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The 2025 Typed Python Survey reveals that 86% of developers regularly use type hints, reflecting strong adoption across experience levels. While many appreciate the type system for its optionality and improved code clarity, challenges remain, including third-party library support and complexity in advanced features.
Cloudflare has improved its Python Workers platform by adding support for a wider range of packages and implementing faster cold start times. The article explains how to deploy a FastAPI app globally in minutes and highlights performance benchmarks against AWS Lambda and Google Cloud Run.
GoStringUngarbler is a Python tool that extracts and deobfuscates strings from Go binaries obfuscated with the Garble tool. It requires specific flags during compilation and supports Windows and Linux binaries. The program works by patching decryption routines to reveal the original strings.
Cloudflare now supports Python for creating multi-step applications through its Workflows feature. This allows developers to automate processes like data pipelines and AI model training using Python, enhancing the usability and flexibility of the platform. The integration enables seamless orchestration with built-in error handling and retries.
This article examines five methods for inserting data into PostgreSQL using Python, focusing on the trade-offs between performance, safety, and convenience. It highlights when to prioritize speed and when clarity is more important, helping you select the best tool for your specific data requirements.
This article explores how Python allocates memory for integers, revealing that every integer is represented as a heap-allocated object in CPython. The author conducts experiments to measure allocation frequency during arithmetic operations, discovering optimizations that reduce unnecessary allocations. Despite these efficiencies, the article highlights performance overhead and suggests potential improvements.
PyFRC2G is a Python package that converts pfSense and OPNSense firewall rules into graphical flow diagrams. It automates the retrieval of firewall configurations via API, generates separate reports for each interface, and provides an optional integration with CISO Assistant for compliance documentation.
Hermes is a Linux-only command and control agent written in Python. It provides 18 built-in commands for tasks like file operations and system reconnaissance, using HTTP for communication. The installation process involves using the Mythic CLI to set it up.
Anthropic has partnered with the Python Software Foundation, providing $1.5 million to improve security in the Python ecosystem. This funding aims to protect users from supply-chain attacks and may benefit other open-source projects as well.
This article presents key performance numbers every Python programmer should know, including operation latencies and memory usage for various data types. It features detailed tables and graphs to help developers understand performance implications in their code.
This article discusses recent developments in AI, focusing on the release of GPT-4.5 and its incremental improvements over previous versions. It also shares a personal experience of building an iOS app using ChatGPT for guidance, highlighting the ease of coding with AI assistance.
The article introduces the "just" task runner, which streamlines command management across projects by allowing users to define shortcuts in a `.justfile`. It highlights how this tool simplifies repetitive tasks like running servers, building documentation, and testing, making development more efficient.
Astral has released ty, a new type checker and language server for Python that outperforms existing tools like mypy and Pyright. Built in Rust, it offers rapid incremental updates and a robust diagnostic system. The beta version is available for installation via the uv tool or as a VS Code extension.
Researchers found insecure bootstrap scripts in legacy Python packages that could allow attackers to exploit a domain takeover. The scripts fetch an outdated installation package from a now-available domain, which poses a risk of executing malicious code. Some affected packages have removed the scripts, but others, like slapos.core, still include them.
The author shares a simple Markov text generator called Mark V. Shaney Junior, inspired by an old Usenet program. They explain how the model works, share examples of gibberish generated from their blog posts, and discuss the limitations of Markov models compared to modern language models.
This article introduces debugwand, a tool for debugging Python applications in Kubernetes and Docker without the usual setup hassles. It leverages the new sys.remote_exec() feature in Python 3.14 to inject a debug server into a running process, allowing for real-time debugging with minimal configuration.
OSMnx is a Python tool that allows users to download and analyze street networks and geospatial features from OpenStreetMap. With simple commands, you can model walking, driving, or biking routes, as well as access urban amenities and transit data. For installation and usage guidance, refer to the Getting Started guide and Examples Gallery.
Anthropic has committed $1.5 million to the Python Software Foundation to enhance security in the Python ecosystem, focusing on protecting users from supply-chain attacks. The funding will support new tools for package review and strengthen the PSF's ongoing community efforts.
This article explains Spark Declarative Pipelines (SDP), a framework for creating data pipelines in Spark. It covers key concepts like flows, datasets, and pipelines, along with how to implement them in Python and SQL. The guide also includes installation instructions and usage of the command line interface.
