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    <conference>
        <title>Python Nordeste 2026</title>
        <acronym>pyne2026</acronym>
        <start>2026-08-13</start>
        <end>2026-08-15</end>
        <days>3</days>
        <timeslot_duration>00:05</timeslot_duration>
        <base_url>https://talks.python.org.br</base_url>
        <logo>https://talks.python.org.br/media/pyne2026/img/logo_cLzKpOL.webp</logo>
        <time_zone_name>America/Bahia</time_zone_name>
        
        
        <track name="Iniciante" slug="87-iniciante"  color="#d5270b" />
        
        <track name="Intermediário" slug="88-intermediario"  color="#00ccff" />
        
        <track name="Avançado" slug="89-avancado"  color="#ff8c00" />
        
        <track name="Não-técnico" slug="90-nao-tecnico"  color="#23b00b" />
        
        <track name="Keynote" slug="130-keynote"  color="#113bb6" />
        
    </conference>
    <day index='1' date='2026-08-13' start='2026-08-13T04:00:00-03:00' end='2026-08-14T03:59:00-03:00'>
        <room name='Bloco E - lab E103' guid='8cd8d144-4f0a-5136-875a-8fe10ecbe7b7'>
            <event guid='0af129e1-e8b1-56bb-a6ef-13eb4b3b4975' id='1502' code='CKTJ7Y'>
                <room>Bloco E - lab E103</room>
                <title>An&#225;lise de Dados com SerpApi: Mapeando Tecnologias em Comunidades</title>
                <subtitle></subtitle>
                <type>Tutorial Longo</type>
                <date>2026-08-13T13:30:00-03:00</date>
                <start>13:30</start>
                <duration>04:20</duration>
                <abstract>Aprenda a construir um pipeline com SerpApi para mapear tecnologias em comunidades de TI. Descubra como extrair dados estruturados da web, cruzar com o mercado e gerar insights visuais para impulsionar grupos locais sem bloqueios.</abstract>
                <slug>pyne2026-1502-analise-de-dados-com-serpapi-mapeando-tecnologias-em-comunidades</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1298'>Ariana Rodrigues Cursino</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/CKTJ7Y/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/CKTJ7Y/feedback/</feedback_url>
            </event>
            
        </room>
        <room name='Bloco E - lab E106' guid='7e71fbec-8507-59b5-b888-0c3e59247adb'>
            <event guid='4b41a2d1-5c0d-54df-ad30-36eeedbcc7c4' id='1460' code='3R9DXN'>
                <room>Bloco E - lab E106</room>
                <title>Pr&#225;ticas de seguran&#231;a no FastAPI</title>
                <subtitle></subtitle>
                <type>Tutorial Curto</type>
                <date>2026-08-13T09:30:00-03:00</date>
                <start>09:30</start>
                <duration>02:00</duration>
                <abstract>O FastAPI &#233; atualmente um dos frameworks mais utilizados para APIs em Python. Por&#233;m ele n&#227;o inclui muitas pr&#225;ticas de seguran&#231;as necess&#225;rias, como o Django faz. O objetivo &#233; criar uma API com: CSP, CSRF, valida&#231;&#227;o de arquivos e rate-limit</abstract>
                <slug>pyne2026-1460-praticas-de-seguranca-no-fastapi</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1259'>Jo&#227;o Pedro</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/3R9DXN/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/3R9DXN/feedback/</feedback_url>
            </event>
            <event guid='49e10325-556c-504b-919a-17f41c6fd2fd' id='1450' code='MYNHH3'>
                <room>Bloco E - lab E106</room>
                <title>Criando seu primeiro bot para o telegram utilizando python</title>
                <subtitle></subtitle>
                <type>Tutorial Longo</type>
                <date>2026-08-13T14:00:00-03:00</date>
                <start>14:00</start>
                <duration>04:00</duration>
                <abstract>Nesta atividade, os participantes ir&#227;o desenvolver um bot para o Telegram utilizando Python e a biblioteca Pyrogram. A proposta &#233; apresentar o Pyrogram como uma alternativa poderosa para cria&#231;&#227;o de bots</abstract>
                <slug>pyne2026-1450-criando-seu-primeiro-bot-para-o-telegram-utilizando-python</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1255'>Bernardo De Castro</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/MYNHH3/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/MYNHH3/feedback/</feedback_url>
            </event>
            
