Keynotes
Talks
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Accelerating Differential Equations in R and Python using Julia's SciML Ecosystem, by Chris Rackauckas
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An introduction to DataFrames.jl for pandas users, by Bogumił Kamiński
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Autonomous Vehicles See More With Thermal Imaging: Multi-modal thin cross section Object Detection, by Laisha Wadhwa
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Basic Pitfalls in Waveform Analysis, by Yukio Okuda
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Bayesian Decision Science: A framework for making data informed decisions under uncertainty, by Ravin Kumar
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Better Code for Data Science, by Alexander CS Hendorf
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Building Large-Scale Multilingual Fuzzy Matching Framework, by Abdulrahman Althobaiti
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Building a Successful Data Science Team, by Justin J. Nguyen
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Building fairer models for finance, by Andrew Weeks
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Building one (multi-task) model to rule them all!, by Nicole Carlson and Michael Sugimura
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COVID-19 Visualizations, the Good, the Bad and the Malicious, by Rongpeng Li
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Cardinal: A metrics based Active Learning framework, by Alexandre Abraham
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Climate Change: analyzing remote sensing data with Python, by Luis Lopez
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Complex Network Analysis with NetworkX, by K. Jarrod Millman
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Computational Social Science with Python, and how Open Source transforms Academia and Research, by Bhargav Srinivasa Desikan
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Data processing pipelines for Small Big Data, by Esteban J. G. Gabancho and Anthony Franklin, PhD
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DevOps for science: using continuous integration for rigorous and reproducible analysis, by Elle O'Brien
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Dirty Data science: machine-learning on non-curated data, by Gaël Varoquaux
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Ensemble-X: Your personal strataGEM to build Ensembled Deep Learning Models for Medical Imaging, by Dipam Paul and Alankrita Tewari
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Entity matching at scale, by Lorraine D'almeida
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Feature drift monitoring as a service for machine learning models at scale, by Keira Zhou and Noriaki Tatsumi
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FlyBrainLab: An Interactive Open Computing Platform for Exploring the Drosophila Brain, by Mehmet Kerem Turkcan, Aurel A. Lazar and Yiyin Zhou
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Games, Algorithms, and Social Good, by Manojit Nandi
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Geometric and statistical methods in systems biology: the case of metabolic networks, by Haris Zafeiropoulos and Apostolos Chalkis
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Growing Machine Learning Platforms in the Enterprise, by Hussain Sultan and Ben Lindquist
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Hosting Dask: Challenges and Opportunities, by Matthew Rocklin
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How to guarantee your machine learning model will fail on first contact with the real world., by Jesper Dramsch
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How to review a model, by Andy R. Terrel
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Inventing Curriculum using Python and spaCy, by Gajendra Deshpande
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Is a neural network better than Ash at detecting Team Rocket? If so, how?, by Juan De Dios Santos
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Leveraging python and open-source for data-science on the buy-side., by James Munro
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ML-Based Time Series Regression: 10 concepts we learned from Demand Forecasting, by Felix Wick
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Meditations on First Deployment: A Practical Guide to Responsible Data Science & Engineering, by Alejandro Saucedo
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Modelling the extreme using quantile regression, by Massimiliano Ungheretti
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Modern Time Series Analysis with STUMPY, by Sean Law
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Monitoring machine learning models in production, by Arnaud Van Looveren
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Open Source Fairness, by Aileen Nielsen
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Opening the Black Box, by Ben Fowler and Chelsey Kate Meise
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Ordinary viDeogame Equations: Winning games with PyMC3, sundials and numba, by Adrian Seyboldt
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Parallel processing in Python: The current landscape, by Aaron Richter
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Quickly deploying explainable AI dashboards, by Oege Dijk
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Responsible ML in Production, by Catherine Nelson and Hannes Hapke
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Rethinking Software Testing for Data Science, by Eduardo Blancas
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Safe, Fair and Ethical AI - A Practical Framework, by Tariq Rashid
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Scalable cross-filtering dashboards with Panel, HoloViews and hvPlot, by Philipp Rudiger and James A. Bednar
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Separation of ~concerns~ scales in software, by Thomas A Caswell
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Skinny Pandas Riding on a Rocket, by Ian Ozsvald (PyDataLondon)
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Snap ML: Accelerated, Accurate, Efficient Machine Learning, by Haris Pozidis and Thomas Parnell
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Speed Up Your Data Processing: Parallel and Asynchronous Programming in Data Science, by Chin Hwee Ong
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Streamlit: The Fastest Way to build Data Apps, by Steven Kolawole
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Supercharge Scientific Computing in Python with Numba, by Ankit Mahato
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Taking Care of Parameters So You Don’t Have to with ParamTools, by Hank Doupe
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Taking a Close Look in the Mirror: Data Literacy for Data Experts, by Laura J Ludwig
