~/talks

Valerio Maggio

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titleconferencedate
The `__magic__` of the Python Model for Magic™ dataPyCon Italia 20232023-05-25
Shows how the Python data model and dunders turn messy Scryfall JSON into typed abstractions: namedtuples, enums and dataclasses that implement __getitem__ and…
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Pythonic `functional` (`iter`)tools for your data challengesPyCon US 20232023-04-19
Nowadays Python is very likely to be the first choice for developing machine learning or data science applications. Reasons for this are manifold, but very…
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Rethinking Data Visulisation with PyScriptPyData London 20222022-06-17
Claim: run Python in the browser as a usable data‑science platform. Implementation: Pyodide via WASM underlies PyScript, with a pyenv YAML loader, micropip and…
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PPML: Machine Learning on Data you cannot seePyCon DE & PyData Berlin 20222022-04-11
Claim: you can run ML on data you cannot see, but with caveats — demos show concrete limits and fixes. Uses PyTorch, reconstructed faces from an overfitted…
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Ten Steps to KerasPyData London 20172017-05-05
Ten Jupyter notebooks walk through concrete Keras code: ten Jupyter Notebooks show building an MLP, CNN, RNN, transfer learning and fine‑tuning, ResNets…
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Machine Learning Under TestEuroPython 20152015-07-20
Shows concrete testable claims and code: uses numpy.testing and unittest.mock for numeric assertions, inspects np.finfo(eps) and assert_array_almost_equal…
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Semantic Python: Mastering Linked Data with PythonPyData Berlin 20142014-07-25
Claims that rdflib lets Python code create, query and persist RDF graphs, demonstrates rdflib + NetworkX integration by crawling FOAF data, running SPARQL…
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