        </room>
        <room name='Bloco E - lab E108' guid='f9314aa9-eab9-5faa-a635-d95d4e2b3f67'>
            <event guid='1ceeca4f-e39e-5f7e-a3a3-838abf2d9759' id='1481' code='9Z97RA'>
                <room>Bloco E - lab E108</room>
                <title>Python para Cidadania: Dados da C&#226;mara em ano eleitoral.</title>
                <subtitle></subtitle>
                <type>Tutorial Curto</type>
                <date>2026-08-13T09:30:00-03:00</date>
                <start>09:30</start>
                <duration>02:00</duration>
                <abstract>Tutorial pr&#225;tico de an&#225;lise de dados p&#250;blicos com Python usando a API da C&#226;mara dos Deputados. Vamos coletar, analisar e visualizar dados legislativos em um notebook no Google Colab. Propor&#231;&#227;o de mulheres por partido. Discursos. Gastos.</abstract>
                <slug>pyne2026-1481-python-para-cidadania-dados-da-camara-em-ano-eleitoral</slug>
                <track>Iniciante</track>
                
                <persons>
                    <person id='1278'>Fernando Masanori Ashikaga</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/9Z97RA/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/9Z97RA/feedback/</feedback_url>
            </event>
            <event guid='2b3fd5dd-32e5-5114-9098-37f5f6e73af4' id='1509' code='XYVSWB'>
                <room>Bloco E - lab E108</room>
                <title>Acelere sua An&#225;lise de Dados com Python e a Base dos Dados</title>
                <subtitle></subtitle>
                <type>Tutorial Curto</type>
                <date>2026-08-13T13:30:00-03:00</date>
                <start>13:30</start>
                <duration>02:00</duration>
                <abstract>Venha aprender como acessar e analisar mais de 700 tabelas de dados p&#250;blicos de uma maneira mais pr&#225;tica e r&#225;pida usando o pacote Python da Base dos Dados e nosso datalake p&#250;blico no BigQuery.</abstract>
                <slug>pyne2026-1509-acelere-sua-analise-de-dados-com-python-e-a-base-dos-dados</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1307'>Artemisia Weyl</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/XYVSWB/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/XYVSWB/feedback/</feedback_url>
            </event>
            <event guid='dd9ca025-0796-5c92-a636-d6bbc8aefcd1' id='1528' code='7WDUZW'>
                <room>Bloco E - lab E108</room>
                <title>Pok&#233;dex com esteroides: ReAct Agent, eu escolho voc&#234;!</title>
                <subtitle></subtitle>
                <type>Tutorial Curto</type>
                <date>2026-08-13T15:50:00-03:00</date>
                <start>15:50</start>
                <duration>02:00</duration>
                <abstract>Quem nunca fez uma Pok&#233;dex pra treinar API que atire a primeira pok&#233;bola? Dessa vez &#233; diferente: vamos construir uma que pensa, um ReAct Agent que escolhe sozinho a ferramenta e raciocina pra responder. Bora ser o mestre dos agentes?</abstract>
                <slug>pyne2026-1528-pokedex-com-esteroides-react-agent-eu-escolho-voce</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1330'>Lucas Praciano</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/7WDUZW/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/7WDUZW/feedback/</feedback_url>
            </event>
            
