Dear PyLadies 💚🐍

Our next on-site event is coming on the 20th of May featuring 𓆙 Sarah Abderemane from Kraken and Marie Sacksick from probabl: **.** and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h30 - 18h45 Come and take your seat

18h45 - 19h00 Welcome by PyLadies Paris and Mobiskill Technology

19h00 - 19h45 Accessibility Awareness by Sarah Abderemane

19h45 - 20h30 Extending Scikit-learn using Skore by Marie Sacksick

20h30 - 22h00 Snacks and Networking

🌟 Sarah Abderemane from Kraken Talk Title: Accessibility Awareness Abstract: Accessibility is generally not considered or integrated into the software development process. Awareness of accessibility is needed among developers and beyond, so that it can be integrated in, or at least think better about users’ needs in the process of creating tools or software. This is important because it affects so many folks, far more than people might think. The aim of this talk is to raise awareness through examples and give a few pointers on how to contribute to this effort to make tools and software accessible to all.

About Sarah: Sarah Abderemane is the VP of the Django Software Foundation and a member of the Django Accessibility team. She invests time in community growth and she is tackling climate change at Kraken. She also organizes the Django Paris meetup.

🌟 Marie Sacksick Talk Title: Extending Scikit-learn using Skore Abstract: Scikit-learn has long been the go-to library for predictive modeling, but data science is much more than just training models. In this talk, we’ll explore new tools that enhance the entire machine learning workflow—from data preparation with skrub, to experiment tracking with skore, to production-ready model deployment with skops. Expect demos, insights, and a fresh perspective on how the scikit-learn ecosystem is evolving. About Marie : Marie Sacksick is product engineer at probabl, scikit-learn spinoff, bridging the developer and product team, and bringing data science experience. She is also co-organizer of the meetup Women in Machine Learning and Data Science Paris.

Mobiskill will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Dilane from Mobiskill for all the support.

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.

Dear PyLadies 💚🐍

Our next on-site event is coming on the 25th of March featuring 𓆙 Anna Astori from Cigna Group and Julia Wabant **.** and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h30 - 18h45 Come and take your seat

18h45 - 19h00 Welcome by PyLadies Paris and Octo Technology

19h00 - 19h30 Building an LLM-backed chatbot with Chainlit by Anna Astori

19h30 - 20h00 Rustyfing Python: A Synergistic Approach to High Performance by Julia Wabant

20h00 - 20h20 Lightning talks

20h20 - 22h00 Snacks and Networking

🌟 Anna Astori from Cigna Group Talk Title: Building an LLM-backed chatbot with Chainlit Abstract: If you’re interested in Generative AI, building a chatbot application sounds exciting, right? But creating the web UI can quickly become overwhelming, especially if you don't have much experience. That’s where Chainlit comes to the rescue! In this talk, you’ll see how you can quickly build pretty sophisticated interactive chatbots and integrate generative AI models using Chainlit. We’ll also cover features such as testing and debugging, streaming responses, and more advanced backend settings. About Anna: Anna Astori is a Software Engineer. She is also a co-organizer of PyLadies Boston, Women Techmakers Ambassador, and formerly the Director for Women Who Code Boston.

🌟Julia Wabant Talk Title: Rustyfing Python: A Synergistic Approach to High Performance Abstract: This talk explores the synergistic combination of Python and Rust for high-performance software development. While Python's dynamic typing and interpreted nature excel in rapid prototyping and development, its performance limitations become apparent in complex applications. Rust, with its static typing and compilation to native code, provides a powerful solution for optimizing computationally demanding tasks. By leveraging Rust's native performance within Python projects, we achieve a compelling balance: the flexibility and ease of development offered by Python coupled with the raw speed and efficiency of Rust. This talk showcases practical examples of integrating Rust into Python projects, demonstrating how to build a single package, and ultimately achieve streamlined development, deployment, and execution. About Julia : Julia Wabant is a seasoned developer with 7 years of experience building and deploying Machine Learning solutions across various industries. She has a deep understanding of the entire ML lifecycle, from data preparation to model training, deployment and monitoring. Beyond industry experience, Julia is also a passionate educator, having spent significant time in the last 4 years teaching programming, mathematics, data science and machine learning to students, developers, and executives. As a Google Cloud and AWS certified Machine Learning specialist, Julia is well-versed into both cloud platforms and their role in powering modern ML applications.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected]

Octo Technology will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Loic from Octo n for all the support.

