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PythonReactSEOPDF

“Python”的搜索结果

按技能名称、说明或 GitHub 作者匹配的结果。

分类目录: 生活与效率

显示第 217–240 个,共 2,386 个

生活与效率 Python 清除筛选

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GitHub

bio-geo-data

GPTomics

Query NCBI Gene Expression Omnibus (GEO) for expression datasets using Biopython Bio.Entrez. Use for finding microarray/RNA-seq datasets, downloading expression data, and linking GEO to SRA.

GitHub

bio-phylo-distance-calculations

GPTomics

Compute evolutionary distances and build phylogenetic trees using Biopython Bio.Phylo.TreeConstruction. Use for creating distance matrices from alignments, building NJ/UPGMA trees, parsimony analysis, and gener...

GitHub

bio-codon-usage

GPTomics

Analyze codon usage, calculate CAI (Codon Adaptation Index), and examine synonymous codon bias using Biopython. Use when analyzing coding sequences for expression optimization or evolutionary analysis.

GitHub

bio-fastq-quality

GPTomics

Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.

GitHub

bio-alignment-pairwise

GPTomics

Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use for comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DN...

GitHub

bio-sequence-statistics

GPTomics

Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython. Use when analyzing sequence datasets, generating QC reports, or comparing assemblies.

GitHub

bio-restriction-fragment-analysis

GPTomics

Analyze restriction digest fragments using Biopython Bio.Restriction. Predict fragment sizes, get fragment sequences, simulate gel electrophoresis patterns, and perform double digests.

GitHub

bio-pdb-structure-navigation

GPTomics

Navigate protein structure hierarchy using Biopython Bio.PDB SMCRA model. Use for accessing models, chains, residues, and atoms, iterating over structure levels, extracting sequences, identifying residue types,...

GitHub

setup-env

benchflow-ai

When given a Python project codebase, this skill helps the agent to set up virtual environments, install dependencies, and run scripts.

GitHub

temporal-python-testing

benchflow-ai

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests o...

GitHub

uv-package-manager

benchflow-ai

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python d...

GitHub

python-packaging

benchflow-ai

Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, build configuration, metadata, and distribution best practices.

GitHub

python-env

benchflow-ai

Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.

GitHub

fuzzing-python

benchflow-ai

Creating fuzz driver for Python libraries using LibFuzzer. This skill is useful when agent needs to work with creating fuzz drivers / fuzz targets for Python project and libraries.

GitHub

python-json-parsing

benchflow-ai

Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath). Use whe...

GitHub

transit-least-squares

benchflow-ai

Transit Least Squares (TLS) algorithm for detecting exoplanet transits in light curves. Use when searching for transiting exoplanets specifically, as TLS is more sensitive than Lomb-Scargle for transit-shaped s...

GitHub

pypi-server

benchflow-ai

Guidance for creating Python packages and serving them via a local PyPI server. This skill applies when tasks involve building Python packages (with pyproject.toml or setup.py), setting up local package reposit...

GitHub

modal-gpu

benchflow-ai

Run Python code on cloud GPUs using Modal serverless platform. Use when you need A100/T4/A10G GPU access for training ML models. Covers Modal app setup, GPU selection, data downloading inside functions, and res...

GitHub

docx

benchflow-ai

Word document manipulation with python-docx - handling split placeholders, headers/footers, nested tables

GitHub

python-performance-optimization

rmyndharis

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

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