        </room>
        
    </day>
    <day index='2' date='2026-08-14' start='2026-08-14T04:00:00-03:00' end='2026-08-15T03:59:00-03:00'>
        <room name='Audit&#243;rio' guid='b11c4f8b-4b1e-54ae-b45d-c33445c4602a'>
            <event guid='b9a3b229-d7ae-5afa-a7e8-a4cc9ca54563' id='1469' code='3MHPAM'>
                <room>Audit&#243;rio</room>
                <title>Do modelo &#224; pr&#225;tica: deploy seguro de LLMs em produ&#231;&#227;o</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-14T09:10:00-03:00</date>
                <start>09:10</start>
                <duration>00:30</duration>
                <abstract>Vamos entender como funciona o deploy seguro de LLMs em produ&#231;&#227;o, vamos falar sobre como escolher o modelo certo, tratamento de entradas, custos, seguran&#231;a, mitiga&#231;&#227;o de vieses e tamb&#233;m do monitoramento p&#243;s-deploy.</abstract>
                <slug>pyne2026-1469-do-modelo-a-pratica-deploy-seguro-de-llms-em-producao</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1255'>Bernardo De Castro</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/3MHPAM/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/3MHPAM/feedback/</feedback_url>
            </event>
            <event guid='8be9cf09-a594-5c01-9a69-0162fca3608e' id='1488' code='K8WFWF'>
                <room>Audit&#243;rio</room>
                <title>o CRUD n&#227;o &#233; mais suficiente? padr&#245;es para escalar aplica&#231;&#245;es Python</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-14T09:40:00-03:00</date>
                <start>09:40</start>
                <duration>00:30</duration>
                <abstract>Sua aplica&#231;&#227;o FastAPI cresceu e o c&#243;digo desorganizou? Aprenda a escalar al&#233;m do CRUD b&#225;sico aplicando Arquitetura em Camadas, Repository Pattern, Service Layer e Clean Architecture. Focado em backend intermedi&#225;rio.</abstract>
                <slug>pyne2026-1488-o-crud-nao-e-mais-suficiente-padroes-para-escalar-aplicacoes-python</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1282'>Karine Duarte</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/K8WFWF/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/K8WFWF/feedback/</feedback_url>
            </event>
            <event guid='420a31c6-96cd-5abd-83db-4efc43ce9238' id='1489' code='LXUMGA'>
                <room>Audit&#243;rio</room>
                <title>Direitos Autorais e PI: Como proteger produtos de software</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-14T10:10:00-03:00</date>
                <start>10:10</start>
                <duration>00:30</duration>
                <abstract>Muito al&#233;m do c&#243;digo: descubra como proteger sua aplica&#231;&#227;o Python! Aprenda a diferen&#231;a entre registro de software e marca no INPI, evite armadilhas legais e garanta que sua ideia seja exclusiva antes de colocar no ar.</abstract>
                <slug>pyne2026-1489-direitos-autorais-e-pi-como-proteger-produtos-de-software</slug>
                <track>Iniciante</track>
                
                <persons>
                    <person id='1283'>Aldo Victor</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/LXUMGA/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/LXUMGA/feedback/</feedback_url>
            </event>
            <event guid='bc1698d3-133f-5545-92c3-75074e43f011' id='1510' code='NWJSVT'>
                <room>Audit&#243;rio</room>
                <title>Melhores Pr&#225;ticas de MLOps Usando Orquestrador Apache Airflow</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-14T10:40:00-03:00</date>
                <start>10:40</start>
                <duration>00:30</duration>
                <abstract>Palestra voltada &#224; aplica&#231;&#227;o de boas pr&#225;ticas de MLOps utilizando o Apache Airflow como orquestrador central de pipelines de machine learning, com foco em confiabilidade, reprodutibilidade e governan&#231;a de modelos em produ&#231;&#227;o.</abstract>
                <slug>pyne2026-1510-melhores-praticas-de-mlops-usando-orquestrador-apache-airflow</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1307'>Artemisia Weyl</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/NWJSVT/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/NWJSVT/feedback/</feedback_url>
            </event>
            <event guid='8dd42f28-d959-5867-b2ac-3ccd8cd85caa' id='1478' code='GQW7V8'>
                <room>Audit&#243;rio</room>
                <title>Testes Baseados em Propriedades</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-14T11:10:00-03:00</date>
                <start>11:10</start>
                <duration>00:30</duration>
                <abstract>Essa palestra aborda um tipo de teste chamado de &quot;teste de propriedades&quot; que muda o jeito de escrevermos testes do nosso c&#243;digo, ao inv&#233;s de usarmos exemplos n&#243;s definimos qual a &quot;&#225;rea&quot; das entradas do nosso c&#243;digo.</abstract>
                <slug>pyne2026-1478-testes-baseados-em-propriedades</slug>
                <track>Iniciante</track>
                
