Name: PyLadiesCon 2023
Start: 01/12/2023 12:00 AM +00:00
End: 03/12/2023 11:30 PM +00:00

Lynn Root

PyLadies Introduction

Mariatta Wijaya

Denny Perez

Welcome to PyLadiesCon

PyScript is a groundbreaking open-source framework that empowers users to create feature-rich Python applications in the browser, harnessing the potential of HTML&rsquo;s interface and leveraging the power of Pyodide, WebAssembly, and cutting-edge web technologies. In this talk, we will explore the capabilities of the PyScript framework, showcasing its ability to provide users, regardless of their experience level, with an expressive and easily graspable programming language. With PyScript, developers can unlock countless applications and tap into the vast potential of Python within the browser environment. Join us to discover how PyScript empowers data scientists and developers to write data-driven applications in Python, transforming the data science workflow and expanding the horizon of web development.

Sophia Yang

PyScript: Empowering Rich Python Applications in the Browser 在浏览器中运行Python

Python, renowned for its simplicity and readability, encourages developers to write code that is not only functional but also elegant. Becoming a Pythonic programmer goes beyond just writing code that runs. It's about writing code that is clean, elegant, and conforms to the Pythonic way of thinking. In this talk, we'll explore the world of Pythonic programming, discussing the style guidelines, code readability, and Pythonic idioms. This talk is tailored for Python enthusiasts at all levels, from newcomers to seasoned developers, seeking to elevate their coding skills. By the end of this session, you'll be equipped with the knowledge and tools to craft Pythonic code &nbsp;that not only works but is also a joy to read and maintain. 
Python's simplicity and readability make it a popular choice for developers. However, being Pythonic goes beyond writing functional code; it's about crafting elegant, maintainable, and collaborative code. This talk is designed for Python enthusiasts of all levels.
We'll explore the significance of Pythonic programming and its impact on code readability.&nbsp; Outcomes: By the end of this talk, participants will: 1. Understand the significance of Pythonic programming and its benefits. 2. Become familiar with style guidelines and best practices. 3. Learn techniques to write clean, readable, and Pythonic code. 4. Cultivate a Pythonic mindset for code development and maintenance.

Swarooprani Manoor

Pythonic Principles: Best Practices for Clean Code

Lorena Mesa

Tania Allard

Sarah Adigwe

Unity in Diversity: The Voices of PyLadies Global Council 

The PyData ecosystem, which includes open source Python libraries for scientific computing and machine learning, is at the heart of the rapidly advancing data science landscape. Thanks to the dedicated focus on interoperability, the PyData community has built a powerful toolkit that works across several scientific and business domains.&nbsp;
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We have mature collaboration tools in the PyData ecosystem like JupyterHub for shared infrastructure, conda for package &amp; environment management, and Dask for distributed computing. However, the process for setting-up and using a platform with all these tools requires in-depth knowledge of these tools. This talk hopes to discuss some friendly solutions for collaborative practices like:
* **Sharing ongoing work**, visualizations, and dashboards **with reproducible environments** * Designing for **scalability (distributed compute) and productionization** * **Monitoring and managing team resources** to minimize cloud costs&nbsp;
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**Pre-requisites:** &nbsp;A basic understanding of Python-based data science tools (NumPy, pandas, matplotlib, etc.) and workflows (exploratory analysis, visualization, etc.) is required &ndash; if you have used Jupyter Notebooks, created environments using the conda package manager, and performed a `groupby` operation in pandas, you should be able to follow along with the talk comfortably. While not necessary, experiential knowledge of data workflows, previous experience working in a team, and familiarity with distributed computing principles will help you get the most value out of this talk.

Pavithra Eswaramoorthy

Collaboration Infrastructure in Data Science: Tools, Challenges and Best Practices

- &nbsp; &nbsp; Introduction to Generative AI (the technology behind AI tools like ChatGPT) with its applications and its importance in the future.
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- &nbsp; &nbsp; Introduction to Generative AI (the technology behind AI tools like ChatGPT) &amp; its applications. - Brief overview of Open source &amp; its importance in software development, collaboration, knowledge sharing etc. - &nbsp; &nbsp; How collaboration through open source will benefit Generative AI. - Showcasing popular Open source frameworks for Generative AI such as TensorFlow, PyTorch etc. &amp; exploring some successful open source generative AI projects. - How to contribute to AI open source projects with some resources to learn &amp; collaborate.