This article outlines ten effective strategies to optimize Python code for better performance. It covers techniques like using sets for membership testing, avoiding unnecessary copies, and leveraging local functions to reduce execution time and memory usage. Each hack is supported by code examples and performance comparisons.
This article argues that Clojure may rival Python in the Data Science field due to its general-purpose nature, strong performance on the JVM, and rich library ecosystem. It highlights how Clojure's advantages address Python's limitations, particularly in speed and interop with native code.
Rad offers a streamlined approach to command-line scripting, combining Python-like syntax with built-in features for argument parsing, JSON handling, and HTTP requests. It eliminates the boilerplate often required in Bash and Python, making script writing more efficient. This language is designed specifically for creating CLI tools without the need for additional dependencies.
This article details Reddit's migration from a legacy Python service to Go microservices for handling comments. It outlines the challenges faced during the migration, including write endpoint validations and performance improvements achieved. The migration has successfully reduced latency while maintaining reliability.
The article highlights a significant rise in Python's adoption among developers, noting a 7 percentage point increase from 2024 to 2025. It discusses the languages developers have used and their interest in future technologies, with a focus on AI and data science.
HGMem is a framework that improves the ability of large language models to tackle sense-making questions by using hypergraph-based memory structures. It adapts dynamically to specific questions, outperforming traditional retrieval-augmented generation (RAG) methods when direct answers aren't available in documents.
SolyxImmortal is a Python-based malware designed to steal sensitive information from Windows users. It collects credentials, documents, and keystrokes while maintaining a low profile by using Discord webhooks for data exfiltration. The malware ensures persistence on infected systems without requiring administrative privileges.
This article dissects Anthropic's recently released take-home exam for performance optimization, which aims to engage candidates through an enjoyable challenge. It covers the simulated hardware, algorithm optimization techniques, and the data structures involved in the task, making it accessible even for those without a strong background in the field.
Django 6.0 introduces new features like built-in Content Security Policy support, template partials, and a Tasks framework for background processing. It drops support for Python 3.10 and 3.11, requiring users to upgrade to newer Python versions. Several minor updates and improvements are also included.
wxpath is a Python library that simplifies web crawling by allowing users to express both traversal and data extraction in a single XPath expression. It supports asynchronous operations for efficient crawling and streaming of results. The library includes features like a command-line interface, a terminal user interface, and options for politeness and caching.
This article introduces a library that standardizes action comments used by various Python tools. It outlines the format for these comments, which helps users and developers avoid confusion and errors. The library also provides a parser to simplify comment handling across different tools.
pandas 3.0.0 introduces several significant updates, including a dedicated string data type and improved copy/view behavior. Users should upgrade to pandas 2.3 first to ensure compatibility before moving to this version, which also supports Python 3.11 and higher.
This article provides step-by-step instructions for setting up and using the DeepSeek-OCR-2 model for optical character recognition. It includes specific commands for cloning the repository, installing necessary packages, and running the model on images and PDFs. Configuration details and code snippets for integration with the Transformers library are also included.
Pynb is a lightweight alternative to Jupyter notebooks that runs locally, prioritizing simplicity and ease of use. It integrates with your ChatGPT subscription and supports a mix of SQL and DataFrames, while keeping your data secure on your machine. Additional features, such as team collaboration, are planned for future updates.
Shorlabs is a platform that streamlines the deployment and management of backend applications using Python or Node.js. Built on AWS Lambda, it offers automatic scaling and a pay-per-use pricing model, making backend deployment more accessible without the need for extensive infrastructure management.
MAD-CAT is a security tool that simulates data corruption attacks on various database systems, including MongoDB, Elasticsearch, and Redis. It allows for both single-target and bulk CSV-based attacks, supporting credentialed and non-credentialed scenarios. Designed for educational purposes, it emphasizes security awareness through controlled demonstrations.
The article discusses the recent removal of deprecated APIs in urllib3 v2.6.0 and highlights how DeprecationWarnings failed to effectively communicate these changes to users and libraries. Despite warnings being in place for over three years, feedback indicated that the removals caught many off guard, leading to a rushed reintroduction of the APIs.