                <persons>
                    <person id='1272'>Pablo Henrique Aguilar</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/GQW7V8/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/GQW7V8/feedback/</feedback_url>
            </event>
            <event guid='3916f1a6-9d15-5789-b4c6-5cda4a4abde0' id='1504' code='JMBNLZ'>
                <room>Audit&#243;rio</room>
                <title>Falsa Medida Humana: a Ci&#234;ncia de Dados encontra o Racismo Cient&#237;fico</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-14T14:00:00-03:00</date>
                <start>14:00</start>
                <duration>00:30</duration>
                <abstract>Desafiando a caricatura de que n&#250;meros n&#227;o mentem, vamos discutir como os algoritmos de hoje, tal como as pol&#237;ticas racistas do passado, podem naturalizar preconceitos sob a &#233;gide da (suposta) neutralidade cient&#237;fica.</abstract>
                <slug>pyne2026-1504-falsa-medida-humana-a-ciencia-de-dados-encontra-o-racismo-cientifico</slug>
                <track>Não-técnico</track>
                
                <persons>
                    <person id='1301'>Matheus Moreira</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/JMBNLZ/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/JMBNLZ/feedback/</feedback_url>
            </event>
            <event guid='5377742c-9d1f-5cfb-84df-ebb231c5d3d4' id='1513' code='SNZ8AK'>
                <room>Audit&#243;rio</room>
                <title>Pellis: O python como olho cl&#237;nico</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-14T14:30:00-03:00</date>
                <start>14:30</start>
                <duration>00:30</duration>
                <abstract>Diagnosticar queimaduras a olho nu varia e o diagn&#243;stico pode ser prejudicado. No Lab. Vortex da Unifor, criamos o Pellis, um sistema de vis&#227;o computacional + IA em Python para tornar o diagn&#243;stico mais assertivo e discutiremos como.</abstract>
                <slug>pyne2026-1513-pellis-o-python-como-olho-clinico</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1310'>Jo&#227;o Igor Andrade</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/SNZ8AK/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/SNZ8AK/feedback/</feedback_url>
            </event>
            <event guid='34657794-79c3-5ef3-bdd3-1eb8ec63ffb7' id='1443' code='99KNBF'>
                <room>Audit&#243;rio</room>
                <title>Quando fica pronto? Como responder a pergunta mais dif&#237;cil do cliente</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-14T15:00:00-03:00</date>
                <start>15:00</start>
                <duration>00:30</duration>
                <abstract>Estimar software com base em &quot;chute&quot; ou Story Points costuma ser um exerc&#237;cio de frustra&#231;&#227;o. Mas e se pud&#233;ssemos usar o hist&#243;rico do seu time para prever o futuro com confian&#231;a estat&#237;stica, tanto para um item quanto para v&#225;rios, com Python?</abstract>
                <slug>pyne2026-1443-quando-fica-pronto-como-responder-a-pergunta-mais-dificil-do-cliente</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1249'>Rodrigo Vieira</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/99KNBF/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/99KNBF/feedback/</feedback_url>
            </event>
            <event guid='3d0c9cdc-53ff-5976-99db-102b29c50496' id='1549' code='ATQXKF'>
                <room>Audit&#243;rio</room>
                <title>Keynote</title>
                <subtitle></subtitle>
                <type>Keynote</type>
                <date>2026-08-14T16:30:00-03:00</date>
                <start>16:30</start>
                <duration>01:00</duration>
                <abstract>Engenheira de Software, professora de Computa&#231;&#227;o e mestranda pela UFRPE. Fundadora da InspirAda na Computa&#231;&#227;o, cofundadora do PyLadies Recife e vencedora do Pr&#234;mio Dorneles Trem&#233;a | Jean Ferri (2022), atua pela diversidade na tecnologia.</abstract>
                <slug>pyne2026-1549-keynote</slug>
                <track>Keynote</track>
                
                <persons>
                    <person id='1351'>Lidiane Monteiro</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/ATQXKF/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/ATQXKF/feedback/</feedback_url>
            </event>
            
        </room>
        
    </day>
    <day index='3' date='2026-08-15' start='2026-08-15T04:00:00-03:00' end='2026-08-16T03:59:00-03:00'>
        <room name='Audit&#243;rio' guid='b11c4f8b-4b1e-54ae-b45d-c33445c4602a'>
            <event guid='16c23b10-bb94-543c-8e96-c2fdf8e1bcdf' id='1485' code='RALLEU'>
                <room>Audit&#243;rio</room>
                <title>Bora brincar com a arquitetura Transformer? Do zero a um classificador</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-15T09:10:00-03:00</date>
                <start>09:10</start>
                <duration>00:30</duration>
                <abstract>N&#227;o h&#225; nada de &quot;m&#225;gico&quot; ou &quot;misterioso&quot; em como a arquitetura Transformer funciona. Veja uma implementa&#231;&#227;o do paper _Attention is all you need_ usando numpy + pytorch, e entenda como fiz um classificador de dados tabulares a partir dela.</abstract>
                <slug>pyne2026-1485-bora-brincar-com-a-arquitetura-transformer-do-zero-a-um-classificador</slug>
                <track>Avançado</track>
                