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.

Dear PyLadies 💚🐍

Our next on-site event is coming on the 12th of February featuring 𓆙 Camille Brianceau & Alice Joubert from Paris Brain Institute and Irina Nikulina from Dandy**.** and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h30 - 18h45 Come and take your seat

18h45 - 19h00 Welcome by PyLadies Paris and Kraken

19h00 - 19h30 An end-to-end neuroimaging analysis with Clinica & ClinicaDL by Camille Brianceau & Alice Joubert

19h30 - 20h00 Exploring Computer Vision with OpenCV and Python by Irina Nikulina

20h00 - 20h20 Lightning talks

20h20 - 22h00 Snacks and Networking

🌟 Camille Brianceau & Alice Joubert from Paris Brain Institute Talk Title: An end-to-end neuroimaging analysis with Clinica & ClinicaDL

Abstract: In this talk, we will explain how Clinica and ClinicaDL can be used for neuroimaging analysis, from preprocessing to deep learning-based analysis. We will share practical examples and discuss how these tools can be applied in research and clinical contexts.

About Camille: Camille works as a research engineer at the Paris Brain Institute within the Aramis Lab. Her work focuses on the development of open-source deep learning software for reproducible neuroimaging processing.

About Alice: Alice is a junior python developer eager about medical topics, coming from a biology and biomedical engineering background. Currently. She works as a research engineer at the Paris Brain Institute within the Aramis lab, which develops open source software for neuroimaging.

🌟 Irina Nikulina from Dandy Talk Title: Exploring Computer Vision with OpenCV and Python

Abstract: This talk introduces OpenCV, a popular open-source Python library for computer vision. We'll start with the basics, exploring key functions for working with images and videos, and then move on to its applications in machine learning and beyond. We'll also walk through a simple project example to show what you can build with OpenCV.

About Irina: Irina is a Senior Machine Learning Engineer passionate about solving complex problems using AI. Over the past 4 years, She focused on developing innovative Virtual Try-On solutions for e-commerce. Recently, She started a new role as a Computer Vision Engineer, where she is working on digitizing the dental industry.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected]

Kraken will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Sarah, Candice and Alexandre from Kraken for all the support.

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.

Dear PyLadies 💚🐍

Our next on-site event is coming on the 10th of December featuring a Workshop on "My First Learning to Rank" by Sarah Le Moigne and Claire Helme-Guizon from Algolia.

🌟 Sarah Le Moigne & Claire Helme-Guizon from Algolia Workshop Title: My first learning to rank

Agenda: - 18h45 - 19h00: Welcome and take your sits - 19h00 - 20h30: Workshop - My first learning to Rank - 20h30 - 21h30: Networking

Abstract: You will explore a solution to learn and generalize ranking to new items. Ranking is the process to order or position an element regarding others for given criteria. The workshop will cover data preparation, model training and examples of application.

About Sarah and Claire: Claire and Sarah have both been working as ML engineers at Algolia for respectively 5 and 4 years. They are working on search related topics including ranking and search intent understanding.

Workshop requirements: Beginner level (but people need to have basic knowledge of python programming), laptop required (regarding the format we will share a colab notebook).

Algolia will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 .

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.

Dear PyLadies 💚🐍

Our next on-site event is coming on the 27th of November featuring 𓆙 Adrin Jalali from Probabl and Celia Kherfallah from Zama and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h30 - 18h45 Come and take your seat

18h45 - 19h00 Welcome by PyLadies Paris and GitGuardian

19h00 - 19h30 Let’s exploit pickle, and `skops` to the rescue! by Adrin Jalali from Probabl.

19h30 - 20h00 Privacy-Preserving Machine Learning With Fully Homomorphic Encryption (FHE) by Celia Kherfallah from Zama

20h00 - 20h20 Lightning talks

20h20 - 22h00 Pizza & networking

🌟 Adrin Jalali from Probabl Talk Title: Let’s exploit pickle, and `skops` to the rescue!

