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Arxiv

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PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment

  • Network alignment (NA) is essential for various multi-network learning tasks, but there is a lack of comprehensive library for benchmarking NA methods.
  • PLANETALIGN is introduced as a Python library for network alignment, providing built-in datasets, methods, and evaluation pipelines with easy-to-use APIs.
  • It integrates 18 datasets and 14 NA methods, along with extensible APIs for method development and systematic evaluation using a variety of metrics.
  • The library aims to offer practical insights into the strengths and limitations of existing NA methods to aid in the development of more effective and robust approaches.

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PlanetPython

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Wingware: Wing Python IDE Version 10.0.10 - May 28, 2025

  • Wing 10.0.10 fixes the Python Shell and Debug Probe when running Python 3.13.3 or later.
  • Wing Pro 10 introduces powerful AI-assisted development features such as code suggestion, refactoring, and AI chat.
  • Wing 10 adds support for Python 3.12, 3.13, ARM64 Linux, Poetry package management, and Ruff code warnings & reformatting.
  • Wing 10 is a ground-breaking release in Wingware's Python IDE product line offering enhanced development capabilities.

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Medium

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What I Wish I Knew Before My First Python Interview

  • Having coding experience in Python and completing small projects may not be sufficient preparation for a Python interview.
  • Interviewers test not only your syntax skills but also how you think about and approach problems.
  • Understanding concepts like time complexity and space complexity is essential for Python interviews.
  • Preparation for Python interviews should focus on problem-solving skills in addition to coding proficiency.

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VentureBeat

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Mistral launches API for building AI agents that run Python, generate images, perform RAG and more

  • French AI startup Mistral AI has launched the Agents API, allowing developers to add generative AI capabilities to their applications using the Medium 3 model.
  • The Agents API focuses on agentic orchestration, built-in connectors, persistent memory, and coordinating multiple AI agents for complex tasks.
  • It addresses limitations of traditional language models by enabling AI agents to perform real-world tasks, manage interactions, and orchestrate multiple agents.
  • The API includes built-in connectors like web search and supports MCP tools for enhanced functionality with external resources.
  • Significant accuracy improvements were observed in benchmark testing with the integration of web search in Mistral's Large and Medium models.
  • Use cases for the Agents API span multiple sectors, providing flexible and stateful conversation management along with streaming output support.
  • Developers can create customized workflows, assign tasks to specialized agents, and handoff seamlessly, enhancing problem-solving capabilities.
  • The Agents API benefits professionals by enabling faster AI deployment, dynamic orchestration, and integration of real-world data sources.
  • It offers built-in connectors, stateful conversation management, real-time updates, and MCP tool support for operational efficiency and deployment control.
  • Despite being proprietary, Mistral AI's Agents API is marketed for its enterprise-grade features, customizable workflows, and secure integrations.

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Dev

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Python Functions and Method

  • Python programming revolves around the use of functions to enhance code reuse, efficiency, and manageability.
  • Functions in Python aid in code reusability by allowing code blocks to be executed multiple times by calling the function name.
  • Python offers built-in functions like print(), len(), and user-defined functions established using the 'def' keyword.
  • Methods in Python, which are similar to functions but belong to classes or instances, provide access to object properties for manipulation.

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PlanetPython

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Python Morsels: Looping in reverse

  • Any reversible iterable can be reversed using the built-in reversed function whereas Python's slicing syntax only works on sequences.
  • Reversing sequences with slicing: Using Python's slicing syntax, a sequence like a list can be reversed by using [::-1].
  • The list reverse method: The article discusses the list reverse method as an alternative for reversing sequences.
  • For more details, you can read the full article at: https://www.pythonmorsels.com/looping-in-reverse/

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Dev

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Mustiolo: A Python library for creating CLI applications.

  • Mustiolo is a Python library designed for creating CLI applications using only standard Python packages as dependencies.
  • Key features include command registration via decorators, autocomplete, command history, help menu via docstrings, and use of typing hints for parameter type checks.
  • The name 'mustiolo' is inspired by the smallest mammal in the world, reflecting the library's aim to be a compact solution for CLI app development.
  • An example code snippet demonstrates how Mustiolo simplifies creating CLI applications in Python, with commands like greet and add showcased for illustration.