                <persons>
                    <person id='1280'>Gabriela Bezerra</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/RALLEU/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/RALLEU/feedback/</feedback_url>
            </event>
            <event guid='c110cc98-003e-5f2a-aea0-7c8b7337b397' id='1448' code='FHGJLC'>
                <room>Audit&#243;rio</room>
                <title>Ci&#234;ncia dos ratos: Dados no futebol com Python, JS e Vercel</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-15T09:40:00-03:00</date>
                <start>09:40</start>
                <duration>00:30</duration>
                <abstract>Como desenvolvi uma plataforma de dados voltada ao futebol unindo Python, JavaScript e Vercel, para criar um sistema de avalia&#231;&#227;o de desempenho e scout esportivo para o Clube N&#225;utico Capibaribe!</abstract>
                <slug>pyne2026-1448-ciencia-dos-ratos-dados-no-futebol-com-python-js-e-vercel</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1253'>Luis Vinicius</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/FHGJLC/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/FHGJLC/feedback/</feedback_url>
            </event>
            <event guid='8d087951-3306-5792-8001-5831fead8a83' id='1527' code='LCL8KQ'>
                <room>Audit&#243;rio</room>
                <title>Do Oceano ao C&#243;digo: Pontes Tecnol&#243;gicas nas Geoci&#234;ncias</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-15T10:10:00-03:00</date>
                <start>10:10</start>
                <duration>00:30</duration>
                <abstract>Da geof&#237;sica marinha &#224; TI: como uso Python para otimizar a ci&#234;ncia. Abordarei minha transi&#231;&#227;o de carreira e dois projetos pr&#225;ticos: automa&#231;&#227;o na identifica&#231;&#227;o de foramin&#237;feros e unifica&#231;&#227;o de dados geol&#243;gicos e geof&#237;sicos acumulados.</abstract>
                <slug>pyne2026-1527-do-oceano-ao-codigo-pontes-tecnologicas-nas-geociencias</slug>
                <track>Iniciante</track>
                
                <persons>
                    <person id='1329'>Andressa</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/LCL8KQ/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/LCL8KQ/feedback/</feedback_url>
            </event>
            <event guid='a052feaa-f0c4-5f62-bf43-9ffdd3129c27' id='1456' code='EQ9AV3'>
                <room>Audit&#243;rio</room>
                <title>Python Al&#233;m do C&#243;digo: Carreira com Dados na Ind&#250;stria Musical</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-15T10:40:00-03:00</date>
                <start>10:40</start>
                <duration>00:30</duration>
                <abstract>Python vai muito al&#233;m do c&#243;digo. Nesta palestra, compartilho como dados e automa&#231;&#245;es apoiam decis&#245;es no mercado da m&#250;sica e como profissionais podem construir carreira em uma &#225;rea ainda pouco explorada.</abstract>
                <slug>pyne2026-1456-python-alem-do-codigo-carreira-com-dados-na-industria-musical</slug>
                <track>Iniciante</track>
                
                <persons>
                    <person id='1256'>Ivanna Prata Sousa de Abreu</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/EQ9AV3/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/EQ9AV3/feedback/</feedback_url>
            </event>
            <event guid='3853ac93-0a2d-5496-bf94-3c5a5bbb918c' id='1550' code='PYGNHT'>
                <room>Audit&#243;rio</room>
                <title>Keynote</title>
                <subtitle></subtitle>
                <type>Keynote</type>
                <date>2026-08-15T11:10:00-03:00</date>
                <start>11:10</start>
                <duration>01:00</duration>
                <abstract>Keynote 2</abstract>
                <slug>pyne2026-1550-keynote</slug>
                <track>Keynote</track>
                
