felipetufaile / insper_python_deploy

Insper Data Science Deploy

Insper-Data-Science-Deploy

PÓS-GRADUAÇÃO EM DATA SCIENCE E DECISÃO
https://www.insper.edu.br/pos-graduacao/programas-avancados/data-science-e-decisao/

Data Science Deploy

Professor @danielscarvalho

Pre-class videos:

• What is GitHub? https://www.youtube.com/watch?v=w3jLJU7DT5E
• Host a website using GitHub Pages #Shorts: https://www.youtube.com/watch?v=WqOXxoGSpbs
• The Art of Writing Software https://www.youtube.com/watch?v=QdVFvsCWXrA
• Unleash Your Innovation With Anaconda: https://www.youtube.com/watch?v=rYRpdGSgRno
• WSL2: Code faster on the Windows Subsystem for Linux! https://www.youtube.com/watch?v=MrZolfGm8Zk
• What Is REST API? Examples And How To Use It: https://www.youtube.com/watch?v=-mN3VyJuCjM

O que vamos estudar:

• Colaboração com Git & GitHub - CI/CD
• Crianção de WEB API com Flask
• Visão geral de computação em nuvem
  • Máquina Virtual (VSP - Virtual Private Server)
  • Serverless
  • Docker (Contêiners)
  • Functions
  • Ambientes
    • Microsoft Azure
    • Google Cloud Platform (GCP)
    • Oracle Cloud
• Linux CLI (Bash) - WSL2 - Ubuntu

Notas de aula (Classes notes):

• Deploy - Visão Geral

• Git & GitHub - Colaboração

• VPS Deploy - Linux (Maquina Virtual na GCP, Oracle Cloud e Microsoft Azure)

• Google App Engine - Serverless

• Google Cloud Run - Docker

• LAB - Docker no Azure

• PythonAnywhare - Fun - Anaconda

Avaliação:

• Quiz individual (50%): 12 quetões online no Blackboard (BD com 200 questões)
• LAB colaboração (50%): Acompanhar e participar das 3/4 aulas com atividades práticas (hands-on)
  • Deploy WEB API Python Flask local (WLS2 Linux Ubuntu)
  • Deploy WEB API Python Flask VSP Nuvem (VM Linux Ubuntu)
  • Deploy WEB API Python Flask Docker Nuvem
  • Git & GitHub

Nuvem:

Recurso gratuito para estudantes da Microsoft Azure

https://azure.microsoft.com/pt-br/free/students/

Referências Microsoft Azure:

• O guia do desenvolvedor para o Azure
• Fundamentals of Azure, 2ed, Microsoft Azure Essentials
• Learn Azure in a Month of Lunches

Bibliography:

Toda a bibliografia está disponível online:

• Pro Git, Scott Chacon and Ben Straub, Apress, 2ed, 2014, https://git-scm.com/book/en/v2
• Docker in Action, Jeff Nickoloff, Manning, 2ed, 2016, https://livebook.manning.com/book/docker-in-action-second-edition
• Google Cloud Platform in Action, JJ Geewax, 2018, https://livebook.manning.com/book/google-cloud-platform-in-action/
• Git Notes for Professionals, Stack Overflow, 2019: https://books.goalkicker.com/GitBook/
• Bash Notes for Professionals, Stack Overflow, 2019: https://books.goalkicker.com/BashBook/
• Linux for Professionals, Stack Overflow, 2019: https://books.goalkicker.com/LinuxBook/
• Practical Oracle Cloud Infrastructure: Infrastructure as a Service, Autonomous Database, Managed Kubernetes, and Serverless, by Michał Tomasz Jakóbczyk: https://ibook.pub/ql/practical-oracle-cloud-infrastructure-infrastructure-as-a-service-a
• Python Fluente, Luciano Ramalho, O’Reilly, 2ed, 2023: https://pythonfluente.com/
• An Introduction to Statistical Learning - Python: https://www.statlearning.com/

Extra:

• Release It! Design and Deploy Production-Ready Software, Michael T. Nygard, 2018
• The AI Playbook: Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge), Eric Siegel, 2024
• Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform, Pramod Singh, 2020

Temos também material e referências no Blackboard da nossa disciplina: https://insper.blackboard.com/