PyData

563 Abonné

PyData is a gathering of users and developers of data analysis tools in Python. PyData aims to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply our language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization. We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.

pydata python data analysis data data analytics data visualization pydata sv 2013 data processing pydata berlin 2014 data science pydata sv 2014 matplotlib cpu numpy ggplot berkeley docker bokeh opencore memcpy blosc continuum machine-learning consumer behavior ipython notebook bitdeli pandas python-hadoop integration scientific computing pytables hdf5

Tout plus

Présentations
Documents
Infographies

Plus récents Les plus populaires

PyData

Understanding your data with Bayesian networks (in Python) by Bartek Wilczynski PyData SV 2014

Introduction to NumPy (PyData SV 2013)

Random Forests R vs Python by Linda Uruchurtu

Bayesian Network Modeling using Python and R

Python as part of a production machine learning stack by Michael Manapat PyData SV 2014

1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jeff Roach

Querying your database in natural language by Daniel Moisset PyData SV 2014

Unsupervised Anomaly Detection with Isolation Forest - Elena Sharova

Transfer Learning and Fine-tuning Deep Neural Networks

Applying Statistical Modeling and Machine Learning to Perform Time-Series Forecasting

Low-rank matrix approximations in Python by Christian Thurau PyData 2014

Gradient Boosted Regression Trees in Scikit Learn by Gilles Louppe & Peter Prettenhofer

How I learned to time travel, or, data pipelining and scheduling with Airflow

An Example of Predictive Analytics: Building a Recommendation Engine Using Python-Anusua Trivedi

Python in the Financial Industry The universal tool for end-to-end development by Felix Fernandez

PyData London Bokeh Tutorial - Bryan Van de Ven

Learn to Build an App to Find Similar Images using Deep Learning- Piotr Teterwak

Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pandas by Kostas Perifanos

Python and MongoDB as a Market Data Platform by James Blackburn

Faster Python Programs Through Optimization by Dr.-Ing Mike Muller