Conf42 Python 2023 - Online

March 09 2023

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Schedule

Event	Time	Location
Premiere Show introducing all talks and sponsors		Livestream
Keynote: Time series database: Should I use one in my application architecture? Anais Dotis-Georgiou Developer Advocate at InfluxData		Livestream
Keynote: Protecting Sensitive Data and Machine Learning Models Justin Patriquin Software Engineer at Cape Privacy		Livestream
All 19 talks available on demand Pick and choose what order to watch things in		Subscribe

Keynotes

Time series database: Should I use one in my application architecture?

Why do you need a specialized database for time-series data? How do I know if a time series database is right for my application? These are questions on top of every developer's mind when building their applications architecture for time series data, and this presentation, we'll help answer them for you.

Anais Dotis-Georgiou

InfluxData

Protecting Sensitive Data and Machine Learning Models

The area where data is being processed and held in memory is nearly always unencrypted and may be at higher risk of cyberattacks. This talk will share how engineers can deploy functions containing proprietary algorithms, models, and secrets while keeping your intellectual property confidential.

Justin Patriquin

Cape Privacy

TRACKS:

security testing ml tools culture lessons learned

Track: security

Great Security Is One Question Away

Wiktoria Dalach

Track: testing

Run Fast! Catch Performance Regressions in Python

Everett Pompeii

Bencher

How To Generate Test Data for Your Database Project

Mario Garcia

Percona

Track: ml

The machine learning pipeline is a myth - build production ML systems with feature/training/inference pipelines

Jim Dowling

Hopsworks

Using Python to Build Applications for Language Learning

Michael Wehar

Swarthmore College

Build ML Enhanced Event Streaming Apps with Python Microservices

Tim Spann

StreamNative

David Kjerrumgaard

StreamNative

Data science and machine learning in wastewater intelligence

Alex Smolyak

Kando

Track: tools

Practical Pipelines: A Houseplant Soil Alerting System with ksqlDB

Danica Fine

Confluent

One Platform Product for All: A Revolution for Customers, Developers, and Sales

Hila Israeli

OwnBackup

gRPC in Python. Build fast scalable APIs for your services

Aditya Mattos

Kandji

PyO3: Rust <3 Python

Moshe Zadka

Twisted

Let them explore! Building interactive, animated reports in Streamlit with ipyvizzu & a few lines of Python

Peter Vidos

Vizzu

Building an IoT Monitoring App with InfluxDB, Python, and Flask with Edge to cloud replication

Anais Dotis-Georgiou

InfluxData

Track: culture

Level Up Your Technical Career by Writing

Lauren Hayward Schaefer

Grammarly

Consulting for Introverted Developers

Matt Harrison

MetaSnake

Track: lessons learned

Automate your CloudOps and Spend Less Time Doing Operations

Doug Sillars

unSkript

Tips and tricks for data science projects with Python

Jose Manuel Ortega

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