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The Big Benefits of Small Data, by Christopher Lozinski
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Thrifty Machine Learning, by Rebecca Bilbro
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TimeSeries Forecasting with ML Algorithms and there comparisons, by Sonam Pankaj
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Transformation from Research Oriented Code into Machine Learning APIs with Python, by Tetsuya Jesse Hirata
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Uncertainty Quantification for Online Learning via Hierarchical Incremental Gradient Descent, by Vihan Singh
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Uncertainty Quantification in Neural Networks with Keras, by Matias Valdenegro-Toro
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Using Algorithm X to re-analyse the last UK general election, by Alex Glaser
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Using EOLearn to build a machine learning pipeline to detect plastics in the ocean., by Stuart Lynn
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Visions: An Open-Source Library for Semantic Data, by Ian Eaves and Simon Brugman
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Visual data: abundant, relevant, labelled, cheap. Pick two?, by Irina Vidal Migallon
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What Lies in Word Embeddings, by Vincent D. Warmerdam
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What cyber security can teach us about COVID-19 testing, by Hagit Grushka - Cohen
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What's new in pandas?, by Joris Van den Bossche and Tom Augspurger
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When features go missing, Bayes’ comes to the rescue, by Narendra Mukherjee
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Why I didn’t use deep learning for my image recognition problem, by Liucija Latanauskaite
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ipywidgets for Education! Using Jupyter tools to make Math Visualization applets for the classroom, by Chiin-Rui Tan
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pandas.(to/from)_sql is simple but not fast, by Uwe Korn
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pyodide: scientific Python compiled to WebAssembly, by Roman Yurchak
Tutorials
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A Gentle Introduction to Multi-Objective Optimisation, by Eyal Kazin
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Beautiful (ML) Data: Patterns & Best Practice for effective Data solutions with PyTorch, by Valerio Maggio
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Computer shows why: Visualizing deep learning for fun and profit, by Eyal Gruss
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Exploratory Data Analysis with Pandas and Matplotlib, by Allen Downey
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From 0 to Virtual Assistant (now with Human Handoff!), by Karen Palacio, Florencia Alonso and Brandon Janes
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Humble Data - Beginners Workshop for Minorities, by Cheuk Ting Ho, Sandrine Pataut and Dani Papamaximou
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Mine your own data - Analyze your Facebook Timeline, by Isabel Yepes
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Panel: Dashboards for PyData, by James A. Bednar
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Probability Calibration: Latest Techniques, by Brian Lucena
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Scaling Up Your Data Work With Dask, by James Bourbeau and Hugo Bowne-Anderson
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Solving large-scale inverse problems in Python with PyLops, by Matteo Ravasi, Ivan Vasconcelos and David Vargas
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Why and What If – Causal Analysis for Everyone, by Bruno Gonçalves
Short Talks
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A Unified API Wrapper to Simplify Web Data Collection, by Pei Wang and Weiyuan Wu
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A crash-update to lifelines, by Cameron Davidson-Pilon
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Accelerating Text Processing With RAPIDS, by Vibhu Jawa
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Asynchronous fsspec file operations, by Martin Durant
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Creating a data-driven culture: a social perspective, by Jordi Contestí
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Crowdsource a Distributed Organizations Data Model, by Christopher Lozinski
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Data Visualization & Storytelling, by Jose Berengueres
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Enquiry-Based Learning for Science and Engineering utilizing Bokeh, by Raghuram Thiagarajan, Anna Moragne, Brian Lucas and Srinivas Rangarajan
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Gaussian Process Fitting: let the data guide you!, by Tomás Müller
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Indian Sign Language Recognition(ISLAR), by Akshay Bahadur
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Learning from your (model’s) mistakes, by Simona Maggio
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Lessons from a Nuclear Core Loading Quantum Algorithm Study, by Colleen M. Farrelly and Joseph Fustero
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Matrix Profile API: A novel cross language time-series mining library, by Tyler Marrs and Andrew Van Benschoten
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NLP in Spanish, alternatives and challenges, by Isabel Yepes
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Python, Let's Go Home. Quickly., by Miroslav Šedivý
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Pythons in Python: Wildlife Trade Data Analysis Using Python, by Anne Devan-Song and Lee Tirrell
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Rapidly emulating professional visualizations from New York Times in Python using Altair, by Shantam Raj
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Sampling from (truncated) high-dimensional logconcave densities with VolEsti (GeomScale Project), by Marios Papachristou
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Ten Ways to Fizz Buzz, by Joel Grus
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Turn your notebook into a LaTeX-article with TexBook, by Valerio Maggio
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UBI Center: A think tank built on GitHub, Python, and Jupyter, by Max Ghenis
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Using Dominance Analysis for accurate and intuitive feature importance, by Shashank Shekhar
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nbreproduce: Jupyter notebooks in reproducible environments, by Mridul Seth
Posters
Sprints
Extracurriculars
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