topic: Dev User Experience Revisit

[wey-gu]

Make it extremely useful, yet smooth, elegant and easy.

Phase 0

• Config/SessionPoolConfig should be possible to be omitted, enable one-liner to access and query, via https://github.com/vesoft-inc/nebula-python/pull/323/files#diff-da4517b6eb66b1d80bb6975a7200825a2e896c7b97f4fe87943cc361a211da32 and https://github.com/vesoft-inc/nebula-python/pull/323/files#diff-cb5002afe3dfed88eacf95684dd290ec79d3b7801a53fa634fcc09992555c86f
• Getting Started docs should be straightforward, via feat: ResultSet& ValueWrapper sugars for Graph Visualisation & Data Sci #323
• Should be possible to render/vis any result with ease(like render FIND PATH/MATCH path/GET SUBGRAPH result is HARD), via feat: ResultSet& ValueWrapper sugars for Graph Visualisation & Data Sci #323
• Should be easy to have results as pandas dataframe, via feat: ResultSet& ValueWrapper sugars for Graph Visualisation & Data Sci #323
• Handling of reconnection/timeout etc., via feat: renew session for expiration, re-execute when error #306
• modern package management, via PDM

Phase 1

• Should be easy to prepare query param, instead of handling raw types to be passed, add wrapper/utils to help build paramters #273
• fully typed
• ETL from CSV/Pandas DF Support consuming CSV file directly for import(export?) #261
• Schema reconcile: interface for performing DDL in a block and idempotent way like Apply_XXX by @haoxins in go client/operator schema manager #344
• interface of DML with client-side transaction(optionally)
• Export to network X, iGraph, DGL, PyG in one line
• Render portable html files from resultSet
• Implement same hash func as it was in NebulaGraph, ref: https://gist.github.com/wey-gu/5543c33987c0a5e8f7474b9b80cd36aa
• Client Performance: cython feat: add a cython build option/release #327 or WIR Consider migrating to Rust based Python package? #319
• GraphAR export/import https://github.com/apache/incubator-graphar
• address scheme like nebula://localhost:9669 support

[wey-gu]

cc @Nicole00 @HarrisChu @haoxins