A serious vulnerability in n8n allows authenticated users to execute arbitrary commands on the host system. This flaw, tracked as CVE-2025-68668, affects versions 1.0.0 to just before 2.0.0 and has been fixed in the latest release. Users are advised to implement specific workarounds until they upgrade.
This article covers a technical project focused on speeding up the creation and deployment of container images across multiple nodes. It also discusses optimizing Python imports by leveraging undocumented features for bytecode caching.
Monty is an experimental Python interpreter built in Rust, designed to run Python code generated by AI agents. It offers fast startup times and strict control over resource usage while limiting access to the host environment. Although it has significant limitations, such as no support for the standard library or third-party libraries, it aims to simplify executing code from LLMs.
Stirrup is a flexible framework for creating AI agents that allows models to work autonomously without rigid workflows. It includes built-in best practices and tools for tasks like code execution and web browsing, enabling full customization for developers. The article details installation, usage, and examples for building personalized agents.
The article introduces uv, a new tool that streamlines Python installation, package management, and virtual environment handling. It highlights how uv can quickly resolve dependency conflicts and offers commands for initializing projects and adding packages efficiently. The author shares personal experiences using uv in a collaborative development environment.
DuckDB 1.4.3 introduces bug fixes, performance improvements, and adds native extensions and Python support for Windows Arm64. Key updates include corrections to query results and enhancements for Azure Blob Storage writing. This version allows for better memory management and introduces a native ODBC driver.
Bruin is a data pipeline tool that integrates data ingestion, transformation, and quality checks into one framework. It supports SQL, Python, and R while working across major data platforms, whether on a local machine or cloud services like EC2. The tool offers built-in features like Jinja templating and data validation for streamlined workflows.
This article introduces Kit, a toolkit for codebase mapping, symbol extraction, and code search. It allows developers to create tools like code reviewers and generators, and works seamlessly with Python and command-line interfaces. The documentation covers installation, usage, and advanced features for effective code analysis.
This article explains how to create a basic AI coding assistant using Python. It outlines the core functionalities needed, such as reading, listing, and editing files, and provides a step-by-step guide to implementing these features. The author emphasizes that the underlying architecture is straightforward and can be adapted for various LLM providers.
This repository offers detailed notes on the implementation of CPython, specifically version 3.8.0a0. It's geared towards those with Python experience who want to dive deeper into the interpreter's workings, covering topics like memory management, the Global Interpreter Lock, and C extensions.
The author logs and analyzes 67 bugs from their personal software projects throughout 2025, focusing primarily on Python. They explore common mistakes and the effectiveness of tools like Pyright, while discussing lessons learned and plans for improvement.
This article outlines the key updates in Python 3.15, including explicit lazy imports to improve startup times and a new profiling package for better performance analysis. It highlights the benefits of these features and their practical applications in Python development.
Cybersecurity researchers uncovered a campaign using malicious Blender files to deliver the StealC V2 information stealer. Users download infected .blend files from sites like CGTrader, which execute harmful scripts when opened, compromising their data. The attack takes advantage of Blender's Auto Run feature, allowing attackers to bypass security measures.
RestrictedPython allows you to run a limited subset of Python code in a controlled environment. It helps execute untrusted code safely but is not a full sandbox. The tool only works with CPython, not with other Python implementations.
The article details a startup's decision to rewrite its backend from Python to Node.js just a week after launch. The author discusses the challenges of Python's async capabilities and the benefits gained from switching to Node, including improved performance and a unified codebase.
This article walks you through creating an MCP server using Semaphore's API. It covers setting up the project, coding the server, and integrating it with tools like OpenAI's Codex for conversational CI/CD interactions.
This article explains how to use the Pandera library in Python to create data contracts that ensure data quality in pipelines. It highlights the common issues of schema drift and demonstrates how to validate incoming data against defined schemas to prevent errors. The author provides a practical example using marketing leads data.
This article introduces "claude-code-transcripts," a Python CLI tool that converts Claude Code transcripts into detailed HTML pages for easier understanding and sharing. It allows users to select local sessions or fetch them from Claude Code for web, streamlining the process of documenting coding conversations.
