Name: PyLadies Paris Python Talks
Start: 2023-11-16T18:30:00+01:00
End: 2023-11-16T21:30:00+01:00
Location: GitGuardian

Dear PyLadies [💚](https://emojipedia.org/green-heart/)🐍

Our next **on-site** event is coming on 16th November featuring three excellent speakers:

**🌟 Anne-Marie Tousch** (Datadog)

**talk title**: Why am I doing this???

**🌟 Alina Tuholukova** (GitGuardian)

**Talk title:** No downtime migrations in Django

**🌟 Sarah Diot-Girard** (Owkin)

**Talk title:** The science of debugging

**🌟Agenda** (preliminary)

18h30 - 18h45 Come and take your seat

18h45 - 19h00 Welcome by PyLadies Paris and GitGuardian

19h00 - 19h30 Talk by Anne-Marie Tousch

19h30 - 20h00 Talk by Alina Tuholukova

20h00 - 20h30 Talk by Sarah Diot-Girard

20h30 - 21h30 Cocktail, networking

**NOTE:** If want to join but cannot be with us onsite, we will broadcast the event **online**!
Here is the registration link : [https://app.livestorm.co/gitguardian/pyladies-paris-python-talks](https://app.livestorm.co/gitguardian/pyladies-paris-python-talks)

**🌟 Alina Tuholukova** (GitGuardian)
**Talk title**: No downtime migrations in Django
**Abstract**: Database migrations are a critical aspect of maintaining and evolving Django applications. However, they often pose a significant challenge when it comes to maintaining uninterrupted service and ensuring a seamless user experience. Unfortunately, the django framework does not provide natively the solution for no-downtime migrations. In this talk, we will discuss the approach that GitGuardian took to ensure the continuous service for its users.
**About Alina**: She began her career in research, where she spent a couple of years working on networking subjects. Later on, She switched to software development. she has worked for a few different companies, mainly on the backends in C++, Scala, and Python.
For a little over a year now, She has been a part of the team at GitGuardian, a company that develops a code security platform and is a leader in detecting secrets within code. This role has exposed her to
some challenging topics and provided many opportunities for learning. Currently, my team and I are actively involved in the development of honeytokens, a tool designed to detect whether an attacker has gained access to your code.

**🌟 Sarah Diot-Girard** (Owkin)

**Talk title**: **The science of debugging**

**Abstract**: Debugging might be the most universal experience shared by anyone who write code. Nevertheless, it is often a frustrating experience, perceived as abstruse and time-wasting, and where you have to come up with all the ideas.
It does not have to be that way. This talk will focus on methods to help with making debugging a rational, positive experience, and we will explore how debugging can even help with gaining some valuable knowledge about your codebase.
**About Sarah**: Sarah Diot-Girard has been working on Machine Learning since 2012, and she enjoys using data science tools to find solutions to practical problems. She is particularly interested in issues, both technical and ethical, coming from applying ML into real life. She gave talks at international conferences, about data privacy and algorithmic fairness, and software engineering best practices applied to data science. She is employed by Owkin as a maintainer of the Federated Learning platform Substra since 2023.

**🌟 Anne-Marie Tousch** (Datadog)

**talk title**: Why am I doing this???

**Abstract**: How often do you ask yourself this question? In this talk, I’ll use it as a guide and walk you through a few interesting problems that we have at Datadog around anomaly detection in time series. We’ll see how this questioning can help us improve our understanding on a variety of topics such as when to use machine learning, how to select the best algorithm for a problem, when to publish a paper, or how to build useful products.
**About Anne-Marie**: She is a Senior Data Scientist at Datadog, based in Paris. For some reason, she started working with machine learning in 2006. Before joining Datadog, she worked for 5+years as a machine learning researcher at Criteo, and before that, for 4+ years as a computer vision engineer in a startup. She holds a PhD in computer vision from the Ecole des Ponts ParisTech (2010). In the past few years at Datadog, she's been working on log anomaly detection, and more recently on general time series anomaly detection for observability.

\*\*[GitGuardian](https://www.gitguardian.com/)\*\* will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you [💚](https://emojipedia.org/green-heart/)

**Important info**

#1:❗For safety reasons, the venue's staff will check everyone's identity on site. 📝Please remember to bring an ID with you and register for the event with your real name and family name. Thank you!

#2: Please be on time. We can’t guarantee a seat once the meetup has started

\# 🔍 FAQ

Q. I'm not female, is it ok for me to attend?

A. Yes, PyLadies Paris events are open to everyone at all levels.

Maria Teleńczuk

Chiara Biscaro

mojdeh rastgoo

Maud Lévy

PyLadies Paris

Python Software Foundation Meetup Pro Network

Technology

Open Source

Python

Software Development

Web Development

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Computer Programming

Open Source Python

Data Science using Python

PyLadies Paris Python Talks

Machine Learning

Django

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PyLadies Paris

PyLadies Paris Python Talks

PyLadies Paris

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