Bisherige Konferenzen

Nach den positiven Erfahrungen der PyDays Vienna 2017, PyDays Vienna 2018 und PyDays Vienna 2019 ist in der Wiener Python-Community die Idee entstanden, 2025 eine weitere Python-Konferenz zu veranstalten. Die PyDays 2017-2019 waren erfolgreiche Veranstaltungen. Die Teilnehmerinnen und Teilnehmer konnten Wissen über Python und seine Anwendungen austauschen, Gleichgesinnte treffen und die neuesten Trends diskutieren – und vor allem Spaß haben! Die PyDays Vienna 2017-2019 wurden von den Linuxwochen Wien an der FH Technikum Wien organisiert.

Hier findest du einige Eindrücke:

PyDays Vienna 2017

Photos 2017 (CC-BY-NC-SA)

SciPyWomen und PyDays 2018

Programmpunkte der bisherigen Konferenzen:

2017

  • Oh, I Found a Security Issue (Markus Holtermann, Florian Apolloner)
  • Teach Python to (Your) Children (Horst Jens)
    (links from speech at PyConSK but i am sure its nearly the same speech)
  • Using Python for industrial prototypes (Artem Revenko)
  • Python Automation – A Case Study (Maciej Skorski)
  • Wie alle bei Open-Source mitspielen können (Christoph Schindler)
  • Cardiac image analysis in Python (Jan Margeta)
  • This is Plone (Johannes Raggam)
  • Integration of Geoprocessing Tools in QGIS (Anita Graser)
  • Workshop: Natural Language Processing in Journalism (Yian Shang)
  • Algorithmic Trading with asyncio (Vita Smid)
  • Topic Modelling and Text Analysis with Gensim (Bhargav Srinivasa)
  • Writing Code Analysis the Easy Way (Lasse Schuirmann)
  • 4 Steps to a Project Your Users Will Love (Sebastian Latacz)
  • Async Web development, present day (Anton Caceres)
  • Parallel Computing with Dask (Christian Aichinger)
  • GitMate (Fabian Neuschmidt)
  • Lessons from dockerizing a Python service (Sebastian Nozzi)
  • Migration to Python 3 in Finance (Thomas Aglassinger)
  • SageMath and Cython (Harald Schilly)
  • Workshop: Text Analysis with Gensim (Bhargav Sirinivasa)
  • Linespots (Maximilian Scholz)
  • Practical machine learning for everyday web apps (Dražen Lučanin)
  • The Perfect Home (Thomas Moser)

2018

Erster Tag: 04.05.2018
  • Python for Social Good (Dražen Lučanin)
  • ZODB: A graph database for Python Developers (Christopher Lozinski)
  • Guidance for Successful SaaS Architecture in Python (Armin Ronacher)
  • Python on the blockchain (Daniel McDonald)
  • Reproducible data science using virtual environments (Clemens Zauchner, Günther Doppelbauer)
  • Python and Web Sockets(Anton Caceres)
  • Machine Learning on Source Code (Vadim Markovtsev)
  • Tracking Reproducible Revisions in PostgreSQL with Psycopg2 (Miroslav Šedivý)
  • Analyzing GitHub, how developers change programming languages over time (Waren Long)
  • Pyware – A generic Pythonic REST API client (Duc-Hung Le)
  • Easy Wardriving with IoT(Martin Schmiedecker)
  • Selinon – Distributed dynamic task flows(Fridolín Pokorný)
  • Pragmatic Introduction to Python Unit Testing(Workshop)
  • GNU Radio Where Python meets radio waves (Pero)
  • Open Election Data API with Django (Offene Wahlen AT) (Stefan Kasberger)
  • Python in Game Development(Thomas Perl)
  • Machine vision in Python (Jan Margeta)
  • Autotrading with a synthetic market: AI-driven back-testing environment (Larisa Chizhova)
  • Humanizing among coders (Ana Balica)
  • Distributing Machine Learning Tasks with Python (Matt)
  • Data Science App Development with Jupyter (Barbara Pretzner (Exputec))
Zweiter Tag: 05.05.2018
  • Washing away code smells (Yenny Cheung)
  • Industrial Machine Learning (Alejandro Saucedo)
  • Introductory Data Analysis with Python(Christine Koppelt, Stefan Seelmann) (Workshop)
  • Transitioning a research group and laboratory to using Python (Christoph Buchner)
  • Enterprise CMS mit Plone 5.1 Ein Überblick: UI, OOTB-Features, Erweiterung, Anpassung (Jens W. Klein)
  • Unicode Or why py3k was necessary (Lukas Prokop)
  • Feeding a real-time user interface (Vita Smid)
  • Teaching AI about Human Knowledge (Ines Montani)
  • Python & QML bringing the best of both worlds together (Lukas Hetzenecker)
  • A Mindblowing Number of Tiny Pixels (adrian.buerli@ims.co.at)
  • Analysing natural languge feedback using Python (Thomas Aglassinger)
  • Deploying Python with Docker, CircleCI, and Kubernetes (Matt) Workshop
  • Fooling the Computer Eye Manipulating images to make an algorithm misclassify them (L. Gjeltema)
  • PoolParty APIs (Artem Revenko)
  • Unsafe at Any Speed (Rae Knowler)
  • Deploying your application with Ansible or: Keep your hands away from the console (Florian Apolloner)
  • How to fail at teaching Python Insights of 12 years of teaching Python to children of all ages (Horst JENS)
  • ReportBro: Python Reporting Toolkit PDF and Excel reports for the web (Alexander Hartmann)
  • Cloud-native Python Running Python apps on Openshift (Vadim Rutkovsky)

