How to Develop and Containerize No-Code Analytics App using Streamlit and Docker | Python | AWS Data

Pubblicato il: 20 ottobre 2023
sul canale di: Databracket

240

Learn how to build a No-Code data analytics and visualization app on Streamlit for stats and plotting. Understand best practices to modularize Python code and containerize the app using Docker.

00:00 - Introduction
00:26 - Service walkthrough
04:12 - Code Explanation
17:45 - Dockerfile development
19:00 - Docker build
20:56 - Docker run

Live app 👉 https://no-code-analyticsapp.streamli...
Code repo 👉https://github.com/jayachandra27/demo...
Dynamic file load from S3 demo 👉    • Custom logic development for S3 to Colab d...

In this demo, we explore how to use Pythonic constructs and Streamlit functions to build an end-to-end automated no-code data analytics & visualization app and package it using docker for cloud deployments.

LET'S CONNECT!
📰 LinkedIn ➔   / jayachandra-sekhar-reddy
✉️ Telegram ➔ https://t.me/databracket
📖Medium ➔   / jay-reddy
📲 NewsLetter ➔ https://databracket.substack.com/

#nocode #data #python #analytics #dataengineering #dataengineers #cloud #aws #s3 #datalogic #docker #streamlit #devops #docker #cloudengineering #deployment #machinelearning #coding #programming #learning

In questa pagina del sito puoi guardare il video online How to Develop and Containerize No-Code Analytics App using Streamlit and Docker | Python | AWS Data della durata di ore minuti seconda in buona qualità , che l'utente ha caricato Databracket 20 ottobre 2023, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 240 volte e gli è piaciuto 7 spettatori. Buona visione!

994