Lambda3 Podcast 166 – .NET Conf 2019 - Lambda3 Podcast

What this episode covers

Nesse podcast falamos sobre as principais novidades que foram anunciadas no .NET Conf 2019! Para você que está sempre ligado aqui no Podcast da Lambda3, está aberta a temporada da PodPesquisa 2019 com um questionário feito sobre os hábitos de quem ouve podcasts brasileiro e nós queremos a sua opinião! Acesse o lb3.io/pp19 e responda a pesquisa respondendo os podcasts que você mais ouve. Feed do podcast: www.lambda3.com.br/feed/podcast Feed do podcast somente com episódios técnicos: www.lambda3.com.br/feed/podcast-tecnico Feed do podcast somente com episódios não técnicos: www.lambda3.com.br/feed/podcast-nao-tecnico Na imagem da esquerda para a direita: Sérgio Prates, Fernando Okuma, Lucas Teles e Robson Amorim Pauta: Visual Studio Xamarin ML.NET – Machine Learning com .NET Apache Spark para .NET IoT App Center Entity Framework Core 3.0 C# 8 Links Citados: Podcast sobre Machine Learning Podcast .NET Core 3 e ASP.NET Core 3 Documentação IoT no Windows 10 Anúncio HotReload Participantes: Fernando Okuma – @feokuma Lucas Teles – @lucasteles42 Robson Amorim – @amorimrob Sérgio Prates – @sergiopratess Errata: No podcast foi dito que o ML.NET roda em dispositivos IoT e Xamarin, entretanto isso ainda não é possível e está no roadmap da Microsoft. Edição: Compasso Coolab Créditos das músicas usadas neste programa: Music by Kevin MacLeod (incompetech.com) licensed under Creative Commons: By Attribution 3.0 – creativecommons.org/licenses/by/3.0

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Frequently Asked Questions

How long is this episode of Lambda3 Podcast?

This episode is 1 hour and 19 minutes long.

When was this Lambda3 Podcast episode published?

This episode was published on October 25, 2019.

What is this episode about?

Nesse podcast falamos sobre as principais novidades que foram anunciadas no .NET Conf 2019! Para você que está sempre ligado aqui no Podcast da Lambda3, está aberta a temporada da PodPesquisa 2019 com um questionário feito sobre os hábitos de quem...

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Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.