This article details improvements made to the Python packaging library, focusing on optimizing version and specifier handling. Key enhancements resulted in reading versions up to 2x faster and specifier sets up to 3x faster, significantly boosting performance for tools like pip. The author shares insights into the profiling and benchmarking methods used during this work.
This article discusses a CLI tool called TableDiff for comparing data between two tables across various databases. It supports different database adapters and offers features like schema-only comparison, cross-database diffing, and the ability to filter results with WHERE conditions.
ty is a Python type checker and language server built in Rust, offering significant speed improvements over mypy and Pyright. It provides detailed diagnostics, advanced typing features, and integrates with popular editors like VS Code and PyCharm. You can use an online playground to test it with code snippets.
This article introduces the vt-py library, which allows users to interact with the VirusTotal API v3. It lets you scan files and URLs, retrieve information, and manage various VirusTotal features like LiveHunt and Retrohunt. The documentation and example scripts provide guidance on using the library effectively.
Pyrefly is a type checker and language server designed for Python, offering features like type inference, code navigation, and semantic highlighting. It supports various IDEs and is actively developed, with a focus on performance and module-level incrementality. Users can report bugs and participate in discussions via Discord.
The article argues that Python, while popular for data science, is not the best choice for many tasks outside of deep learning. It highlights the frustrations users face due to Python's cumbersome tools and compares its performance to R in data analysis tasks. The author shares personal experiences from a research lab to illustrate these points.
This article introduces a Python script called runprompt that allows users to execute .prompt files for language models directly from the command line. It outlines how to create prompt templates, pass inputs, and utilize tools for various operations within the shell environment.
This article explains the advantages of using Python over shell scripts for scripting tasks. It highlights Python's cross-platform compatibility, extensive standard library, and readability, making it a better choice for developers dealing with complex scripts or multi-OS environments.
This project provides a command-line tool in Python that uses AI models from OpenAI and Google to solve various CAPTCHA types. It automates browser interactions with Selenium and captures solutions, recording successful attempts as GIFs. Users can easily customize it for different CAPTCHA challenges and AI providers.
Vibium enables AI agents to control a web browser using simple command-line instructions. It supports various methods of integration, including a CLI tool and client libraries for JavaScript/TypeScript and Python. The tool is lightweight, easy to set up, and built on standard protocols.
This GitHub repository hosts CrackFtp, a script that tests FTP login credentials on a large scale. It supports brute-force attacks and sends Telegram alerts for successful logins. Users can customize and run it for security assessments of their domains.
Microsoft identified an updated ClickFix campaign that disrupts users' browsers and tricks them into executing harmful commands. This variant uses social engineering and exploits native Windows utilities to deliver a Python RAT payload while evading traditional detection methods.
The author details their transition from VSCode to Zed after growing frustrated with VSCode's intrusive AI features and performance issues. They highlight Zed's speed, stability, and a smoother setup for Go, though they faced challenges configuring it for Python.
This article explores how WebAssembly (Wasm) can be used to extend Python applications, allowing developers to write performance-critical code in any Wasm-compatible language. It discusses the advantages of using wasmtime-py over other runtimes and highlights common pitfalls when interfacing between Python and Wasm.
cuTile Python is a programming language designed for NVIDIA GPUs, enabling users to run parallel computations. It requires CUDA Toolkit 13.1+ and includes a C++ extension for performance. The article covers installation, usage examples, and testing procedures.
Perspective is a tool for creating interactive analytics and data visualizations, particularly for large datasets. It supports user-configurable reports and dashboards, operating in the browser or with Python and JupyterLab. The system uses a fast query engine and a flexible user interface to enable efficient data handling and visualization.
This article introduces Pointblank, a Python library designed to streamline data validation. It emphasizes user-friendly features, automated validation suggestions, and customizable reports to enhance team communication about data quality issues.
This article explores an unconventional method for classifying text by leveraging compression algorithms. The author demonstrates how to concatenate labeled documents, compress them, and use the compressed sizes to predict labels for new texts. While the method shows promise, it is computationally expensive and generally underperforms compared to traditional classifiers.
This article explores how Python 3.14's zstd module enables efficient text classification through incremental compression. It outlines a method where text is classified based on the size of compressed output from different class-specific compressors, demonstrating improved speed and accuracy over traditional methods.
