Meet Runpandas: How Applied Data Science with Python helped me to run better!

Marcel Caraciolo

causal-curve: tools to perform causal inference given a continuous treatment

Roni Kobrosly

Analyzing YouTube using Python and Machine Learning

Jyotika Singh

Efficient Active Machine Learning for Crowdsourcing

Scott Sievert

Training machine learning models faster with Dask

Joe Holt and Scott Sievert

PyStar: Realtime Augmented Reality data visualizationusing Python and iOS.

Mauricio Hernandes

zfit: scalable, pythonic likelihood fitting

Jonas Eschle

Build Your First Cyber Forensic Application using Python

Gajendra Deshpande

Jostar: A Feature Selection Library for Data Sciences in Python

Amirhossein Hassanzadeh and Jan van Aardt

Analysis and Verification of Mixed-mode Signal Chains for Analog Signal Acquisition using Python

Mark Thoren

AutoPyBind11: An introduction to open source automated Python bindings

Joseph Snyder

Cell Tracking in 3D using deep learning segmentations

Varun Kapoor and Claudia Carabana Garcia

An Accurate Implementation of the Studentized Range Distribution for Python

Matt Haberland

Heatrapy: a multidimensional tool to compute heat transfer processes

Daniel José da Silva

Leveraging the power of Python to accelerate GPU computing in multiple industries

Joongi Kim, Eunjin Hwang, Sergey Leksikov and Jeongkyu Shin

IPySpaghetti: A dataflow interactive environment in Jupyter Lab

Corentin Cadiou

Microwave Image Processing: Exploring SAR images from Foundations to Frontiers through Python

Shubham Sharma

Towards a Scientific Workflow Description: a yt Project Prototype for Interdisciplinary Analysis

Samantha Walkow

IPySpaghetti - exploring dataflow-based notebooks

Corentin Cadiou

Data Processing on Ray

Sangbin Cho

Weaviate Vector Search Engine - Introduction

Laura Ham

Multilingual Natural Language Processing using Python

Gajendra Deshpande

Inventing Curriculum using Python and spaCy

Gajendra Deshpande

PyBMRB: Data visualization tool for BioMagResBank

Kumaran Baskaran

A Gentle Introduction to Causal Inference

Eyal Kazin

A Gentle Introduction To Multi-Objective Optimisation

Eyal Kazin

Using the scientific Python stack to analyze Low Energy Electron Microscopy data

Tobias A. de Jong, David N. L. Kok, Johannes Jobst, Tjerk Benschop and Sense Jan van der Molen

Persistent BinderHub: The best of both worlds

Mridul Seth and Arnim Bleier

Mitigating Cognitive Bias in Software Artifacts

Matthew Widjaja, Amanda Kraft, Trevor Sands and Brad Galego

Distributed XGBoost on Ray

Kai Fricke

Figpager: Multipage graphics with matplotlib

Eben Pendleton

Design of a Balance of Plant System with Dynamic Networks

Valmor F. de Almeida

How to Speed Up Scikit-Learn Model Training

Michael Galarnyk

mlf-core enables GPU deterministic machine learning

Lukas Heumos, Philipp Ehmele and Edmund Miller

A Growing Ecosystem of Scalable ML Libraries on Ray

Amog Kamsetty

Use Case: How PDFrw and fillable forms improves throughput at a Covid-19 Vaccine Clinic

Haw-Minn Lu and Jose Unpingco

Fire-and-forget distributed function execution with funcX

Ryan Chard, Yadu Babuji, Zhuozhao Li, Yongyan Rao, Josh Bryan, Tyler Skluzacek, Ben Galewsky, Daniel S. Katz, Ian Foster and Kyle Chard

Breaking down the Jupyter notebook monolith: Building reliable notebook-based pipelines with Ploomber

Eduardo Blancas Reyes

Awesome Analytics Apps with HoloViz Panel

Marc Skov

Declair: a hyperparameter search configuration framework

Krzysztof Cybulski, Tim De Jong and Marco Puts

CLAIMED, a visual and scalable component library for Trusted AI

Romeo Kienzler and Ivan Nesic

sktime - a Unified Framework for Machine Learning with Time Series

Markus L�ning

Caterva: A Compressed And Multidimensional Container For Medium/Big Data

Francesc Alted, Aleix Alcacer and Christian Steiner

Segmentation of tumors in brain: U-Nets and FPNs

Sourodip Ghosh

pycid: A Python Library for Causal Influence Diagrams

James Fox, Tom Everitt and Ryan Carey

On the Daskening of yt

Chris Havlin, Kacper Kowalik, Madicken Munk and Matthew Turk

Speeding Up Molecular Dynamics Trajectory Analysis with MPI Parallelization

Edis Jakupovic

Creating Learner Personas to Teach Data Science Effectively

Daniel Chen

Interpretable Machine Learning with PySR, a new High-Performance Symbolic Regression Package

Miles Cranmer

Adaptation in modern Markov chain Monte Carlo

Colin Carroll

Classification of Diffuse Subcellular Morphologies

Neelima Pulagam, Marcus Hill, Mojtaba Fazli, Meekail Zain, Rachel Mattson, Andrew Durden, Frederick Quinn, Chakra Chennubhotla and Shannon Quinn

GraphBLAS: a Sparse Linear Algebra Library

Erik Welch

Modernizing computing by structural biologists with Jupyter and Colab

Blaine Mooers

Performance of ulab - a NumPy/SciPy-like MicroPython module for microcontrollers

Pedro H. R. da S. Camara, Roberto Colistete Jr, Thiago F. Santos and Eduardo D. Stefanato

Scientific MicroPython on Microcontrollers

Roberto Colistete Jr

Bayesian Tools for Observational Cosmology of Type Ia Supernovae (BETOC-S) using Numba and CuPy

Roberto Colistete Jr

Create and Explore Data Pipelines with Elyra and JupyterLab

Alan Chin

A toolkit for medical imaging de-identification

Nicolas Pannetier