tasks (in the background) at designated times. A crontab file is a simple text file containing a list of commands meant to be run at specified times. It is edited using the crontab command. The commands in the crontab file (and their run times) are checked by the cron daemon, which executes them in the system background.

🛑 Gemini and Cursor vulnerabilities exposed direct code execution in dev workflows. #Gemini CLI (CVSS 10.0) auto-trusted folders in CI, letting malicious .gemini/ configs from PRs run on hosts. #Cursor bugs triggered hidden Git hooks and exposed local API keys via extensions. 🔗 Details → https://thehackernews.com/2026/04/google-fixes-cvss-10-gemini-cli-ci-rce.html

Asynchronous #celery celeryproject.org Distributed task queue. #flower pypi.python.org/pypi/flower Tool for monitoring and management of Celery tasks. #django-channels pypi.python.org/pypi/django-channels Official Django websockets interface, can also be used as task queue. #rq pypi.python.org/pypi/rq RQ is a simple, lightweight, library for creating background jobs, and processing them. #django-rq pypi.python.org/pypi/django-rq A simple app that provides django integration for RQ (Redis Queue). #django-background-#tasks github.com/arteria/django-background-tasks Database backed asynchronous task queue.

http://www.aparat.com/v/4nbc9 This talk gives a quick overview of Python's capabilities as a #data_processing and #machine_learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for #classification and #prediction#tasks.

Maid - Mobile Artificial Intelligence Distribution Maid is a cross-platform free and an open-source application for interfacing with llama.cpp models locally, and remotely with Ollama, Mistral, Google Gemini and OpenAI models remotely. -Choose from A wide range of models that runs LOCALLY and access remote models via api key! -Text based output -Image Generation (Selected Models only) -No video or short clips generation yet -Voice generation on selected models (Not tested) -Setting model parameters -Setting system prompt (Making the model behave/generate output in a certain way). -And more. Get it on Github - https://github.com/Mobile-Artificial-Intelligence/maid/releases/latest Fdroid - https://f-droid.org/packages/com.danemadsen.maid/ Spystore - https://play.google.com/store/apps/details?id=com.danemadsen.maid *Don't clear CACHE OF THE APP AND EXCLUDE IT FROM SYSTEM'S AUTO CACHE CLEANING as app stores everything in device cache* Follow @nogoolag and @libreware for more #ai

Cherry Studio Cherry Studio is a desktop client for Windows, Mac and Linux, which supports many LLM providers, including large cloud services and local models. Among its main functions is the ability to work with more than 300 pre -designed #AI assistants, the creation of custom assistants, as well as support for various formats of documents, including text, images and office files. The application offers tools for global search, top management and translating, which significantly improves interaction with the user thanks to the cross -platform and many settings options. https://github.com/cherryhq/cherry-studio

LibreChat AI Open-source platform that allows users to chat and interact with various #AI models through a unified interface. You can use OpenAI, Gemini, Anthropic and other AI models using their API. You may also use Ollama as an endpoint and use LibreChat to interact with local LLMs. It can be installed locally or deployed on a server. LibreChat is designed to be highly customizable and supports a wide range of AI providers and services. Let me summarize its main features: Free and Open Source: Accessible to everyone without any costs. Customization: Offers extensive options to tailor the platform to individual preferences. Multi-AI Support: Integrates with numerous AI models and services. Unified Interface: Provides a consistent experience for interacting with different AI models. https://www.librechat.ai https://itsfoss.com/librechat-linux/

Jan.ai https://jan.ai A platform that enables you to run self-hosted local #AI. Jan provides an OpenAI-equivalent API server at localhost:1337 that can be used as a drop-in replacement with compatible apps. With Jan, you can: -Run open-source LLMs locally or connect to cloud AIs like ChatGPT or Google. -Search the web and databases. Integrate AI with everyday tools to work on your behalf (with permission). -Customize and add features with Extensions. Jan is opinionated software about what AI should be.

https://blog.wallaroolabs.com/2017/12/stateful-multi-stream-processing-in-python-with-wallaroo/ #Wallaroo is a high-performance, open-source framework for building distributed stateful applications. In an earlier post, we looked at how Wallaroo scales #distributed_state. In this post, we’re going to see how you can use Wallaroo to implement multiple data processing #tasks performed over the same shared #state. We’ll be implementing an application we’ll call “Market Spread” that keeps track of the latest pricing information by stock while simultaneously using that state to determine whether stock order #requests should be rejected. #pipeline