The removal of Python's Global Interpreter Lock (GIL) marks a significant shift in the language's ability to handle multithreading and concurrency. With the introduction of PEP 703, developers can now compile Python with or without the GIL, enabling true parallelism and reshaping how systems are designed, particularly in data science and AI. This change presents both opportunities and challenges, requiring developers to adapt to new concurrency patterns.
The content provides detailed information about various code files in different repositories, focusing on their characteristics such as language, license type, line length, and content statistics. It highlights repositories related to Python and JavaScript, along with their respective GitHub links for further exploration.
Malicious packages on the Python Package Index (PyPI) have been identified that deliver the SilentSync remote access Trojan (RAT) to unsuspecting users. These packages exploit the trust developers place in PyPI for downloading dependencies, highlighting the need for vigilance and security measures in the Python ecosystem.
The article discusses best practices for deploying Python applications in production environments, emphasizing the importance of proper configuration, monitoring, and performance optimization. It highlights various tools and techniques that can enhance the reliability and scalability of Python applications in real-world scenarios.
Daft is a distributed query engine designed for large-scale data processing using Python or SQL, built with Rust. It offers a familiar interactive API, powerful query optimization, and seamless integration with data catalogs and multimodal types, making it suitable for complex data operations in cloud environments. Daft supports interactive and distributed computing, allowing users to efficiently handle diverse data types and perform operations across large clusters.
Python's str.splitlines() method goes beyond just splitting strings by universal newlines like \n, \r, and \r\n. It also recognizes several other line boundaries, including various control codes and separators, which can lead to unexpected behavior when splitting strings. This highlights the complexity of Unicode and its implications in programming.
SpiderFoot is an open-source OSINT automation tool that offers a comprehensive suite of over 200 modules for data analysis, allowing users to gather and navigate information about various entities like IP addresses, domains, and more. It features both a web-based UI and command-line interface, integrates with numerous APIs, and provides visualizations and extensive documentation, making it a powerful resource for both offensive and defensive intelligence operations. Additionally, SpiderFoot HX offers a cloud-based version with enhanced features for collaborative investigations and monitoring.
pdoc is a tool that automatically generates API documentation based on the Python module hierarchy of a project. It requires no configuration, supports type annotations, and provides features like cross-linking identifiers and an integrated live-reloading web server, with compatibility for numpydoc and Google-style docstrings. The latest release is version 16.0.0, and additional resources are available on its documentation site, PyPI, and GitHub.
Purem is a high-performance computation engine that enhances Python's speed for machine learning applications, offering 100-500x acceleration compared to existing libraries like NumPy and PyTorch. By optimizing operations at a low hardware level with zero Python overhead, Purem addresses bottlenecks in traditional ML workflows, enabling faster execution and seamless integration into existing codebases. It is designed for modern hardware and can significantly reduce computation times for various applications, from fintech to big data processing.
FastMCP 2.0 is a comprehensive framework for building production-ready Model Context Protocol (MCP) applications, offering advanced features like enterprise authentication, deployment tools, and testing utilities. It simplifies server creation for LLMs through a high-level Python interface, making it easy to expose data and functionality while handling complex protocol details. FastMCP stands out with its robust authentication options and support for various deployment scenarios.
MCP-Use is a comprehensive framework for building AI agents and servers using the Model Context Protocol in both Python and TypeScript. It offers features such as MCP agents for multi-step reasoning, clients for connecting to servers, and an interactive web-based inspector for debugging. Users can create custom tools and manage their applications in the cloud, making it suitable for various workflows in AI and web development.
A preview of "Python: The Documentary" was showcased at EuroPython, highlighting the journey of the Python programming language from its inception in the 1990s to its pivotal role in AI and data science. The 90-minute film features key figures in the Python community discussing its challenges, evolution, and significant impact. The full documentary is now available on YouTube.
MottaHunter is an email reconnaissance and validation tool created by the MottaSec team, designed for easy access and use within the security community. It features multi-source email scraping, smart email permutation, SMTP validation, and various configurations for effective email hunting. The tool is intended for educational and authorized security assessments, emphasizing ethical usage and compliance with platform terms of service.
UV is a new package manager developed by Astral that addresses the slow performance issues of traditional Python packaging by utilizing innovative techniques such as a static Rust binary, SAT-solving dependency resolution, and optimized installation processes. These advancements lead to significant speed improvements, enabling developers to create virtual environments quickly and streamline their workflows, ultimately allowing them to focus more on coding rather than managing dependencies.
