StreamLit With Python -- Zero to Hero_1

StreamLit With Python || Zero to Hero, available at $59.99, has an average rating of 2.88, with 15 lectures, based on 4 reviews, and has 28 subscribers.

You will learn about Python Streamlit Machine Learning Heroku Deployment This course is ideal for individuals who are Python Developers or Web Application Developers or Developers looking to explore new stuff or Students interested to build their portfolio It is particularly useful for Python Developers or Web Application Developers or Developers looking to explore new stuff or Students interested to build their portfolio.

Enroll now: StreamLit With Python || Zero to Hero

Summary

Title: StreamLit With Python || Zero to Hero

Price: $59.99

Average Rating: 2.88

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Python

Streamlit

Machine Learning

Heroku Deployment

Who Should Attend

Python Developers

Web Application Developers

Developers looking to explore new stuff

Students interested to build their portfolio

Target Audiences

Python Developers

Web Application Developers

Developers looking to explore new stuff

Students interested to build their portfolio

Streamlit is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time. It is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy(latex), NumPy, pandas, Matplotlib etc. With Streamlit, no callbacks are needed since widgets are treated as variables. Data caching simplifies and speeds up computation pipelines. Streamlit watches for changes on updates of the linked Git repository and the application will be deployed automatically in the shared link.

This Course is designed to get started with python library called Streamlit for developing webapps on the go. It helps students to learn python and code some python projects into webapps with simple and few lines of code.

We will start from the scratch that what is StreamLit and the installation etc.

Requirements

Please ensure that you have the following:

Basic understanding of Programming

Python Programming Skills

Mid to high range PC/ Laptop

Windows 10/Ubuntu/Mac

What you’ll learn

Build a StreamLit Number Tracker App

Integrate Computer Vision into StreamLit

Implement Widgets, buttons and camera inputs

Python and StreamLit WebApp Development on Heroku

Are there any course requirements or prerequisites?

Python Programming Experience

Who this course is for:

Students who want to create presentable  web apps

Students who want to learn StreamLit and how to integrate it with amazing libraries in python

This is a practice along course. You can code along for maximum learning.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installation

Chapter 2: Streamlit Components

Lecture 1: Components

Chapter 3: Create Your First Streamlit App

Lecture 1: Coding the first App

Chapter 4: Deploy on Local machine

Lecture 1: Localhost to Ngrok

Chapter 5: API Reference

Lecture 1: Api Reference

Chapter 6: Apps

Lecture 1: Lottie Files

Lecture 2: Contact Locator

Lecture 3: Wikipedia Shorts App

Chapter 7: Playing with PDF

Lecture 1: PDF Unlocker

Lecture 2: PDF Merger

Chapter 8: Apps2

Lecture 1: Stock Analysis App

Lecture 2: Pencil Sketch App

Lecture 3: Habit Tracker

Chapter 9: Heroku Deploy

Lecture 1: Deploy app on heroku

Instructors

Meet Jethwa
Chatbot Developer || Instructor || Visiting Faculty

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 0 votes

5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!