TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15515 · Feb 21
#typescript GitNexus indexes your codebase into a knowledge graph tracking dependencies, call chains, clusters, and flows, then connects AI agents like Cursor and Claude Code via CLI tools for reliable analysis. Run `npx gitnexus analyze` from your repo root to start—it auto-generates context files and MCP setup. Use tools like `impact` for change risks or `rename` for safe refactors. This boosts your productivity by preventing AI blind edits, cutting debugging time, and enabling smaller models to grasp full architecture fast. https://github.com/abhigyanpatwari/GitNexus
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@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.