List of videos

Tiago Bacciotti Moreira Professor of the Information Systems at UEMG Ituiutaba Unit In this conversation, we will talk about the seven steps of the methodological proposal to practically implement the use of Python, increase student engagement and make use of real examples and practices: Methodological Proposal Lectures 1. Easy to get started 2. Clear problem definition 3. Growing difficulty 4. Collaborative work 5. Market Practices 6. Multidisciplinary 7. All open and published 8. Online classes Other talks at this conference 🚀🪐 https://www.conf42.com​/python2022 — 0:00 Intro 0:24 Talk

Mark Needham [Job Title] @ [Company] When you hear "decision-maker", it's natural to think, "C-suite", or "executive". But these days, we're all decision-makers. Restaurant owners, bloggers, big-box shoppers, diners - we all have important decisions to make and need instant actionable insights. In order to provide these insights to end-users like us, businesses need access to fast, fresh analytics. In this session, we will learn how to build our own real-time analytics application on top of a streaming data source using Apache Kafka, Apache Pinot, and Streamlit. Kafka is the de facto standard for real-time event streaming, Pinot is an OLAP database designed for ultra-low latency analytics, and Streamlit is a Python-based tool that makes it super easy to build data-based apps. After introducing each of these tools, we’ll stream data into Kafka using its Python client, ingest that data into a Pinot real-time table, and write some basic queries using Pinot’s Python SDK. Once we’ve done that, we’ll glue everything together with an auto-refreshing dashboard in Streamlit so that we can see changes to the data as they happen. There will be lots of graphs and other visualisations! This session is aimed at application developers and data engineers who want to quickly make sense of streaming data. Other talks at this conference 🚀🪐 https://www.conf42.com​/python2022 — 0:00 Intro 0:24 Talk

Shai Almog Developer Advocate at Lightrun Production bugs are the WORST bugs. They got through unit tests, integration tests, QA and staging… They are the spores of software engineering. Yet the only tools most of us use to attack that vermin is quaint little log files and APMs. We cross our fingers and put on the Sherlock Holmes hat hoping that maybe that bug has somehow made it into the log… When it isn’t there our only remedy is guesswork of more logging (which bogs performance for everyone and makes the logs damn near unreadable). But we have no choice other than crossing our fingers and going through CI/CD again. This is 2021. There are better ways. With modern debugging tools we can follow a specific process as it goes through several different microservices and “step into” as if we were using a local debugger without interrupting the server flow. Magic is possible. Other talks at this conference 🚀🪐 https://www.conf42.com​/python2022 — 0:00 Intro 0:24 Talk

Yshay Yaacobi Co-Founder & CTO at Livecycle It has become increasingly difficult & time consuming to start working on a new codebase, especially in a polyglot microservice world. Using several patterns & developer containers we can create an amazing developer experience that will allow anyone to instantly deep-dive into coding on any machine Other talks at this conference 🚀🪐 https://www.conf42.com​/python2022 — 0:00 Intro 0:24 Talk

Aman Sharma CoFounder & CTO at twimbit Every one says data is the new oil. But do we actually know how to efficiently use it to make our customer lives better, or it's just another silo of information. In this talk, we will see a beautiful approach to planning data-based projects inspired by professionals from Google, Twitter, Microsoft, and more. This talk will cover the following things - 1. Planning a data project sprint 2. Establishing purpose and vision. 3. What data matters and what's trash? 4. Mining the sentiments of users. 5. Diminishing the silos. 6. Tools After attending this talk, you would be able to think more clearly through the data project and really get amazing results. Other talks at this conference 🚀🪐 https://www.conf42.com​/python2022 — 0:00 Intro 0:24 Talk

Mihailo Joksimovic Head of JD Platform Development at JAGGAER I've been witness of numerous people, myself included, becoming a victim to Imposter Syndrome. Funny enough, due to keeping it ""to ourselves"", we almost never realize that others are feeling the exact same way. Hence we feel as ISOLATED imposters. As someone who has spent years in therapy and has been exploring the causes, effects and ways to mitigate imposter syndrome, I see it as my job to share my findings and experiences with others. And that's exactly what this talk is all about! Other talks at this conference 🚀🪐 https://www.conf42.com​/python2022 — 0:00 Intro 0:24 Talk

Schedule, Lineup & RSVP ➤ https://www.conf42.com/python2023 Join Discord ➤ https://discord.gg/DnyHgrC7jC Upcoming CFPs ➤ https://www.papercall.io/events?cfps-scope=&keywords=conf42 0:00 Intro ➤ Sponsors & Partners Keynotes 0:50 Anais Dotis-Georgiou 1:32 Justin Patriquin Security 1:56 Wiktoria Dalach Testing 2:50 Everett Pompeii 3:24 Mario Garcia ML 3:47 Jim Dowling 4:37 Michael Wehar 5:16 Tim Spann Alex Smolyak (no intro) Tools 5:46 Danica Fine 6:36 Hila Israeli 7:13 Aditya Mattos 7:50 Moshe Zadka 8:09 Peter Vidos 8:54 Anais Dotis-Georgiou Culture 9:44 Lauren Hayward Schaefer 10:21 Matt Harrison Lessons learned 10:57 Doug Sillars 11:33 Jose Manuel Ortega 12:27 Thank you, join Discord ➤ https://discord.gg/DnyHgrC7jC

Read the abstract ➤ https://www.conf42.com/Python_2023_Anais_DotisGeorgiou_time_series_database_application_architecture Other sessions at this event ➤ https://www.conf42.com/python2023 Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 Intro 0:21 Talk

Read the abstract ➤ https://www.conf42.com/Python_2023_Justin_Patriquin_sensitive_data_machine_learning_models Other sessions at this event ➤ https://www.conf42.com/python2023 Join Discord ➤ https://discord.gg/DnyHgrC7jC Chapters 0:00 Intro 0:21 Talk