Advanced Software Testing for Data Scientists

An Introduction to Probability and Statistics

How to Prove You’re Right: A/B Testing with SciPy

Introduction to Language Modeling

Introduction to NLP

Introduction to pandas

Visualizing the 2019 Measles Outbreak in NYC (with Python)

A How-to guide for migrating legacy data applications

Building a maintainable plotting library

Building Software and Communities With Peer Review

Clean Machine Learning Code: Practical Software Engineering Principles for ML Craftsmanship

Colorism in High Fashion (featuring: K-Means Clustering)

Data-centric exploration using intake, dask, hvplot, datashader, panel, and binder

Data science at The New York Times: a mission-driven approach to personalizing the customer journey

Dealing With Imbalanced Classes in Machine Learning

Deep Dive into scikit-learn's HistGradientBoosting Classifier and Regressor

Discover your latent food graph with this 1 weird trick

Every ML Model Deserves To Be A Full Micro-service

Free Your Esoteric Data Using Apache Arrow and Python

High-Performance Data Science at Scale with RAPIDS, Dask, and GPUs

How and why to put your Jupyter notebooks in Docker containers

Implementing Lightweight Random Indexing for Polylingual Text Classification

Improve the efficiency of your Big Data application

Julia for Pythonistas

Painting a Picture of Public Data

Production Code in Data Science Consulting

Reproducibility in ML Systems: A Netflix Original

Should I develop my own DS library? Maybe.

Sloth & ENVy

Stars, Planets, and Python

tf-explain: Interpretability for Tensorflow 2.0

The Echo-Chamber of Your Social Media Feed

The Inspection Paradox is Everywhere

The Secret Life of Python

Type-Driven Automated Learning with Lale

A Crash Course in Applied Linear Algebra

A Few Good Public Servants: How Great Analysis Inspires Action

A Primer on Gaussian Processes for Regression Analysis

Bayesian Inference for Fun and Profit

Bringing mental health data to doctors

Build an AI-powered Pet Detector in Visual Studio Code

Cleaning, optimizing and windowing pandas with numba

Conda-press, or Reinventing the Wheel

Effective Python and R collaboration

From Raw Recruit Scripts to Perfect Python

Generating realistic, differentially private data sets using GANs

Geo Experiments and Causal Impact in Incrementality Testing

Hacking the Data Science Challenge

Is Spark still relevant? Multi-node CPU and single-node GPU workloads with Spark, Dask and RAPIDS.

Launching a new warehouse with SimPy at Rent the Runway

Managing Stakeholders: The Key to Successful Data Science for Business

Neural Networks for Natural Language Processing

New Trends in Estimation and Inference

Pandas vs Koalas: The Ultimate Showdown!

Propensity Score Matching: A Non-experimental Approach to Causal Inference

Quantifying uncertainty in machine learning models

Role playing Annotation workshop

Same API, Different Execution

Scalable Machine Learning with Dask

Semantic modeling of data science code

Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach

Small Big Data: using NumPy and Pandas when your data doesn't fit in memory

Spark Backend for Ibis: Seamless Transition Between Pandas and Spark

The physics of deep learning using tensor networks

Time series for scikit-learn people

To comment or not

Using Graph Nets (GNs) to predict molecular properties

What we learned by running a large custom Bayesian forecasting model in production

Working with Maps: Extracting Features for Traffic Crash Insights

Zarr vs. HDF5