42:39
Diego Torres Quintanilla - How we upstreamed our internal goals to JupyterLab 4 | PyData NYC 2022
PyData
1:01:42
Isaac Godfried- Deep learning for time series forecasting and classification in practice | NYC 2022
35:15
Jon Wiggins - Understanding the News around the World with Web Scraping and NLP at Scale | PyData
36:06
Jeff Hale - Supercharge your Python code with Blocks | PyData NYC 2022
1:12:41
Brian Bush: Practical MLOps- Do we need all the things | PD NYC 2022
1:27:22
Robert Alvarez: Hands-On Computer Vision with PyTorch | PDNYC 2022
1:11:46
Roni Kobrosly: Introduction to Causal Inference | PDNYC 2022
1:24:41
Troubleshooting your Data Workflows with Noteable+Dagster-live debugging of failed jobs | PDNYC 2022
1:29:44
Distributed Python with Ray-Hands on with the Ray 2.0 APIs for scaling Python Workloads | PDNYC 2022
1:00:07
Dagshayani Kamalaharan + Nidhin Pattaniyil: Serving Pytorch Models in Production | PDNYC 2022
1:15:26
Nebari- Easily deploy+maintain an open source data science platform on the cloud of your choice
1:28:18
Building a Semantic Search Engine | PDNYC 2022
37:28
Cheuk Ting Ho: Using Numba Effectively Today | PDNYC 2022
41:48
Estefania Barreto-Ojeda - Applications in ML Drug Discovery pipelines | PyData NYC 2022
40:02
Joshua E. Jodesty - CATs: Content-Addressable Transformers | PyData NYC 2022
36:27
Iain Campbell - A Graph-based Machine Learning early warning system to detect Ransomware | PyData
44:57
Melissa McNeill - Customizable probabilistic record linkage with Name Match | PyData NYC 2022
33:56
Isabel Zimmerman - Holistic MLOps for better science | PyData NYC 2022
34:55
Lawrence Wilson Gray - 20 ideas to build social capital in the Data Science ecosystem | PyData NYC
1:22:40
Blancas & Michael - Improving Your Data Modeling Work Through Open-Source Software | PyData NYC 2022
43:00
Daniel Chen - Install Python. Quarto Render All the Things | PyData NYC 2022
44:54
Peterson & Qin - Contextual Multi-Arm Bandit and its applications to digital experiments | PyData
44:06
Joe Cheng - Shiny for Python: Interactive apps and dashboards made easy-ish | PyData NYC 2022
41:32
Cheuk Ting Ho - I hate writing tests, that's why I use Hypothesis | PyData NYC 2022
43:32
Sanjay Siddhanti - Implementing a Workflow Engine in Python | PyData NYC 2022
43:01
Lara Kattan - Simulations in Python: Discrete Event Simulation with SimPy | PyData NYC 2022
34:59
Tonya Sims - Discover Inspirational Insights in Motivational Sports Speeches Using Speech-to-Text
41:59
Song & Srinivasan - Predicting Weather-Caused Rare Events: A Utility Outage Prediction Use Case
1:25:54
ipyvizzu-story- a open-source tool to build create+share animated data stories w/ python in jupyter
1:25:46
Benjamin Batorsky: Bagging to BERT- A tour of applied NLP | PyData NYC 2022
52:59
Melissa Mendonça- Can we optimize communities | PyData NYC 2022
39:11
Herding Entities- Information Search and Synthesis in the Context of Transaction Data | PDNYC 2022
40:13
Scaling Python - Bank Edition | PyData NYC 2022
40:18
Naziga+Qazi: Model Upgrade Schemes- Considerations for Updating Production Models | PyData NYC 2022
36:24
Goyal- Human-Friendly, Production-Ready Data Science Stack with Metaflow & Kubernetes | NYC 2022
39:14
Han Wang- Testing Big Data Applications (Spark, Dask, and Ray)| PyData NYC 2022
38:12
Prompt Engineering ⚙️ - Addressing the sensitivity of Large language models | PyData NYC 2022
50:53
Hemant Jain- Large Language Models for Real-World Applications - A Gentle Intro | PyData NYC 2022
41:51
Alex Merose: Apache Beam on Dask- Portable, Scalable, Scientific Python | PyData NYC 2022
40:32
Elijah ben Izzy- Scalable Feature Engineering with Hamilton | PyData NYC 2022
37:14
Jeff Reback: pandas at a Crossroads, the Past, Present, and Future | PyData NYC 2022
42:09
ML Latency No More- Useful Patterns to Reduce ML Prediction Latency to Sub X ms | PyData NYC 2022
32:08
Piero Ferrante: Coldstart- A library for automatic data curation + feature engineering | PDNYC 2022
38:46
Chelle Gentemann - I'm from the government and I'm here to help | PyData NYC 2022
40:20
Rohit Supekar- Causal machine learning for a smart paywall at The New York Times | PyData NYC 2022
32:29
Ilinca Barsan A Guide to Data Science as a Creative Discipline | PyData NYC 2022
44:15
Cloud + Forsyth- Ibis- Expressive analytics in Python at any scale | PyData NYC 2022
29:56
Sophia Yang- Level up your viz skills- from Matplotlib to HoloViz | PyData NYC 2022
Matthew Rocklin- Deploying Dask | PyData NYC 2022
41:27
Colin Carroll- JAX for Bayes | PyData NYC 2022
38:15
Juan Luis- Expressive and fast dataframes in Python with polars | PyData NYC 2022
39:36
Kjell Wooding- Zeno Does Data Science- The Paradoxical Quest for Reproducibility | PyData NYC 2022
40:45
Allen Downey- Chasing the Overton Window | PyData NYC 2022
31:05
How to build a serverless electricity price prediction service in Python with Hopsworks + Streamlit
43:27
Zach Musgrave- Git for Data- Data Versioning for Reproducible Data Science with Dolt | PDNYC 2022
37:30
Lauren Oldja- NumFOCUS Champions Circle presents- How to make friends and generate impact | PDNYC 22
40:34
Thomas J. Fan- Parallelism in Numerical Python Libraries | PyData NYC 2022
38:51
Kei Nemoto- Gentle introduction to scaling up ML service with Kubernetes + Mlflow | PyData NYC 2022
42:06
Kshetrajna Raghavan- Using Interconnected ML Models to Tackle Retail Challenges | PyData NYC 2022
5:57
Closing Notes | PyData NYC 2022
1:01:41
Lightning Talks | PyData NYC 2022
39:50
Thomas Caswell - From Science to Open Source and Back Again | PyData NYC 2022
42:10
Fabio Pliger- PyScript & Data Science- PyData stack on the Browser | PyData NYC 2022
43:21
James Powell- Why do I need to know Python- I'm a pandas user | PyData NYC 2022
32:33
NixtlaVerse, bridging the gap between statistics and deep learning for time series | PyData NYC 2022
40:36
Martin Hirzel- Fairness for Scikit-Learn Pipelines with Lale | PyData NYC 2022
39:58
Kravchenko + Doest- Building highload ML powered service | PyData NYC 2022