Aparna Soneja

Exploring Generative AI through the lens of Open source

Mental health concerns are a critical issue - 14% of adolescents suffer from disorders such as depression. Sadly, these often go unnoticed, making suicide the second leading cause of teenage death. Our solution, TEDDY (the Text-based Early Distress Detector for Youth), can identify early warning signs by analyzing student essays for language patterns associated with depressive or suicidal thoughts. It was built on a dataset of over 200,000 social media posts, trained with Logistic Regression and XGBoost, and deployed on a publicly accessible website using Streamlit. By running essays or reflection papers through TEDDY, even teachers who aren't trained to detect potential mental health concerns will be able to refer struggling students to school counselors for necessary support. Our goal is to increase accessibility to mental health support, reduce the stigma surrounding this subject, and enhance the lives of affected students.

Mona Obedoza

Project TEDDY (Text-based Early Distress Detector for Youth)

April Lueng

时间序列特征一键式提取神器-tsfresh

Tired of waiting for your Python app to fetch data from the database every time you load it up? Bored of staring at the screen, praying for it to speed up? Well, it's time to inject some excitement into your coding life with the power of caching!
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In this talk, we will explore the joys of data caching in Python and how it can turbocharge your code's performance. We'll dive deep into caching, explaining what it is and why it's crucial for optimizing code performance. We'll discuss various caching techniques and approaches, so you can take away practical knowledge on how to implement caching in Python.&nbsp; And wait, there's more! We'll also cover bottlenecks and things to consider when implementing caching to ensure optimal performance.&nbsp; By the end of this talk, you'll have a newfound appreciation for the power of caching and will be amazed at how easy it is to get started with caching. If you want to say "goodbye" to long load times and "hello" to efficient programming- this talk is for you.

Ria Bhatia

Cache me if you can: Boosting performance with Data Caching in Python

Are you a neurodivergent person who is struggling to learn Python? Are you an educator looking to support neurodivergent learners on their coding journey?

Lisa Marielle Cooper

Python Adventures for the Neurospicy

Sarah Huang

Micaela Reyes

Winnie Ke

Maaya Ishida

Joeun Park

Challenges for Women Working in Technology

In this talk, I will be sharing about the power of representation and its ability to help us move beyond our present circumstances. When we see an athlete perform at the Olympic games, particularly if we can identify a part of ourselves in them, this experience is transcendent. We feel their pain when they lose, reflect their joy when they win, and in many ways, we imagine that we can do what they do! This presentation will reflect on how we can utilize these shared experiences to understand the significance of representation, especially for marginalized communities, in the world of technology today. I will share my own experiences as a Zimbabwean woman working in tech and how representation, and in many cases the lack thereof, has affected me and others.
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This talk will cover representation in tech. It will have some code examples in it that show diversity statistics at some big tech companies and look at how these can affect women currently in the industry and women looking to join. I will share my own experiences being a woman in the Python community and how representation has helped and hurt in my journey.

Marlene Mhangami

Transcendence: The Power of Representation

Closing messages from PyLadies Conference organizers.

Conference Closing

Caroline Therwath-Chavier

Créer une communauté de 5000 expertes en apprentissage automatique : WiMLDS Paris

Promoting contributions by underrepresented groups in tech is essential for creating diversity and inclusion. By highlighting their achievements, we challenge stereotypes and inspire aspiring technologists from underrepresented backgrounds.
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My planned outline for the talk is as follows:
- Introduction (ca. 2 minutes) - Explaining the background of the project and why visibility is important (ca. 3 minutes) - Showcasing of both the repository and the bot (ca. 2 minutes) - Explanaining of the bot&rsquo;s architecture and set-up (ca. 5 minutes) - Providing a forward-looking perspective (upcoming features and future developments) (ca. 3 minutes)
I hope that the talk will inspire more PyLadies&rsquo; to share material publicly and to make the public perception of experts in the field more diverse.

