161 тысяч подписчиков
4 тысяч видео
Saradindu Sengupta - How can a learnt ML model unlearn something: Framework for "Machine Unlearning"
Dr. Kristian Rother - Best Practices for Debugging
K Jarrod Millman - Complex network analysis with NetworkX| PyData Global 2020
Turning Pandas DataFrames to Semantic Knowledge Graph - Cheuk Ting Ho | PyData Global 2021
Sumit Kumar - In database Machine Learning with Python in SQL Server
Sylvain Marié: `python-m5p` - M5 Prime regression trees in python, compliant with scikit-learn
Bruno Vollmer: BLE and Python - How to build a simple BLE project on Linux with Python
Sara Iris Garcia - API development for data analysts/scientists with FastApi | PyData Global 2023
RESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro
Juan Luis- Expressive and fast dataframes in Python with polars | PyData NYC 2022
Chris Fregly - High-Performance Distributed Tensorflow
Kyle Kelley - To the Future with Jupyter
Niels Zeilemaker | Deploying Python models to production
samsja: Modern typed python - dive into a mature ecosystem from web dev to machine learning
Attacking Clustered Data with a Mixed Effects Random Forests Model in Python - Sourav Dey
Jeff Hale - Supercharge your Python code with Blocks | PyData NYC 2022
Pavel Minaev: Mixed language Python & C++ debugging with Python Tools for Visual Studio
Pavithra Eswaramoorthy & Jaime Rodríguez-Guerra - Ensuring Runtime Reproducibility in Python
Mark Mikofski | Carousel A Python Model Simulation Framework
Faceoff Fun with Python Frameworks: FastAPI vs Flask 2.0 - Tonya Sims | PyData Gloal 2021
Andrew Knight | Testing is Fun in Python!
Bobur Umurzokov - Build AI-powered data pipeline without vector databases | PyData Global 2023
Ben Zaitlen - Odo - Shape Shifting Data—A Handy Tool to Guide You from CSV HDFS and Beyond
TileDB and the New Data Economics - Stavros Papadopoulos | PyData Global 2021
Build Data-driven Applications Directly From Your Pandas or Xarray Pipelines | PyData Global 2021
Jordi Deu-Pons - Running jupyter notebook remotely in a docker swarm cluster
Serving BERT Models in Production with TorchServe | PyData Global 2021
James McCaffrey: Swarm Intelligence Optimization using Python
Jose Quesada - A full Machine learning pipeline in Scikit-learn vs in scala-Spark: pros and cons
Brian Granger and Jonathan Frederic - IPython Interactive Widgets, Part 2
Webscraping Responsibly for Social Science Research - Graham MacDonald
Adrian Boguszewski - Beyond the Continuum: The Importance of Quantization in Deep Learning
Jay Chia - Blazing fast I/O of data in the cloud with Daft Dataframes | PyData Global 2023
Jacob Schreiber | Pomegranate: fast and flexible probabilistic models in python
Jacob Tomlinson - Accelerating fuzzy document deduplication to improve LLM training w/ RAPIDS & Dask
Ramona Sartipi - When Design Thinking Meets Opensource | PyData Global 2023
Daniel Kirsch - Functional Programming in Python
Alexander Hendorf - Introduction to Data-Analysis with Pandas
Abubakar Abid - Keynote: Building Machine Learning Apps in Python with Gradio | PyData Global 2023
Kyran Dale - Getting it out there: Python, Javascript and Web-visualizations
When performance matters: running a real-time computer vision pipeline| PyData Eindhoven 2021
Faster Pandas: Make your code run faster and consume less memory| Miki Tebeke, CEO 353solutions.
Maria Navarro: Quantifying uncertainty in Machine Learning predictions | PyData London 2019
Sylvain Bellemare: Learning to use Docker for development
Steve Holden - Iterables and Iterators: Going Loopy With Python
Francesc Alted - Btune: Making Compression Better | PyData Global 2023
Femi Anthony | Creating Python Data Pipelines in the Cloud
Blackwood & Vidos - Creating Interactive, Animated Reports in Streamlit with ipyvizzu |PyData Global
Heidrich, Kiraly, & Ray - sktime - python toolbox for time series | PyData Global 2023
Ngesa Marvin - Keras (3) for the Curious and Creative | PyData Global 2023
Lucas Durand - Building an Interactive Network Graph to Understand Communities | PyData Global 2023