Abstract: Pickle files can be evil and simply loading them can run arbitrary code on your system. This talk presents why that is, and we show in simple ways how you can create such an exploit. It would give you a good basis to understand pickle vulnerabilities. This talk also gives you the resources to find more about these exploits.

We then talk about how `skops` [1] is tackling the issue for scikit-learn/statistical ML models. We go through some lower level pickle related machinery, and go in detail how the new format works. The new format does not only solve the issue for scikit-learn models, but also for most third party estimators which are in the same ecosystem.

In terms of usage, you can simply change two import statements and use the new format almost as a drop in replacement.

- [1] https://skops.readthedocs.io/en/stable/persistence.html

About Adrin: Adrin, a cofounder at probabl.ai, works on a few open source projects including skops which tackles some of the MLOps challenges related to scikit-learn models. He has a PhD in Bioinformatics, has worked as a consultant, and in an algorithmic privacy and fairness team. He's also a core developer of scikit-learn and fairlearn.

🌟 Celia Kherfallah from Zama Talk Title: Privacy-Preserving Machine Learning With Fully Homomorphic Encryption (FHE)

Abstract: We live in an era where the amount of online data has reached hundreds of zettabytes, and cloud services are evolving at an unprecedented rate. Despite tighter regulations, the risk of personal data misuse remains a major concern. At Zama, we believe that responsibility for this issue doesn’t rest with Internet users, but with developers. It is their duty to ensure the protection and security of the data they process.

In this talk, we'll raise awareness among developers about the importance of data privacy, thanks to Fully Homomorphic Encryption (FHE). We'll also introduce Zama's Concrete ML library, which provides the necessary tools (built using FHE) for training models, performing inference on encrypted data, and deploying these solutions, which will enable developers to integrate strong privacy protections without requiring any specific knowledge in cryptography.

About Celia: Celia, Machine Learning Researcher at Zama, has contributed to the development of the Concrete ML library and to the democratization of Fully Homomorphic Encryption (FHE) in the field of Machine Learning.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected]

GitGuardian will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Oscar Burns and Antoine Gaillard from GitGuardian for all the support.

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.

Dear PyLadies 💚🐍

Our next on-site event is coming on the 23rd of October featuring 𓆙 Andrey Solomatin from Criteo and Laura Dumont from Owkin and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h20 - 18h30 Come and take your seat

18h30 - 18h45 Welcome by PyLadies Paris and Criteo

18h45 - 19h05 Good Code Comments: What Does It Mean? by Andrey Solomatin from Criteo

19h05 - 19h35 AURA: Collaborative Open-Source Development for Seizure Detection in Epilepsy Care by Laura Dumont from Owkin

19h35 - 19h50 Lightning talks

19h50 - 21h00 Pizza & networking

🌟 Andrey Solomatin from Criteo Talk Title: Good Code Comments: What Does It Mean?

Abstract: You often hear conflicting advice about comments: “Add more comments!” or “Don’t write any comments!” And even more confusingly: “Comment where appropriate.” This talk will clarify the different types of comments and show how to use them effectively to improve your code.

About Andrey: Andrey Solomatin is a Senior Site Reliability Engineer at Criteo. He is involved in maintaining and supporting existing systems, as well as creating new ones. He is an active contributor to the Python Guild at Criteo. In the past, he has worked on long-lasting legacy projects, where decisions made 5-7 years ago significantly impacted the maintainability and extensibility of the product.

🌟 Laura Dumont from Owkin Talk Title: AURA: Collaborative Open-Source Development for Seizure Detection in Epilepsy Care

Abstract: This talk presents AURA, an open-source project developing AI-driven seizure detection algorithms for epilepsy patients. We'll explore our collaborative approach, combining expertise from engineers, clinicians, and patients with real-world testing at our Living Lab partner, La Teppe medical facility in France. Learn how our open science framework addresses challenges in physiological data processing and prediction accuracy for wearables, and discover how you can contribute to making epilepsy care more accessible and affordable through technology.