Cosima Meyer

Sparkling Connections: Making PyLadies' Contributions Visible Through Mastodon Bots

PyLadies Ava is a fun open-source web app that helps community members generate a PyLady avatar they can identify with. This talk will walk through creating and deploying a complete application quickly. It will cover the design choices and how I acknowledged, accepted, and bypassed my knowledge gaps. But applications, however functional, need an idea to be successful! I will share how I came up with the project and found the spark that drove me to complete it. Make your own avatar here: &nbsp;https://pyladiesava.web.app.
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Mariana Bocoi

How and why I built a PyLadies avatar generator in 2 days

Cecilia Tivir

PyLadies Maputo - Construir uma comunidade que promove a diversidade, conecta, encoraja e desenvolve competências profissionais e humanas

Judit Guimera Busquets

Mujeres en tecnología: experiencias de una Principal Data Scientist

Marina Moro López

Usando Python para curar enfermedades genéticas

Python is dynamically typed, using type annotations is really helpful for team work. We have multiple way of working with types in Python: * TypeGuards for runtime check * Static typing, with MyPy running in the test suite This guide aims to explain the difference and how to befriend MyPy instead of seeing it as a source of frustration
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The talk is split in 3 parts: 1. Quick presentation of type annotation, typing module, collections, Protocols 2. What is static typing, how to setup MyPy using pyproject.toml, quick tips on how to annotate functions to avoid anti-patterns 3. When static typing isn't enough, good use of TypeGuards

Hana Burtin

Survival Guide to Typing in Python

"The Genie is out of the Bottle - Generative AI and Ethical Dilemmas&rdquo;
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Generative AI and Ethical Dilemmas covering deepfakes.

Sireesha Chavali

The Genie is Out of the Bottle -Generative AI

Djangonaut Space is a mentorship program that helps people contribute to Django. This was created following a panel discussion at DjangoCon US 2022. This talk explains how to organise such an event and the history of Djangonaut Space.
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Starting to contribute to a big project might be scary or you just don&rsquo;t know how to start. So it is not surprising that it is difficult to find new dedicated contributors to a project. This is something that Djangonaut Space organizers want to help with and make people feel that they are part of the community.&nbsp;
With that goal in mind, Djangonaut Space launched its first 3-month mentorship program in the Summer of 2023 mentoring 6 members of the Django community.
More information on Djangonaut Space here: https://djangonaut.space/
We will start with why the Django community felt there was a need for a mentorship program. This will include where this idea came from and how other communities might identify a similar need. Then we will go over how Djangonaut Space began. This will include the power of a pilot and what you will need to consider when organizing your own mentorship program.Finally we will see the outcomes of the Djangonaut Space program. This will cover our successes and what didn&rsquo;t work as we expected.
What can attendees learn: - How to organize a mentorship program for your own project community - Things to think about before you start one - All about Djangonaut Space

Sarah Abderemane

Djangonaut Space, how we organized a mentorship program

Andrea Griffiths

Beatris Mendez Gandica

Stefanni Cavaletto

Marian Villa

Yodra López

Empoderando a las Mujeres en la Industria Tecnológica: Experiencias y Perspectivas

Jimena Bermúdez

Tu voz en Python

In this talk, I will share my personal journey of how I was challenged to contribute to open source by bringing others into it, how it has helped me develop resilience, a growth mindset, and eventually finding purpose in it. I will discuss how I discovered the benefits of open source, overcame the challenges of contributing, became strategic about community building, embracing discomfort and ultimately found a sense of purpose and fulfillment in my contributions.
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Abigail Mesrenyame Dogbe

Starting my career, the Open Source way.

Rossana Suarez

IAcelearando despliegues poderosos

This talk is for devs who need to make an effective docs site but don't want to spend too long thinking about docs. You'll learn the minimum you need to know to make sure your docs are easy to set up, easy to maintain, and easy to use. Create effective docs quickly so you can get back to the rest of your project.
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Joanna Jablonski

How to Make a Docs Site: Shortcuts for Busy Devs

Learn how to use Python's built in unit testing frameworks. You'll learn how to mock out functions and objects, inspect mocked function calls, test asynchronously, and parametrize your test input. This talk does not require any previous python testing knowledge.
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You'll leave this talk able to do the following: - use Pytest to run your tests - use unittest.mock to create mocks of objects and functions - use unittest.patch to replace functions outside of the scope of your test - inspect the arguments your mocked functions are called with and assert against them - write asynchronous mocks - use the parametrize library to run your tests on a variety of different inputs

Jessie Newman

Testing in Python

Dive into the captivating world of Natural Language Processing as a Python developer! We'll explore intriguing NLP concepts like vector databases and word embeddings, have a better understanding of the fascinating realm of large language models and the art of prompting. Through an example, we'll see how to build Python applications powered by LLMs using Haystack.
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Natural Language Processing (NLP) is advancing at an unprecedented pace, with new large language models (LLMs) emerging almost daily. These models, coupled with innovative ideas, revolutionize how we build applications. However, for software developers, entering the field of NLP can be overwhelming because of all new NLP concepts.&nbsp;

