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Скачать клипы PyCon Sweden 2018 ↓

PyCon Sweden 2018 opening by chairwoman Anna K. Lindegren

PyCon Sweden 2018 opening by chairwoman Anna K. Lindegren

PyCon Sweden 2018 - lightning talks part 3

PyCon Sweden 2018 - lightning talks part 3

PyCon Sweden 2018 - lightning talks part 1

PyCon Sweden 2018 - lightning talks part 1

PyCon Sweden 2018 - lightning talks part 2

PyCon Sweden 2018 - lightning talks part 2

Opening the PyCon Sweden 2020

Opening the PyCon Sweden 2020

Opening keynote by Lorena Mesa - Now is better than Never...

Opening keynote by Lorena Mesa - Now is better than Never...

Keynote Samira Ali Gomes - PyCon Sweden 2020 Day 1

Keynote Samira Ali Gomes - PyCon Sweden 2020 Day 1

Data Classes, in Python 3.6 and beyond by Alexander Hultnér

Data Classes, in Python 3.6 and beyond by Alexander Hultnér

Keynote: The Ubiquity of Operationalizing Python Models

Keynote: The Ubiquity of Operationalizing Python Models

Fridolín Pokorný - Thoth - how to recommend the best possible libraries for your application

Fridolín Pokorný - Thoth - how to recommend the best possible libraries for your application

Test Fast, Fix More - Property based testing with Hypothesis by Alexander Hultnér

Test Fast, Fix More - Property based testing with Hypothesis by Alexander Hultnér

PyConSE keynote by Emily Bache

PyConSE keynote by Emily Bache

Keynote Alexander Hultnér - PyCon Sweden Day 2

Keynote Alexander Hultnér - PyCon Sweden Day 2

Keynote (Day 1) - Bridging Productivity, Portability, and Performance with Data-Centric Python

Keynote (Day 1) - Bridging Productivity, Portability, and Performance with Data-Centric Python

PyCon Sweden 2019 Opening

PyCon Sweden 2019 Opening

PyCon.DE 2018: Opening - PyCon Crew

PyCon.DE 2018: Opening - PyCon Crew

Asyncio in the Wild

Asyncio in the Wild

Talk(Data - Day 1) -  Make it Simple - Machine Learning in Time Series Forecasting

Talk(Data - Day 1) - Make it Simple - Machine Learning in Time Series Forecasting

Keynote: Stories From Real World Vision Projects by Tess Ferrandez

Keynote: Stories From Real World Vision Projects by Tess Ferrandez

Making sense of ML Black Box: Interpreting ML Models Using SHAP

Making sense of ML Black Box: Interpreting ML Models Using SHAP

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