About Laura: She has worked in the healthcare industry for more than 10 years, currently a senior machine learning at Owkin and volunteering with AURA. Committed to open source and open science principles, she strives to leverage Python and data science for social good, focusing on health, inclusion, and projects that make a meaningful difference in people's lives.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected]

Criteo will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Sonia C from Criteo for all the support.

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.

⚠️ There was a change of speakers ⚠️

Dear PyLadies 💚🐍

Our next on-site event is coming on the 20th June at TOO GOOD TO GO, featuring:

𓆙 Sami Kaddani from TOO GOOD TO GO talk title: Leveraging Metaflow to manage ML pipelines in production

𓆙 Maria Teleńczuk from Owkin talk title: Federated Learning for Biotech

And ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h50 - 19h00 Come and take your seat

19h00 - 19h10 Welcome by PyLadies Paris and TOO GOOD TO GO

19h10 - 19h40 Talk by Sami Kaddani (TOO GOOD TO GO)

19h40 - 20h20 Talk by Maria Teleńczuk (Owkin)

20h20 - 20h30 Lightning talks

20h30 - 21h30 networking

🌟 Sami Kaddani (TOO GOOD TO GO) Talk title: "Leveraging Metaflow to manage ML pipelines in production" Abstract: Transitioning from prototype to production in an ML project can be approached in various ways. Traditionally, this involves structuring code as Direct Acyclic Graphs (DAGs), which map out steps and their interdependencies. In this talk, we will showcase how we utilize Metaflow, a data scientist-oriented tool, to bring our DAGs to life. We will start with an overview of Metaflow's base concepts, then discuss key decisions we made to: version data and models, transition between prototype/staging/production phases, and integrate with other components in our tech stack.

About Sami: He is a machine learning engineer for Too Good To Go Platform (B2B activity of Too Good To Go). Three things that motivates him the most are using an analytical approach to have an impact, working as a team to make a difference and the continuous learning opportunity that machine learning provides.

🌟 Maria Teleńczuk Talk title: "Federated Learning for Biotech" Abstract: The Talk is targeted at anybody 🧑‍🎓 I am going to explain what Federated Learning is before getting into any details I will also give some real-world examples on the federated learning projects at Owkin and will finish discussing open challenges in Federated Learning.

About Maria: I am a senior research scientist in machine learning, advocate for good coding practices and passion for data and biological systems. My background is in computational neuroscience in which I have wrote my doctorate. I am also a Pyladies Paris organizer and contributor to open source such as scikit-learn, PyDeseq2 or FLamby. I am mostly working with Python being a firm believer in an open source and in sharing knowledge and love for tech and science.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 19th June to [email protected]

TOO GOOD TO GO will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚

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.

Dear PyLadies 💚🐍

Our next on-site event is coming on the 22nd of May featuring 𓆙 Konstantina Kontoudi from DataDome**.** Also following the big success during the last time meetup we will have (with more time to welcome more speakers this time!) ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

19h00 - 19h10 Come and take your seat

19h10 - 19h20 Welcome by PyLadies Paris and Algolia

19h20 - 20h00 Talk by Konstantina Kontoudi (DataDome)

20h00 - 20h40 Lightning talks

20h40 - 22h00 networking

🌟 Konstantina Kontoudi (DataDome) Talk title: "From ML model debugging to bot detection - The story of Sliceline" Abstract: In the realm of data science, innovation often arises from unexpected sources. This talk delves into the journey of open-sourcing Sliceline and repurposing it for internal use cases at DataDome. This algorithm, originally designed for ML model debugging, is used to block millions of bots every day. In this talk, we are going to briefly explain the Sliceline algorithm and showcase how it can be used to debug ML models. Then we are going to see how we can use the same algorithm to generate a large number of rules and respond to bot attacks in real-time.

About Konstantina: Konstantina Kontoudi is leading the Data Science activities at DataDome. Her activities focus on applying Machine Learning and Data Mining algorithms to cybersecurity. She holds a Ph.D. in Theoretical Physics and has worked as a Software Engineer and Data Scientist for five years in the financial and automotive industry before joining Datadome.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected]

Algolia will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚

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.

