Grigory Petrov, Maxim DanilovBest Practice, Coding / Code-Review, Development Methods
top-10 Python complexities and how they are required to fight the "software complexity problem" in big projects
Marysia Winkels, James HaywardTime Series
From inventory to website visitors, resource planning to financial data, time-series data is all around us. Knowing what comes next is key to success in this dynamically changing world. So join us and learn about time series analysis and seasonality modelling.
Jonathan StriebelData Engineering, Performance
Your data analysis pipeline works. Nice. Could it be faster? Probably. Do you need to parallelize? Not yet. Discover optimization steps that boost the performance of your data analysis pipeline on a single core, reducing time & costs.
Bas SteinsDatabases, Django
Leverage the potential of Django ORM to write complex queries, optimize performance and have fun with constraints
Tanmoy BandyopadhyayAlgorithms, Coding / Code-Review, Parallel Programming / Async
Use Python Inter Process Communication and Synchronization techniques effectively
Asya FrumkinAlgorithms, Computer Vision, Neural Networks / Deep Learning
I will explain my approach of detecting texts on top of an image background that are unreadable to people with visual impairment. I will explain the challenges I. encountered when using different OCR architectures for this task and talk about the solution I came up with.
Dr. Hannah BohleCareer & Freelancing
Come as you are: Transitioning from Science to Data Science. How to find your first job in industry after leaving academia.
Sebastiaan ZeeffPython - CPython new features, Python fundamentals
Do you want to dive into the CPython Source Code but feel a bit overwhelmed? Watch Sebastiaan Zeeff demystify CPython's Internals by taking you through the implementation of a new operator.
GathaData Engineering, Ethics (Privacy, Fairness,… ), Governance
Synthetic data not only address the privacy needs but also offer workaround for unprecedented situations. This talk introduces their different types, the options for their generation, and how you don't need to be a mad scientist to make realistic synthetic data
Vaggelis Papoutsellis, Dr. Jakob Sauer JørgensenAlgorithms, Big Data, Math
Core Imaging Library is an open-source, object-oriented Python library for inverse problems in imaging developed by the UK academic network CCPi.
Stefan BehnelBig Data, Parallel Programming / Async, Python - PyPy, Cython, Anaconda
Need fast data access in Python? Use native data structures with Cython!
T-BergerNeural Networks / Deep Learning, Simulation, Time Series
David MelamedCloud, Coding / Code-Review, DevOps, Security
No need to reinvent the CI/CD wheel for every service - learn how to build centralized git workflows for all your repos in Python.
Andre FröhlichArchitecture, Business & Start-Ups, Use Case
This talk will present the journey of a quantitative asset manager from an outdated (non-Python) onPrem research setup to a modern Python-centric cloud research platform. We will examine the requirements and challenges associated with the project and present how we navigated find
Jürgen GmachBest Practice
Scared of a new project? @jugmac00 will show you "How to Find Your Way Through a Million Lines of Code"
Tilman KrokotschBest Practice, Neural Networks / Deep Learning
Write unit tests and learn to trust your Deep Learning code again.
Introduction to OPC-UA and industrial IoT: Liberate machines from the proprietary clutches of Big Hardware with the power of opcua-asyncio
Joey FaulknerBackend, Hardware, Networks
Software around industrial hardware is still highly proprietary, which leads to bad UX and inefficient use of hardware. OPC-UA represents an earnest new start at the world of IIoT, and using opcua-asyncio, we can create this revolution in python.
Efe ÖgeAPIs, Architecture, Backend, Cloud, DevOps, Django
Managing files won't be easier but more obvious after this talk.
Marianne StecklinaBest Practice
A proper CLI would be nice, but you're way too lazy to write it? Join this talk to learn about the open-source library jsonargparse!
DavidBest Practice, Development Methods, Reproducibility
In this workshop, we will learn what it means and how to build an "MLOps workflow" by extending the power of Git and GitHub with open-source tools.
Tarek MehrezAPIs, Architecture, Parallel Programming / Async
Ever wondered when you should favor an async web framework? How do they compare to your good old python services when scaling is in question? Then this is the talk for you
Joris Van den BosscheAPIs, Data Structures
As a pandas user, did you ever run into the SettingWithCopyWarning? Quite likely, and this is one of the more confusing aspects of pandas. But it doesn’t have to be this way! Check my proposal to simplify this aspect of pandas
Adrian BoguszewskiJupyter, Neural Networks / Deep Learning, Performance
Learn how to automatically convert the model using Model Optimizer and how to run the inference with OpenVINO Runtime to infer your model with low latency on the CPU and iGPU you already have. The magic with only a few lines of code.
Sebastian CattesNatural Language Processing, Neural Networks / Deep Learning, Statistics
Can AI understand what drives user engagement? Join our talk "Performing Content: Can NLP and Deep Learning algorithms predict reader preferences?" to find out what NLP can bring to the editorial table.
Valerio MaggioNeural Networks / Deep Learning, Security
Have you ever wondered how to train your @PyTorch model on private data you cannot see? If you want to know how, this is the workshop for you! #PPML cc/ @openminedorg
Aleksander MolakGraphs, Neural Networks / Deep Learning
Practical Graph Neural Networks (GNNs) with Spektral & TensorFlow 🤩
Christian HeimesPython - CPython new features
Compile CPython to Web Assembly, and run it in web browsers or Node.js.
Philipp StephanBest Practice, Development Methods, DevOps, Packaging
After a review of the current state of Python dependency management, we’d like to present a versatile method of using git submodules to handle internal dependencies in a dockerized microservice architecture, where common libraries have to be iterated quickly.
Dr. Kristian RotherBest Practice, Coding / Code-Review, Development Methods
Refactor a space travel game by introducing functions, classes and data structures
Gajendra DeshpandeBest Practice, Django, Security
In this talk, we will focus on two aspects. First, performing penetration testing on Django web applications to identify vulnerabilities and scanning for OWASP Top 10 risks. Second, strategies and configuration settings for making the source code and Django applications secure.
Dr. Thomas WollmannDistributed Computing, Neural Networks / Deep Learning, Parallel Programming / Async
Learn why we built and open sourced a data infrastructure library for deep learning.
Coen de GrootPython fundamentals
Discover the Magic of Python Objects and the 125+ methods that keep them running
Miroslav ŠedivýCoding / Code-Review, Python - CPython new features, Python fundamentals
Should we return to Python 2 or should we get rid of all Python 2 relics from our code?
Sebastian Wanner, Christopher LennanNatural Language Processing, Neural Networks / Deep Learning, Use Case
Transformer based clustering with Sentence-Transformers and Facebook Faiss for an E-commerce use case where we clustered offers to automatically generate new products.
Larissa HaasData Visualization, Ethics (Privacy, Fairness,… ), Transparency / Interpretability
XAI meets NLP - approaches, workarounds and lessons learned while making an NLP project explainable