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Medium

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Data Migration in a Product-Based Environment Using Java & Python in Azure DevOps

  • ETL-Based Migration involves Extract, Transform, Load using Apache Kafka, Spark, or custom Java/Python scripts.
  • Database Replication & Sync can be achieved for PostgreSQL, MySQL, Azure SQL using Flyway, Liquibase, or Python ORM.
  • Data Pipeline Automation can be done through Azure Data Factory or Python-based ETL jobs integrated with Azure DevOps.
  • Cloud Storage Transfer includes moving blobs and structured datasets via Azure Storage SDK using Java/Python.

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Medium

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✨ Why Python List Comprehensions Are Slowing You Down — And What To Use Instead

  • Python developers often rely on list comprehensions, but they can slow down the code and consume a lot of memory.
  • Generator expressions offer a more memory-efficient solution by yielding one value at a time on demand, leading to a constant, tiny memory footprint.
  • While generator expressions are useful for streaming data, passing into built-in functions like sum(), max(), and min(), and chaining multiple operations without storing intermediate lists, they are not suitable for reuse of values or random access.
  • Using generator expressions can optimize code for speed, memory efficiency, and cleaner, more Pythonic syntax, making it a valuable tool in Python development.

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Dev

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🚀 I Built an Offline J.A.R.V.I.S. in Python (No Internet Needed!) DEMO VIDEO INSIDE!

  • A developer has created an offline AI voice assistant named EDITH in Python, inspired by J.A.R.V.I.S. and EDITH from the Marvel universe.
  • EDITH is fully offline, operates without internet connection, performs tasks like opening apps, taking selfies, system control, weather updates, and more.
  • The project emphasizes privacy-first AI, speed without servers, and smart features without surveillance, aiming to redefine AI assistant standards.
  • The tech stack includes Python libraries for speech recognition, text-to-speech, system control, etc., and hardware requirements include just a mic and a machine.

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PlanetPython

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Python Bytes: #433 Dev in the Arena

  • git-flight-rules is a guide for programmers on using Git effectively with step-by-step procedures for common operations.
  • Unravelling t-strings explains Python expressions, conversions, and format specs, closely resembling an example in PEP 750.
  • neohtop offers blazing-fast system monitoring with real-time process tracking, modern UI, and advanced process management features.
  • Pyrefly, a new type checker and IDE experience for Python by Facebook/Meta, focuses on performance, IDE integration, inference, and is open source.

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Medium

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Mastering Python Data Types: What Textbooks Won’t Tell You

  • Internally, Python caches small integers from -5 to 256 for faster access.
  • Repeating a string in Python creates a new object each time due to immutability.
  • Python lists over-allocate memory to minimize resizing operations.
  • An empty tuple in Python uses less memory than an empty list.

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Dev

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🌀 Real-Time Python CLI Dashboard with rich and pyfiglet — Now It’s ALIVE ⚡

  • Built a real-time Python CLI dashboard using rich and pyfiglet for terminal system monitoring.
  • Included features like live system monitoring for CPU/RAM usage, task overview, and a live clock.
  • Implemented beautiful layout with header, body, and footer using rich panels for seamless updates.
  • Used libraries like rich, pyfiglet, psutil, and Python's datetime for dynamic terminal visualization.

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Medium

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Using Stable Diffusion with Python: Unleashing Creative Possibilities

  • Stable Diffusion, developed by Stability AI, is a latent diffusion model used for generating high-quality images from text descriptions.
  • Running Stable Diffusion locally through Python provides customization, offline capabilities, and cost savings compared to cloud-based alternatives.
  • Stable Diffusion can be accessed through libraries like diffusers from Hugging Face, facilitating easy integration into creative projects.
  • The tool offers a variety of models with unique strengths, making it suitable for a wide range of creative and practical applications such as AI-generated art, game design, and photo editing.

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Dev

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🚀 I Built a Static CLI Dashboard in Python Using rich and pyfiglet – Looks Nerdy, Works Smart 😎📊

  • A Python-based CLI dashboard was built to display system stats and tasks using libraries like rich, pyfiglet, and psutil.
  • The dashboard includes a System Info Panel showing OS, processor, machine type, and boot time, and a Task Tracker for tracking operations.
  • It features a beautiful layout split into sections, a nerdy footer message, and uses libraries like rich, pyfiglet, and psutil.
  • The code includes functions to fetch system stats and display them, along with a task table and a footer displaying a motivational message, providing a satisfying terminal dashboard experience.

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