Dear PyLadies 💚🐍

Our next on-site event is coming on the 13th of March featuring 𓆙 Stefanie Senger from :probabl. and introducing ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h45 - 19h00 Come and take your seat

19h00 - 19h10 Welcome by PyLadies Paris and Criteo

19h10 - 19h50 Talk by Stefanie Senger (:probabl.)

19h50 - 20h10 Lightning talks

20h10 - 21h00 pizza, networking

🌟 Stefanie Senger (:probabl.) Talk title: How do YOU start contributing to Open Source? Abstract: In this talk, we'll explore what it needs to start contributing to open source projects as a beginner. We'll discuss the mindset required for successful participation, focusing on qualities like collaboration, curiosity, and a willingness to learn. We'll cover essential pre-requisites such as understanding version control systems, issue tracking, and the basics of code review. Finally, we'll provide practical advice on where to begin your open source journey, including tips for finding beginner-friendly projects and issues and leveraging online resources and communities. If you're looking to take your first steps into the world of open source contribution, don't miss out on this.

About Stefanie: Stefanie is an open source developer at scikit-learn, who has transitioned into this field not too long ago. She has been an historian before and contributed text to the Wikipedia before getting into Python.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected]

Criteo will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Sonia Corne from Criteo for all the support.

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.

Dear PyLadies 💚🐍

Our next on-site event is coming on 24th January featuring three excellent speakers:

🌟 Léa Longepierre (Kiro)

talk title: Leveraging machine learning for early detection of chronic kidney disease

🌟 Lea Bourel & Chiara Biscaro (Botify)

Talk title: Understanding SEO Split Testing: Optimizing for Search Engines

🌟Agenda (preliminary)

18h45 - 19h00 Come and take your seat

19h00 - 19h15 Welcome by PyLadies Paris and Kiro

19h15 - 19h45 Talk by Léa Longepierre

19h45 - 20h15 Talk by Lea Bourel & Chiara Biscaro

20h15 - 21h15 Cocktail, networking

🌟 Léa Longepierre (Kiro) Talk title: Leveraging machine learning for early detection of chronic kidney disease Abstract: Chronic kidney disease (CKD) is a condition characterized by a gradual degradation of kidney function over time. CKD is a multi-staged condition, which ultimately progresses to end-stage kidney failure, fatal without artificial filtering (dialysis) or a kidney transplant. Effective strategies are available to slow the progression of irreversible kidney damage, making early detection - and subsequent treatment of CKD - paramount to delay or prevent many associated complications. In this talk, we will show how the data science team at Kiro tackled this challenge, leveraging machine learning to predict CKD at least one year before onset. About Léa: Léa has been a Data Scientist at Kiro for the past 3 years. She graduated from ISUP in biostatistics and holds a PhD in statistics from Sorbonne Université, where she studied random graphs and more precisely, the maximum likelihood estimation in dynamic or spatial stochastic block models. At Kiro, she developed a unique expertise in medical biology data, predictive biomarkers, and recommender systems.

🌟 Lea Bourel & Chiara Biscaro (Botify)

Talk title: Understanding SEO Split Testing: Optimizing for Search Engines Abstract: This talk is your guide to SEO (search engine optimization) split testing, breaking down the basics without the jargon. Learn how we tweak websites not for people, but for search engine bots. We'll discuss the essentials, like how many pages and clicks you need for meaningful tests. Plus, we'll dive into how we divide our audience into two groups, exploring the simple yet crucial ways we optimize for both users and crawling bots. Get ready for a straightforward exploration of SEO split testing and how it shapes your website's performance in search results.

About Lea: She holds a bachelor's degree in economics and a master's degree in applied statistics for economics. She has worked as a Data Analyst at Botify for over two years About Chiara: she has worked as Senior Data Scientist at Botify since 2021. She was formerly an astrophysics researcher who studied Supernovae explosions, and she switched to Data Science in 2016. Her favourite area of Machine Learning is recommender systems

**Kiro** will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚

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.

Dear PyLadies 💚🐍

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

🌟 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** will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚

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.