Tiny Agents in Python allows developers to create agents using the Model Context Protocol (MCP) to seamlessly integrate external tools with Large Language Models (LLMs). The article guides users through setting up a Tiny Agent, executing commands, and customizing agent configurations while highlighting the simplicity of building these agents in Python. It emphasizes the advantages of using MCP for managing tool interactions without the need for custom integrations.
Rust, Python, and TypeScript are emerging as the dominant programming languages due to their strong fundamentals and compatibility with the idea-oriented programming paradigm, which emphasizes a focus on project concepts over specific code syntax. This shift, driven by advancements in AI coding assistants, allows programmers to delegate tasks and streamline the development process while enhancing the importance of type systems and robust ecosystems. The article argues that this new approach makes programming more accessible and less dependent on deep technical knowledge.
Eric J. Ma explores a technique in Python that allows for dynamically changing a function's source code at runtime using the `compile` and `exec` functions. This method can enhance AI bots like ToolBot by enabling them to generate and execute code with access to the current environment, although it also presents significant security risks.
AutoKitteh is a developer platform designed for workflow automation and orchestration using vanilla Python, offering a flexible alternative to no/low-code solutions. It supports self-hosting and a cloud option, providing a scalable serverless environment for various operational needs, along with built-in API integrations and advanced engineering features. The platform is open-source and focuses on durability and reliability for long-running workflows.
Two new Rust-based Python type checkers, Pyrefly and ty, are being compared in terms of speed, goals, and capabilities. While Pyrefly aims for aggressive type inference and is significantly faster than traditional tools like mypy and pyright, ty focuses on gradual type guarantees and also demonstrates competitive performance. Both tools are still in early alpha stages, and their respective approaches to Python type checking highlight distinct philosophies in handling typing errors.
Python's Pandas library has moved away from using NumPy in favor of the faster PyArrow for data processing tasks. This shift aims to improve performance and efficiency in handling large datasets, highlighting a significant change in the way data manipulation is approached in Python environments.
NVIDIA has introduced native Python support for its CUDA platform, which allows developers to write CUDA code directly in Python without needing to rely on additional wrappers. This enhancement simplifies the process of leveraging GPU capabilities for machine learning and scientific computing, making it more accessible for Python users.
Python developers are increasingly adopting type hints to improve code reliability and maintainability as the language evolves from rapid prototyping to production-ready applications. Type hints, introduced through PEP 484, support static type checking, enhance readability, and facilitate smoother collaboration among developers by clarifying data types and reducing runtime errors. By implementing type hints early in projects, developers can scale their applications with greater confidence and efficiency.
Semlib is a Python library that facilitates the construction of data processing and analysis pipelines using large language models (LLMs), employing natural language descriptions instead of traditional code. It enhances data processing quality, feasibility, latency, cost efficiency, security, and flexibility by breaking down complex tasks into simpler, manageable subtasks. The library combines functional programming principles with the capabilities of LLMs to optimize data handling and improve results.
Trackio is a new open-source experiment tracking library from Hugging Face that simplifies the process of tracking metrics during machine learning model training. It features a local dashboard, seamless integration with Hugging Face Spaces for easy sharing, and compatibility with existing libraries like wandb, allowing users to adopt it with minimal changes to their code.
The article discusses methods for executing Python code dynamically, focusing on the use of the `exec()` function. It highlights potential security risks associated with executing arbitrary code and suggests best practices for mitigating these risks, such as using restricted execution environments. Additionally, the article provides examples of scenarios where code execution might be necessary, like in educational tools or interactive applications.
To efficiently insert large datasets into a Postgres database, combining Spark's parallel processing with Python's COPY command can significantly enhance performance. By repartitioning the data and utilizing multiple writers, the author was able to insert 22 million records in under 14 minutes, leveraging Postgres's bulk-loading capabilities over traditional JDBC methods.
Pyrefly is a fast type checker and language server for Python that offers powerful IDE features, enabling users to type check over 1.85 million lines of code per second. It provides instant feedback and lightning-fast autocomplete, enhancing the development experience. Users can connect on Discord for support and share feedback.