On October 24th until 26th 2018, I attended my second german Python Conference (PyCon.DE) in Karlsruhe. During the three days venue, I've met many interesting persons and attending interesting talks. In this article, I would like to write down the list and the take- away messages from the conference, so that in future I can recap it again.
List of the Talks and Workshop
These are the list of the talks and workshops that I attended during the three days:
- Digital Cultural Techniques by Peter Weibel
- Introduction and practical experience about Quantum Computing using the Python libraries from IBM and Google by Dr. Andreas Riegg
- Developing ecommerce platform with Django Oscar by Alexander Gaevsky
- Scalable Scientific Computing using Dask by Uwe L. Korn
- Active Learning - Building Semi-supervised Classifiers when Labeled Data is not Available by Dr. Hendrik Niemeyer
- Script, Library, or Executable: You can have it all! by Luke Lee
- Testing in Python - The Big Picture by Niklas Meinzer
- About going Open-Source by Tim
- Looking backward, looking forward by Wes McKinney
- Understanding Neural Networks by Playing Games by Sidharth Ramachandran
- Satellite Image Segmentation Photovoltaic Potential Estimation by Johannes Oos
- Interactive Visualization of Traffic Data using Bokeh by Dr. Patrik Hlobil
- Python on the blockchain: Triumphs and tribulations in a crypto startup by Daniel and Lorb
- Observe all your applications by Christoph Heer
- Microservices from the trenches: how we delivery fancy sofas across Europe by Christian Barra
- scikit-image by Emmanuelle Gouillart
- Concurrency in Python - concepts, frameworks and best practices by Stegan Schwarzer
- Enabling the chip technologies of tomorrow by Tim Hoffmann
- Cython to speed up your Python code by Stefan Behnel
- Lightning Talks
The other talks can be watched in each talks by clicking the title in the PyCon.DE schedule.
My take aways
- The first talks from Peter Weibel gave me very interesting topics about evolution and philosophy of the digital world. He described and showed some overview of the publication of the famous scientific research such as from Gottfried Wilhelm Leibniz, Isaac Newton, Joseph-Luise de Lagrange, George Boole, Alan Turing, Claude Elwood Shannon, Axel Thue, Heinrich Hertz.
- He talked about the reversibility of the current digital age, that things and data are reversible.
In the analog world the relation between things and symbols has been irreversible. In the digital world, the relation between words, images, sound and data, even between things and data, is reversible. ~ Peter Weibel.
Introduction and practical experience about Quantum Computing using the Python libraries from IBM and Google
- Short interesting overview about qubits (quantum bits) and how a quantum computer calculates an operation compared to the classical computer.
- Overview of the components of a current quantum computer which is very fragile and still challenging due to the temperature.
If in future I need to process a big data, the take away is that Dask is somehow better than Spark.
Very nice talks that gives some tipps how to build and publish Python scripts, packages, libraries, GUI application and executables.
- The creator of the open-source
- Knowing his motivation and the challenges of working in a big open source project
- Scenarios of funding of an open-source software
Very nice tutorial to use Bokeh for visualization.
- Speed up Python Code in CPython.
- Tutorial how to convert Python for loop to C-based for loop.
- Tutorial how to call C memory allocation using
from libc.stdlib cimport malloc, free cdef int* c_mem = <int*>malloc(20*sizeof(int)) if not c_mem: raise MemoryError() free(c_mem)