'python' 검색 결과

Review Python changes against shared team standards to find bugs, missing regression tests, and security issues. Findings are ordered by severity and include file names and line numbers so reviewers can locate each problem.

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• Reviewing Python changes before merging
• Checking that bug fixes include regression tests
• Finding unsafe SQL and exposed secrets

Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Choose a single instance or queue workers, configure secrets and Python task runners, and follow procedures for updates, backups, and recovery.

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• Deploy n8n on a personal VPS with HTTPS
• Set up queue workers for parallel workflow execution
• Update, back up, or restore an n8n instance

Analyze datasets in R or Python, from exploring distributions and missing values to fitting regressions. Produce tables and figures for publication, save scripts and model results, and review the analysis for common problems.

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• Explore distributions, missing values, and relationships
• Run regressions on cross-sectional or panel data
• Export publication-ready regression tables and figures

Build Python code for economic models and policy evaluation, with guidance on choosing libraries, estimating effects, plotting results, and checking robustness. Covers macroeconomic simulation and causal inference, the analysis of cause and effect.

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• Implementing macroeconomic models in Python
• Estimating policy effects with difference-in-differences
• Checking assumptions and robustness in causal analysis

TypeScript, Python, Go의 오류 처리를 설계하고 검토합니다. 오류 분류, 재시도, API 응답과 사용자 안내를 정리하고 개발자용 로그를 구분합니다.

• 새 서비스의 오류 분류를 설계합니다
• 외부 서비스의 일시적 장애를 재시도합니다
• API 오류 응답과 로그를 검토합니다

Browser Use Cloud의 API와 SDK로 브라우저 자동화를 구현하도록 돕습니다. 인증, 세션, 로그인 상태 저장, 기존 에이전트 및 외부 서비스 연동을 안내합니다.

• 앱에 클라우드 브라우저 조작을 추가합니다
• 기존 에이전트가 브라우저를 사용하게 합니다
• 로그인 상태와 브라우저 프로필을 관리합니다

FastAPI로 Python 웹 API를 개발할 때 입력 검증, 오류 처리, 비동기 호출을 정리합니다. 코드 가독성과 응답 성능을 고려한 구현을 지원합니다.

• API 라우트와 입력 검증 설계
• 비동기 데이터베이스·API 호출 검토
• 오류 처리와 로그 정리

Claude가 외부 기능과 데이터를 사용할 수 있도록 MCP 서버를 만듭니다. Python 또는 TypeScript 구현부터 연결 설정과 동작 확인까지 지원합니다.

• Claude에 사용자 정의 도구를 추가합니다
• 외부 API와 연결합니다
• 데이터베이스와 설정 정보를 조회합니다

Build Python workloads on Modal for cloud execution, including GPU model training and inference, web APIs, scheduled jobs, and parallel batch processing. Configure container environments, persistent storage, and automatic scaling through the Modal SDK.

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• Serving an AI model through a web API
• Running model training or fine-tuning on cloud GPUs
• Processing independent batch inputs in parallel

Process DNA, RNA, and protein sequences with Biopython, convert biological files, and retrieve NCBI records. Supports batch workflows for sequence comparison, searches for similar sequences, protein structure analysis, and evolutionary trees.

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• Convert GenBank files to FASTA
• Calculate sequence length and GC content in batches
• Retrieve sequences and publication records from NCBI

Control interactive command-line programs through tmux by sending keystrokes, reading terminal output, and waiting for prompts. Use separate sessions to operate Python consoles or run multiple coding agents while checking their progress and results.

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• Operate an interactive Python console
• Run multiple coding agents in parallel
• Wait for prompts and inspect terminal output

Build text translation into Python applications with Azure AI Translator. Covers translation into multiple languages, language detection, transliteration to another writing system, dictionary entries, usage examples, and asynchronous requests for handling larger workloads.

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• Add multilingual text translation to a Python app
• Detect the language of incoming text
• Convert text between writing systems

Build Python features that identify a speaker’s intent and extract details such as names from conversation text using Azure. Get guidance on request structure, authentication, client cleanup, and exception handling.

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• Adding intent detection to a Python application
• Extracting names and other details from conversation text
• Structuring requests for ConversationAnalysisClient

Write Python code to manage settings in Azure App Configuration. Covers reading, updating, filtering, and locking settings, managing feature flags that switch features on or off, and creating snapshots of configuration values.

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• Read and update shared application settings from Python
• Separate development and production values with labels
• Manage feature flags that enable or disable features

Design and refactor Python components with clear responsibilities and simple structure. Assess when to split large classes, combine objects instead of extending them, and extract shared code without introducing unnecessary abstractions.

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• Defining responsibilities for a new Python component
• Splitting oversized classes and functions
• Deciding when to extract shared code

Build, update, explain, or review Microsoft Agent Framework applications in .NET or Python. The skill guides agent and workflow design using current official documentation and supports migration from Semantic Kernel or AutoGen.

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• Build an agent application in .NET or Python
• Review agent and workflow design
• Migrate from Semantic Kernel or AutoGen

Build a Python system that follows DNS history, domain registration records, and certificate information from known suspicious domains or IP addresses. Map related attack infrastructure, identify shared connections, and monitor for newly discovered domains matching known patterns.

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• Finding related domains from a known suspicious IP
• Mapping attacker command-and-control infrastructure
• Monitoring domains that match known naming patterns

Guides Python agent development with PydanticAI, covering tool calls and structured outputs checked against defined data types. Explains service injection, provider switching, streaming responses, and tests that run without calling a real language model.

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• Building agents that return validated structured data
• Connecting customer support agents to order data
• Testing agent logic without real model calls

Prepare a Python SDK release candidate in a separate working directory, check version metadata and public API compatibility, and produce one local commit with a review report for the release handoff.

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• Prepare a manual Python SDK release candidate
• Check release versions and public API compatibility
• Prepare a release pull request handoff

Control interactive command-line programs through tmux by sending keystrokes, reading terminal output, and waiting for prompts. Use separate sessions to operate Python consoles or run multiple coding agents while checking their progress and results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Operate an interactive Python console
• Run multiple coding agents in parallel
• Wait for prompts and inspect terminal output

Turn an OpenAPI specification into starter code for an MCP server, which connects AI agents to API tools. Support Python or TypeScript implementations, validate tool definitions, and plan changes that preserve compatibility.

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• Exposing an existing REST API to an AI agent
• Creating a Python or TypeScript MCP server scaffold
• Checking tool definitions before integration tests

Build, extend, or review Python FastMCP servers using documentation for the installed version. Design operations that agents can discover and use, then check input definitions, results, error handling, and representative agent workflows.

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• Building an MCP server with Python FastMCP
• Adding tools, resources, or reusable prompts
• Reviewing input definitions and error handling

Create reusable slash commands for Agent Zero using YAML configuration files paired with text templates or Python scripts. It helps choose project or global scope, update existing commands, and report the saved files and exact command to invoke.

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• Turn repeated requests into reusable slash commands
• Create commands available only within a project
• Create commands shared across projects

Helps implement iii workers in Node.js, browsers, Python, and Rust with language-specific guidance on installation, function registration, calls, data channels, and logging. Explains package choices and connection constraints for each environment.

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• Choosing the iii SDK for a runtime
• Implementing asynchronous calls in Python
• Connecting a browser app to backend functions