'python' 검색 결과

Implement or modify Composio's Python SDK, the code used to integrate its features into Python applications. Covers tools, sessions, authentication settings, connected accounts, client integration, and shared models under python/composio.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement or modify Python tools and toolkits
• Update session and authentication behavior
• Revise client integration and shared Python models

Install the CARLA Python client into a chosen Python environment using bundled packages or PyPI. The skill checks existing installations, selects a suitable package, and verifies imports and version compatibility with a reachable simulator.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up the Python client for a downloaded CARLA release
• Install a client for a remote simulator
• Resolve a cannot import carla error

Prepare an isolated Python environment for SageMaker deployments and AWS automation. The skill selects a supported Python version, installs current AWS packages, and checks versions so installation and execution use the same environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a Python environment for SageMaker deployment
• Separate AWS automation dependencies from system Python
• Check installed AWS package versions

Create, modify, test, or package Python provider adapters, the components used for framework connections. Work covers framework dependencies, public imports, type inference, and provider metadata within python/providers, with a referenced workflow to consult before changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create or modify a Python provider adapter
• Adjust framework-specific dependencies and public imports
• Work on type inference and provider metadata

Write Python for n8n Code nodes to transform, filter, aggregate, and validate workflow data. Get guidance on reading input items, returning the required JSON structure, using standard library modules, and avoiding common errors within n8n's Python execution modes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transforming and filtering data in n8n with Python
• Calculating totals and basic statistics
• Extracting and validating text with regular expressions

Choose and run checks for Python SDK changes using nox, Makefile targets, Ruff, mypy, and pytest markers. It supports adding tests, diagnosing CI issues, and checking basic behavior, type inference, and builds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding tests for Python SDK changes
• Diagnosing Python CI issues
• Checking SDK and provider changes

Answer Python questions and write code using examples fetched from pythonsheets.com. Find patterns for syntax, asynchronous tasks, networking, databases, machine learning, and distributed computing, or use topic-based questions to prepare for Python interviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing for Python interviews
• Learning asyncio through examples
• Writing a socket server

Set up Python projects with uv, manage required packages, and create isolated environments for each project. Covers Python versions, dependency updates, migration from existing tools, and lockfiles that record package versions for repeatable installations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a new Python project
• Migrate existing package management to uv
• Manage Python versions and isolated environments

Run Python through run_shell when execute_code_sandbox fails unexpectedly. The skill explains how to pass multiline code using a heredoc, a shell syntax for inline text, then check standard output and error messages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continue Python work after an unknown sandbox error
• Pass multiline Python code to run_shell
• Check Python availability with a simple print statement

Run Python through a saved script when execute_code_sandbox or shell_agent repeatedly fails. The workflow writes code to a file, executes it through run_shell, and checks errors and expected outputs such as spreadsheets or documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrying Python tasks after execution tools fail
• Creating Excel files with a saved Python script
• Checking error output and generated files

Write, review, and refactor Python code using PEP 8 style conventions, type hints that describe expected data types, and clear error handling. Includes package organization and memory-conscious patterns to support readable, maintainable applications.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Python code for readability and style
• Adding type hints and improving error handling
• Organizing Python packages and modules

Python 실행을 멈춰 변수와 코드 흐름을 살펴보며 버그 원인을 추적합니다. 예외 발생 당시의 상태와 실행 중인 프로세스도 확인할 수 있습니다.

• 실패한 Python 테스트의 변수를 확인합니다
• 예상하지 못한 상태 변화를 추적합니다
• 예외 발생 당시의 상태를 조사합니다

Set up a Python environment inside the project and install its packages. Follow existing environment tools when present, avoid changing the system Python, and provide commands that work from a fresh shell.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up an environment for a new Python project
• Install packages into an existing project environment
• Resolve an externally-managed-environment installation error

Write small, reproducible Python scripts and run them in a sandbox using execute_python. Check the script's logic and output, then report the actual results or errors while clearly distinguishing executed results from code that has not been run.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a Python script's logic
• Confirming actual output from a short script
• Reproducing an error with minimal code

Review Python code for common mistakes in error handling, asynchronous operations, type annotations, and tests. Use a practical checklist and correction examples to guide code reviews, investigate bugs, and improve existing implementations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Python code before a merge
• Investigating bugs caused by common coding mistakes
• Refactoring legacy Python code

Develop and verify changes to Apache Beam's Python SDK. Set up a virtual environment, run tests, build installable packages or containers, and run data processing pipelines with the modified SDK.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up an Apache Beam Python SDK development environment
• Run unit and integration tests for SDK changes
• Build SDK packages and container images

Diagnose Python script failures by showing error output and exit codes alongside the working directory and file listing. Use these clues to investigate missing files, missing modules, permission errors, or scripts that produce no output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating Python failures during automated execution
• Checking file paths after a FileNotFoundError
• Diagnosing Python failures in CI/CD pipelines

Package Python apps as Windows installers using Nuitka and Inno Setup. Review compilation settings, remove unnecessary files, and analyze DLLs, shared library files, to reduce package size and improve startup behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a Windows installer for a Python desktop app
• Find large dependencies and reduce distribution size
• Investigate apps that fail on a clean Windows system

Measure Python execution time and memory use to locate slow or resource-heavy code. Use profiling results to guide improvements in data structures, caching, input and output operations, algorithms, and parallel processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding slow functions in Python applications
• Reducing memory use and investigating leaks
• Improving data processing and database queries

Turn Python code into installable libraries or command-line tools. The skill guides project structure, package metadata, dependency settings, building wheel and source archives, and publishing releases to PyPI or private package repositories.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Packaging a Python library for distribution
• Creating an installable command-line tool
• Building wheel files and source archives

Set up a Python project with AWS CDK, a toolkit for defining cloud infrastructure in code. Follow guidance on prerequisites, AWS credentials, virtual environments, dependencies, template generation, deployment preparation, and reviewing changes before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up a new Python project for AWS CDK
• Preparing a virtual environment and dependencies
• Generating templates and reviewing deployment changes

Add or verify model support in SGLang's Rust processor so chat requests produce the same prompt text and token IDs as Python. Use reference-generated test cases to find differences in tools, reasoning settings, conversation history, and errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding model support to sglang-processor
• Porting model rendering from sgl-router
• Rechecking prompt behavior after a Dynamo update

Prepare Python SDK releases by updating versions, package metadata, pinned dependencies, lockfiles, and build workflows. The skill covers release process changes and publication verification, helping agents handle packaging work within the repository’s release procedures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a Python SDK release
• Updating pinned dependency versions
• Changing packaging metadata and build workflows

Run Python through the shell when a code sandbox fails to start or connect. Uses a heredoc, a way to pass multiline code, with examples for generating charts, Word documents, and processed JSON files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continue Python work when the code sandbox is unavailable
• Create a graph image from Excel data
• Generate a Word document with headings and a table