Results for “csv”
13 skillsCSV
Generates Python code to batch-translate the English column of tab-separated CSV files while preserving the original Chinese column and output format.
559
Adobe Create Pdfs From Data
Merges CSV/TSV data with an InDesign template to generate personalized PDFs like certificates, badges, and catalogs.
142
Geofeed Tuner
Create, validate, and improve IP geolocation feeds in CSV format with RFC 8805 compliance and opinionated best practices for network operators.
36.2k · bundle
Bulk API Patterns
Implements Bulk API 2.0 REST calls for ingest and query jobs, covering CSV format requirements, locator pagination, and v1 vs v2 selection.
15 · bundle
Polars
Process in-memory datasets with Polars' expression API, lazy evaluation, and parallel execution, including pandas migration patterns and I/O for CSV, Parquet, and JSON.
5
More results
029 How Eebc0870
Guides when to use Salesforce Bulk API 2.0 and provides commands for importing, updating, upserting, deleting, and exporting records, along with CSV format requirements, limits, and error handling.
7 · bundle
Calc
Creates, edits, converts, and automates LibreOffice Calc spreadsheets in ODS format, including formulas, charts, and batch processing.
0 · bundle
Vss Search Archive
Search archived video using natural language, ingest video files or RTSP streams, and manage ingested sources.
2.2k · bundle
Polars
Process tabular data with Polars' expression API, lazy evaluation, and parallel execution for faster pandas-style workflows.
2
Polars
Process in-memory tabular data with a fast, expression-based DataFrame library that supports lazy evaluation, parallel execution, and Apache Arrow semantics.
3
Markitdown
Converts files and office documents to Markdown, supporting PDF, DOCX, PPTX, XLSX, images with OCR, audio with transcription, HTML, CSV, JSON, XML, ZIP, YouTube URLs, and EPubs.
1 · bundle
Ray Data
Process large-scale ML datasets with distributed streaming execution across CPU/GPU, supporting Parquet, CSV, JSON, images, and integration with PyTorch, TensorFlow, and Ray Train.
10.4k · bundle
Ray Data
Process large ML datasets in parallel across CPU or GPU clusters, with streaming execution, multi-format I/O, and integration with Ray Train, PyTorch, and TensorFlow for batch inference and preprocessing pipelines.
3 · bundle