150 个 · 按相关度排序
Inspect FCS files from flow cytometry, a method for measuring cell properties, using FlowIO. Extract measurement data into NumPy arrays, review channel metadata, export tables, and create FCS 3.1 files for downstream work.
中文简介正在准备中。当前显示英语简介。
Optimize scientific Python workloads for NVIDIA GPUs by choosing suitable libraries and reducing bottlenecks. Compare outputs with the CPU version and measure complete processing time, including data transfers, to determine whether the GPU implementation provides a useful improvement.
中文简介正在准备中。当前显示英语简介。
Work with large scientific arrays by storing data in smaller blocks and reading selected portions. Guides compression, cloud storage, format migration, and NumPy, Dask, or Xarray integration while preserving dimensions, units, and other metadata.
中文简介正在准备中。当前显示英语简介。
Use SymPy to simplify expressions, solve equations, and calculate derivatives, integrals, and matrices with exact symbolic results. Specify assumptions, verify solutions, and turn mathematical expressions into numerical functions, source code, or LaTeX output.
中文简介正在准备中。当前显示英语简介。
Use Dask to process tables, numerical arrays, and file collections in pieces across CPU cores or machines. Helps choose data structures, size memory-friendly chunks, coordinate dependent tasks, and diagnose slow or memory-heavy workflows.
中文简介正在准备中。当前显示英语简介。
将GLSL着色器代码片段转换为使用NumPy库的Python代码，处理向量运算、分量访问（Swizzling）及内置函数映射。
中文简介正在准备中。当前显示原文说明。
将GLSL着色器代码片段转换为使用NumPy库的Python代码，处理向量运算、分量访问（Swizzling）及内置函数映射。
中文简介正在准备中。当前显示原文说明。
Inspect supported local scientific files before modeling, summarize structure and missing values, and flag possible data leakage or outlier effects. Produces bounded aggregate reports with identifiers obscured and provides a structured analysis report template.
中文简介正在准备中。当前显示英语简介。
Plan and analyze A/B tests, prepare tabular data, and train and evaluate prediction models. Estimate intervention effects from observational data, track model experiments with MLflow, and translate statistical findings into business decisions.
中文简介正在准备中。当前显示英语简介。
Check mathematical expressions, solve equations, and search bounded ranges for counterexamples using symbolic and numerical libraries. Record assumptions, commands, and results so calculations can be repeated, while keeping computational evidence distinct from general mathematical proof.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
在Python中复现C#的Quaternion.AngleAxis方法，根据角度和旋转轴计算四元数，且不使用numpy.quaternion库。
中文简介正在准备中。当前显示原文说明。
使用Python的Matplotlib和Numpy库，根据用户指定的参数方程绘制莫比乌斯环的三维图形。
中文简介正在准备中。当前显示原文说明。
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
中文简介正在准备中。当前显示原文说明。
Expert en data science (pandas, numpy, scikit-learn, feature engineering, model selection)
中文简介正在准备中。当前显示原文说明。
Data Scientist IA — Expert en data science (pandas, numpy, scikit-learn, EDA, feature engineering, statistical analysis)
中文简介正在准备中。当前显示原文说明。
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
中文简介正在准备中。当前显示原文说明。
在Python中复现C#的Quaternion.AngleAxis方法，根据角度和旋转轴计算四元数，且不使用numpy.quaternion库。
中文简介正在准备中。当前显示原文说明。
使用Python的Matplotlib和Numpy库，根据用户指定的参数方程绘制莫比乌斯环的三维图形。
中文简介正在准备中。当前显示原文说明。
Helps you build similarity search with FAISS to find nearby vectors, numerical representations of data. Covers index selection, saving and loading, GPU use, and tuning search speed, accuracy, and memory consumption for large datasets.
中文简介正在准备中。当前显示英语简介。
将视频或图片转换为彩色字符艺术，也可制作随音乐变化的动画。支持叠加歌词和文字、调整颜色与字符、组合视觉效果，并导出MP4、GIF或连续图片。
Create animated GIFs for Slack emoji and messages from uploaded images or drawn shapes. Adjust dimensions, colors, and frame rate, combine motion effects, and use included validation tools to check the finished file.
中文简介正在准备中。当前显示英语简介。
Design, implement, and review interface animation, from button feedback to drag gestures. When measurement tools are available, analyze recordings to reconstruct timing, easing—how speed changes—and spring motion, then produce code and an implementation specification.
中文简介正在准备中。当前显示英语简介。