Bilge Yücel

Build Your First LLM-based Application with Haystack

Mariana   Oliveira

Drones : Do Software ao Hardware!  Utilizando  conhecimentos sobre Python para desenvolver um drone de voo autônomo

Django-ninja &eacute; um framework web async bastante r&aacute;pido e poderoso para o desenvolvimento de APIs, sem abrir m&atilde;o nos recursos do Django que tanto amamos (isto &eacute;, admin + ORM).
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Django-ninja &eacute; um framework n&atilde;o muito popular nessa terra onde reina FastAPI, por&eacute;m bastante &uacute;til ao se tratar de desenvolvimento web. Assim como o Django Rest Framework (DRF), ele opera sobre o consolidado framework web Django, provendo maneiras bastante simples de construir APIs REST, e sua grande vantagem &eacute; utilizar Schemas baseados em Pydantic, o que o torna infinitamente mais r&aacute;pido que os Serializers do DRF, al&eacute;m tamb&eacute;m possuir suporte a async. Por operar sobre o Django, traz a grande vantagem de utilizar sua arquitetura bem organizada e intuitiva, todas as vantagens de j&aacute; possuir um ORM simples e conhecido, e a interface do admin para lidar com o banco de dados. Suas views s&atilde;o function baseds, extremamente simples e intuitivas, e ele j&aacute; gera automaticamente uma documenta&ccedil;&atilde;o de cada endpoint exposto no formato openapi, por isso a produtividade &eacute; muito boa! Nessa palestra, vou mostrar um resumo de suas funcionalidades para que mais pessoas considerem utilizar Django-ninja em suas aplica&ccedil;&otilde;es!

Ana Dulce Padovan

Django Ninja - uma excelente opção para o desenvolvimento web

Priscila Boyano

Pyladies Bioinfo Brasil

Lidiane Monteiro

Bianca Rosa

Ryllari Costa

Jess Temporal

Débora Azevedo

Vozes na Tecnologia: Contando Experiências na Indústria de Tecnologia

In this presentation, we will explore the intricate world of search quality assurance, exploring diverse methodologies and tools essential for evaluation. The journey begins with thoroughly examining implicit and explicit feedback mechanisms, shedding light on their role in enhancing search performance. We navigate the landscape of evaluation metrics, both online and offline, uncovering their significance in quantifying search effectiveness. The talk extends to the invaluable insights derived from domain expert evaluations, showcasing the methodology employed to leverage their expertise in refining search outcomes. Participants will see practical exemaples on crafting evaluation datasets and discover the power of continuous experimentation frameworks in optimizing search algorithms.
Finally, we'll explore open-source tools, focusing on Quepid, which offers comprehensive search quality assessment capabilities.

PyLadiesCon 2023

Agenda

Speakers.css-1ljejul{margin:0;font-size:1.4rem;font-weight:500;line-height:1.5;color:#cbcfd7;font-family:'Poppins',sans-serif;margin-left:0.8rem;}62 Speakers

Lynn Root

Mariatta Wijaya

Denny Perez

Denny Perez

Sophia Yang

Swarooprani Manoor

Pavithra Eswaramoorthy

Aparna Soneja

Mona Obedoza

April Lueng

Ria Bhatia

Bilge Yücel

Marlene Mhangami

Cosima Meyer

Mariana Bocoi

Cecilia Tivir

Judit Guimera Busquets

Marina Moro López

Hana Burtin

Sireesha Chavali

Sarah Abderemane

Andrea Griffiths

Beatris Mendez Gandica

Stefanni Cavaletto

Marian Villa

Jimena Bermúdez

Abigail Mesrenyame Dogbe

Rossana Suarez

Joanna Jablonski

Jessie Newman

Lisa Marielle Cooper

Mariana Oliveira

Ana Dulce Padovan

Priscila Boyano

Lidiane Monteiro

Bianca Rosa

Ryllari Costa

Jess Temporal

Débora Azevedo

Thais Viana

Caroline Therwath-Chavier

Lynn Root

Cristián Maureira-Fredes

Martin Borus

Sarah Huang

Maaya Ishida

Winnie Ke

Micaela Reyes

Joeun Park

Belinda Viva

Renier Viva

Savannah Ostrowski

Lena Lickteig

Monica Limachi

Lorena Mesa

Tania Allard

Sarah Adigwe

Yodra López

Maria Jose Molina Contreras

Elka Buitrago

Georgi Ker

Naomi Ceder

Speakers62 Speakers