• Manning | Deep Learning with Python

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• GitHub - fchollet/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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• Google Duplex Demo from Google IO 2018 - YouTube

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• dave yarwood · Taskwarrior, where have you been all my life?

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• Announcing glom: Restructured Data for Python — Sedimental

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• Ask HN: What do you use for diagramming in software engineering? | Hacker News

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• Developers Should Abandon Agile

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• The Best ETL Tools for Migrating to PostgreSQL | Severalnines

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• 26 Practical Demand Generation Strategies For Startups

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• GitHub - jakevdp/PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks

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• swr.de/-/id=18863196/property=download/nid=257024/y6bp6j/index.pdf 2018-May-10
• shakshuka - wirres.net

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• Making mistakes

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• [1804.02602] AstroEBSD: exploring new space in pattern indexing with methods launched from an astronomical approach

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• Sara Misgen auf Twitter: "Or the cappa magna, which has an excessively long train and is usually worn by cardinals… "

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• Packaging and distributing projects — Python Packaging User Guide

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• dask-tutorial-pycon-2018/README.md at master · TomAugspurger/dask-tutorial-pycon-2018 · GitHub

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• UMSE - Menschen (prod. Deckah) - YouTube

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• The Collection of Peggy and David Rockefeller - Matterport 3D Showcase

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• DSGVO-Liste/README.md at master · qbi/DSGVO-Liste · GitHub

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• Warum das Sparen nicht den Kredit begrenzt - Herdentrieb

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• Hollandaise Sauce | Vitamix

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• git/contrib/diff-highlight at master · git/git · GitHub

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• Cory Doctorow: The Engagement-Maximization Presidency – Locus Online

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• Mini World of Bits benchmark

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