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Developing and Deploying Applications with Streamlit | Udemy


Developing and Deploying Applications with Streamlit | Udemy

Developing and Deploying Applications with Streamlit | Udemy For two days completely 100% Free during everything you want to know The fastest way to build and share data apps.

This course is written by the very popular author from Udemy Avinash A The most recent update was August 3, 2021.The language of this course is English 🇺🇸, but also has subtitles (captions) in English [US] languages to better understand. This course is shared under the categories Development, Data Science, Streamlit

More than 4,113 students had already enrolled. in the Developing and Deploying Applications with Streamlit | Udemy Which makes it one of the more popular courses on Udemy. You can free coupon Code the course from the registration link below. It has a rating of 4.2 given by  (109 ratings), which also makes it one of the highest-rated courses at Udemy. 

The Udemy Developing and Deploying Applications with Streamlit free coupons also 4 hours on-demand video, 3 articles, 10 downloadable, resources, full lifetime, access on mobile and television, assignments, completion certificate and many more.

Is this course right for you?

If you are wondering what you will learn or what things this best Udemy courses  will teach you after getting courses Learn Developing and Deploying Applications with Streamlit | Udemy: Okay, here are a few things. 

  • Anyone who is interested Python and Machine Learning
  • If you want to have a free portfolio page

    Requirements Course:

      1. Basic knowledge of Python programing language
      2. Willingness to learn or know SciKit Learn
      3. Basic knowledge of HTML CSS
      4. Willingness to learn or have prior knowledge of GitHub

      Description Course:

      Streamlit is an open-source app framework for Machine Learning and Data Science teams.

      Streamlit lets you turn data scripts into shareable web apps in minutes. It’s all Python, open-source, and free! And once you’ve created an app you can use our cloud platform to deploy, manage, and share your app!

      In this course we will cover everything you need to know concerning streamlit such as
      • Installing Anaconda and create a virtual env
      • Installing Streamlit , pytube, firebase
      • Setting up GitHub account if you already don't have one
      • Display Information with Streamlit
      • Widgets with Streamlit 
      • Working with data frames ( Loading , Displaying )
      • Creating a image filter ( we use popular Instagram filters)
      • Creating a YouTube video downloader (using pytube api)
      pytube is a lightweight, dependency-free Python library which is used for downloading videos from the web

      Creating Interactive plots

      User selected input value for chart

      Animated Plot

      Introduction to Multipage Apps

      Structuring multipage apps

      Run a multipage app

      Adding pages

      Build a OCR - Image to text conversion with tesseract

      Content in progress to be uploaded soon

      Concept of Sessions

      NTLK with streamlit

      Creating  a personal portfolio page with streamlit

      Deploy Application with Streamlit  Cloud

      Working with SQLite

      Connecting to database

      Reading data from database

      Writing Data  into database

      Additional Apps

      Static Code quality analyzer

      No SQL Job Board with Firebase  API

      Converting random forest model into streamlit application

      What I am going to learn?

      • The benefits of cloud computing over traditional on-premises data centers.
      • Foundations of Cloud Computing Service Models
      • Setting up and navigating a Linode account
      • Securing a Linode account with TFA
      • Remote Server Administration via SSH
      • Securely Authenticating to a Virtual Instance Remotely using SSH Key Pairs
      • Foundations of the Linux Filesystem
      • Linux Maintenance and Configuration
      • Linux Use Accounts and System Security
      • Foundations of Web Servers
      • Foundations of DBMSes and Database Transaction Standards
      • Foundations of SQL vs NoSQL Databases
      • Installing and Configuring LAMP Stack on Ubuntu
      • Testing MariaDB & PHP on Apache
      • A Beginners Guide to Coding in PHP [Variables, Arrays, Functions, Loops, Conditional Statements, etc.)

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