2019

Erster Tag: 03.05.2019
  • import bacon The standard library modules you never knew you needed (Ivana Kellyerova) slides: https://www.amarion.net/misc/import-bacon-pydays.pdf
  • asyncio introduction & exercises (Martin Natano,Ivana Kellyerova) files/slides: asyncio workshop: https://www.natano.net/static/data/workshops/pydays2019/ (all 4 files are interesting, there’s the slides as well as the exercises and solutions)
  • Hi *AI, do you speak Python? (Kamila Stępniowska)
  • Semantic Containers for Data Mobility (Christoph Fabianek)
  • Free Stuff For Devs (Stefan Karner, Georg Petz)
  • Intro to Python Ctypes(Philipp Schindler)
  • The Apprentices Enthusiastic Guide to pandas (Ingrid)
  • Compiling for fun and profit! (Dario Meloni)
  • MovingPandas (Anita Graser)
  • Introduction to Reinforcement Learning (Daniel Pasterk)
  • Lightning Talk: An Electron Printer for Masks (Thomas König)
  • From Jupyter notebook to worldwide use (Patrick Sagmeister)
  • Analysing 200 Years of Political Debate (Maryam Ahmed)
  • Lies they told you about OOP (Janos Pasztor)
  • Surpassing the R vs Python dogma (Clemens Zauchner, Dana Jomar)
  • Bias in AI (Katrin Strasser)
  • Hydrogen & Pweave – A better Jupyter Notebook? (Christoph Bodner)
  • Distributed computing with Ray (Jan Margeta)
  • Women in Tech Initiatives Meetup (jackie)
  • Co-Mentoring Program Women on Data (Mari Plaza, Laura Vana)
Zweiter Tag: 04.05.2019
  • Typos Correction in Code Identifiers (Irina Khismatullina)
  • Detection of precipitating clouds based on optical satellite sensors using Machine Learning (Apostolos Giannakos)
  • Using the micro:bit to inspire students (Luke Spademan)
  • Building a Bitcoin trading bot in Python (Anton Pirker)
  • Introduction to Information Security with Python (Carina Karner)
  • How to fake properly (Rainer Schuettengruber)
  • Lightning Talk: Python LikeABosch (Martin Schmiedecker)
  • Die Krux mit der Kryptografie – Alles eine Frage der Implementierung? (Maha Sounble)
  • Python Beginner Workshop Get to learn the language (Thomas Perl)
  • Refactoring in Python (Tin)
  • Get native with Cython (Stefan Behnel)
  • nibbler Runtime bytecode optimisation (Philip Trauner)
  • A Day Has Only 24±1 Hours (Miroslav Šedivý)
  • Helpful logging with Python (Thomas Aglassinger)
  • Deploying Python with Docker, CircleCI, and Kubernetes (Matt)
  • Mypy: do you even type, buddy? (Philipp Konrad)
  • Lint your code responsibly! (Ania Kapuścińska)