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Source channel @githubtrending · Post #15158 · Sep 20
#typescript#anthropic#anthropic_claude#claude#claude_4#claude_4_opus#claude_4_sonnet#claude_ai#claude_code#claude_code_sdk#cursor#ide#llm#llm_code#rust#tauri opcode is a powerful desktop app that makes working with Claude Code easier and more visual. It lets you manage projects and coding sessions with a clear interface, create custom AI agents for specific tasks, track your usage and costs, and organize servers all in one place. You can save and restore session checkpoints, view detailed logs, and edit project files with live previews. It runs securely on your computer, keeping your data private, and supports Windows, macOS, and Linux. This tool helps you be more productive and organized when coding with Claude Code by replacing complex command-line work with a user-friendly GUI. https://github.com/winfunc/opcode
Search: #array
@djangoproject · Post #316 · 04/28/2017, 06:09 AM
https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.
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@djangoproject · Post #129 · 08/31/2016, 03:36 PM
https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.