                <persons>
                    <person id='1352'>Lorena Pereira</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/PYGNHT/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/PYGNHT/feedback/</feedback_url>
            </event>
            <event guid='6de0ddc3-969c-58fa-9366-c03ea25cdf68' id='1512' code='9JSEBJ'>
                <room>Audit&#243;rio</room>
                <title>IA Sherlock Holmes: Usando Python e Grafos para ligar os pontos</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-15T14:00:00-03:00</date>
                <start>14:00</start>
                <duration>00:30</duration>
                <abstract>O RAG cl&#225;ssico sofre de amn&#233;sia: busca palavras, mas n&#227;o liga dados distantes. Aprenda a usar Python e Grafos para criar uma teia de conhecimento, transformando seus agentes de IA em detetives capazes de fazer dedu&#231;&#245;es reais.</abstract>
                <slug>pyne2026-1512-ia-sherlock-holmes-usando-python-e-grafos-para-ligar-os-pontos</slug>
                <track>Intermediário</track>
                
                <persons>
                    <person id='1309'>Nayara Valevskii</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/9JSEBJ/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/9JSEBJ/feedback/</feedback_url>
            </event>
            <event guid='c33d64df-b138-5240-9694-260140f8e4e8' id='1525' code='PDVP8U'>
                <room>Audit&#243;rio</room>
                <title>Coopera&#231;&#227;o internacional dentro da comunidade Python</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-15T14:30:00-03:00</date>
                <start>14:30</start>
                <duration>00:30</duration>
                <abstract>Nessa palestra vamos conversar um pouco sobre as diversas formas que podemos expandir a nossa contribui&#231;&#227;o para a comunidade Python de forma a ultrapassar as fronteiras dos pa&#237;ses de forma volunt&#225;ria.</abstract>
                <slug>pyne2026-1525-cooperacao-internacional-dentro-da-comunidade-python</slug>
                <track>Não-técnico</track>
                
                <persons>
                    <person id='1327'>D&#233;bora Azevedo</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/PDVP8U/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/PDVP8U/feedback/</feedback_url>
            </event>
            <event guid='5e00cc88-c55d-56df-ac42-bf9ce40ebfe2' id='1530' code='8XHQSE'>
                <room>Audit&#243;rio</room>
                <title>O Espelho da IA: o que nossas obje&#231;&#245;es contra a IA revelam sobre n&#243;s</title>
                <subtitle></subtitle>
                <type>Palestra</type>
                <date>2026-08-15T15:00:00-03:00</date>
                <start>15:00</start>
                <duration>00:30</duration>
                <abstract>Vamos derrubar, uma a uma, as principais cr&#237;ticas de que a IA n&#227;o &#233; inteligente: a biol&#243;gica, a estat&#237;stica, a anal&#243;gica, etc. Por tr&#225;s de todas, a mesma tend&#234;ncia, defender a exclusividade humana. Queremos ser especiais!</abstract>
                <slug>pyne2026-1530-o-espelho-da-ia-o-que-nossas-objecoes-contra-a-ia-revelam-sobre-nos</slug>
                <track>Não-técnico</track>
                
                <persons>
                    <person id='1330'>Lucas Praciano</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/8XHQSE/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/8XHQSE/feedback/</feedback_url>
            </event>
            <event guid='ace38e78-82e6-583a-956c-25a3501ad6a5' id='1551' code='U7CH9M'>
                <room>Audit&#243;rio</room>
                <title>Keynote</title>
                <subtitle></subtitle>
                <type>Keynote</type>
                <date>2026-08-15T16:30:00-03:00</date>
                <start>16:30</start>
                <duration>01:00</duration>
                <abstract>Keynote 3</abstract>
                <slug>pyne2026-1551-keynote</slug>
                <track>Keynote</track>
                
                <persons>
                    <person id='1353'>Ryllari Costa</person>
                </persons>
                <language>pt-br</language>
                
                <recording>
                    <license></license>
                    <optout>false</optout>
                </recording>
                <links></links>
                <attachments></attachments>

                <url>https://talks.python.org.br/pyne2026/talk/U7CH9M/</url>
                <feedback_url>https://talks.python.org.br/pyne2026/talk/U7CH9M/feedback/</feedback_url>
            </event>
            
        </room>
        
    </day>
    
</schedule>
