'python' 검색 결과

Build AI applications in Python with Genkit, including conversational agents, generation workflows, streaming responses, and tool use. The skill also guides setup and debugging through traces, recorded details of model inputs, outputs, and actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a chatbot that keeps conversation history
• Implement streaming responses and tool calls
• Investigate Genkit import and API errors

Guide shell, Python, and Node.js execution on the computer running a connected A0 CLI. It explains session reuse, interactive input, output retrieval, and recovery steps when execution permissions, timeouts, or disconnections interrupt the work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run shell commands on the connected A0 CLI host
• Execute Python or Node.js on the host
• Retrieve output or answer an interactive program

Install Scenic, a language for describing scenarios with randomized conditions, into the Python environment used by CARLA. Check command-line tools and version compatibility, optionally download example scenarios and map assets, and save the installation paths.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing Scenic to work with CARLA
• Diagnosing scenario model import failures
• Checking missing vehicle definition tables

Build Python APIs with FastAPI and Pydantic V2, including input validation, database operations that avoid blocking other work, and token-based authentication. Implement REST or WebSocket endpoints, then check their behavior with automated tests and generated API documentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build REST APIs with FastAPI
• Validate input data with Pydantic V2
• Implement JWT authentication and authorization

Use persistent virtual terminal sessions to keep directories and environment variables across commands, interact with Python or database consoles, and answer prompts. The skill explains sending input, reading responses, detecting prompts, and closing sessions when finished.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keep directories and environment variables across commands
• Run a sequence of commands in an interactive Python console
• Interact with mysql or psql consoles

Inspect imports and agent patterns in existing Python code to identify its framework and recommend an Omnigent executor, the component that runs the agent. Explain unsupported frameworks and suggest available next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify the framework used by existing Python agent code
• Choose an executor for Claude SDK or OpenAI Agents SDK code
• Check whether a framework has native support

Continue Python tasks when the sandbox cannot start by switching to run_shell. The workflow covers short scripts, saved script files, library checks, longer timeouts, and output verification for tasks such as PDF generation and data processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continue Python work after sandbox startup failures
• Generate PDFs through shell execution
• Run data processing with required libraries

Continue Python tasks when sandbox execution fails by saving code as a script and running it through run_shell. The workflow covers dependencies, execution checks, and output verification for PDFs, image processing, data analysis, and file operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuing Python tasks after sandbox initialization failures
• Generating PDFs from a saved script
• Running image processing or data analysis through the shell

Resume Python tasks after execute_code_sandbox errors or timeouts by saving the attempted code as a script and running it through run_shell. The workflow includes dependency checks, execution timeouts, and verification of generated files such as Excel reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrying Python code after sandbox errors
• Resuming Excel or CSV generation after a failure
• Running saved scripts with a longer timeout

Run multiline Python code by saving it to a script file before executing it through the shell. The workflow covers working directories, timeouts, error checks, and optional cleanup to make execution easier to debug.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running multiline Python scripts
• Handling scripts with quotes and special characters
• Investigating failed heredoc execution

Recover failed Python tasks by saving the code as a script and running it through the shell. Provides steps to inspect errors and confirm generated files for spreadsheet creation, data processing, and calculations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retry failed Excel or CSV generation
• Resume data transformations after a sandbox error
• Investigate Python errors through shell output

Continue file reading and data processing when read_file or execute_code_sandbox fails. The skill uses run_shell with short Python commands or multiline scripts to inspect files, parse data, and save transformed output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading accessible files after read_file errors
• Inspecting JSON settings through Python
• Checking CSV rows after sandbox execution fails

Recover PDF or DOCX generation when execute_code_sandbox fails with unclear errors. Use run_shell to execute Python directly, check required libraries, report specific failures, and verify that the output file was created.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retry PDF generation after an unclear sandbox error
• Generate DOCX files by running Python through the shell
• Check and install missing document libraries

When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retry Python work through the shell after repeated sandbox failures
• Run longer tasks with an adjusted timeout
• Execute Python work that needs multiple files or system utilities

Debug repeated execution failures by saving Python code to a script file and running it through run_shell. Keep the script available for inspection, review intermediate output and errors, and edit it for another run.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate repeated agent or sandbox execution failures
• Trace data processing with intermediate output
• Edit and rerun a saved Python script

Prepare a Python environment for Mixpanel analysis by installing required libraries and checking credentials and connectivity. Use it for first-time setup, missing dependencies, or guidance on service account and OAuth sign-in options.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a new environment for Mixpanel analysis
• Install missing Python analysis libraries
• Configure service account or OAuth credentials

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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

Extract website content into Markdown, HTML, or plain text with Scrapling. Handle JavaScript-rendered pages and anti-bot challenges, or write Python crawlers that follow links, collect structured data, and resume interrupted runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save article text as Markdown
• Extract content loaded by JavaScript
• Retrieve pages with anti-bot protections

Find Python input/output calls that may stall asynchronous backend work, then fix or guard each relevant path with runtime tests. Verify that tests fail when blocking behavior returns and pass after the fix is restored.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking asynchronous Python changes before a pull request
• Triaging blocking input/output across the codebase
• Adding tests for cleanup and error branches

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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