Developing and Deploying Applications with Streamlit

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Avinash A

2:08:10

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1. Introduction

1.1 Flask Dash or Streamlit.pptx

1. Flash or Dash or Streamlit .mp4

06:02

2.1 Anaconda Windows.html

2.2 GitHub.html

2.3 GitHub Desktop.html

2.4 How To Set Up a Virtual Python Environment ( Linux).html

2.5 Python Virtual Environment Setup on Mac OSX - Easiest Way.html

2. Setting up Anaconda and GitHub.mp4

02:49

3.1 requirements.zip

3. Creative a virtual env in anaconda.mp4

06:08

4. Test Streamlit is working.mp4

00:51

2. Streamlit Library

1.1 streamlit demo1.zip

1.2 Text elements documentation.html

1. Display text information with streamlit.mp4

03:23

2.1 Data display elements Doc.html

2.2 streamlit demo data.zip

2. Display Data with streamlit.mp4

05:39

3.1 Chart Elements.html

3.2 streamlit demo charts.zip

3. Display charts with streamlit.mp4

04:45

4.1 image app.zip

4.2 Media Function documentation.html

4.3 streamlit demo audio video image.zip

4. Display media and code with streamlit.mp4

07:13

5.1 Altair.html

5.2 Matplotlib.html

5.3 Plotly.html

5.4 Seaborn.html

5.5 Streamlit Chart Elements.html

5.6 streamlit demo external lib charts.zip

5. Display chart using external libraries with streamlit.mp4

06:02

6. Streamlit Functions Quiz.html

3. Interactive widgets with streamlit

1.1 button.zip

1. Buttons.mp4

01:53

2.1 checkboxes.zip

2. Check Boxes.mp4

01:39

3.1 radio select box slider.zip

3. Single Item selection.mp4

01:24

4.1 multiitemselect.zip

4. Multi Item Selection.mp4

02:26

5.1 single multi line text input.zip

5. Input widgets - Single and multi line text.mp4

01:55

6.1 number input.zip

6. Input Widgets- number input.mp4

02:47

7.1 uploading file.zip

7. Uploading file.mp4

01:25

8.1 dowload file.zip

8. Download file.mp4

02:45

9. interactive widget quiz.html

4. Streamlit Layout

1.1 Columns.html

1.2 colums.zip

1.3 Expander.html

1.4 expander.zip

1.5 form.zip

1.6 Forms.html

1.7 Side Bar.html

1.8 sidebar.zip

1. Side Bar, Forms, Columns and Expander.mp4

09:59

2. Layout Quiz.html

5. Mutate Data

1.1 Mutate charts.html

1.2 mutate chart data.zip

1.3 mutate df data.zip

1. Mutate Tabular and Chart Data.mp4

03:48

2. Mutation Quiz.html

6. Instagram Filter

1.1 Instagram Filter GitHub Links.html

1.2 instagram filter working.zip

1. Instagram filters application demo.mp4

04:05

2.1 pencil1.zip

2. Coding Input Layout and accepting image from user.mp4

06:32

3.1 pencil sketch2.zip

3. Converting Input image to Sketch.mp4

12:34

4.1 Master List of Pilgram Instagram Filters.html

4.2 pencil sketch3.zip

4. Adding Instagram Filters Brannan and Mayfair.mp4

04:09

5.1 pencil sketch4.zip

5. Add Image Download Link.mp4

05:34

7. Build a YouTube Video downloader with pytube Api

1.1 Pytube Install and API s Documentation.html

1. Demo of YouTube Video Downloader we will be building.mp4

02:39

2.1 youtube pytube.zip

2. Coding and testing a YouTube Video downloader.mp4

16:42

8. Animate your charts with streamlit

1.1 animate chart.zip

1.2 Explore the Gapminder Dataset with Plotly Express.html

1. GDP per capita chart animation.mp4

03:02

Description

The fastest way to build and share data apps.

What You'll Learn?

Streamlit and its usefulness.
Streamlit's features that help up build web , data and machine learning application
Deploying streamlit applications on streamlit cloud
Personal Portfolio page hosted on streamlit cloud

Who is this for?

Anyone who is interested Python and Machine Learning

If you want to have a free portfolio page

What You Need to Know?

Basic knowledge of Python programing language

Willingness to learn or know SciKit Learn

Basic knowledge of HTML CSS

Willingness to learn or have prior knowledge of GitHub

More details

Description
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. Itâ€™s all Python, open-source, and free! And once youâ€™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 StreamlitÂ
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
CreatingÂ a personal portfolio page with streamlit
Deploy Application with StreamlitÂ Cloud
Content in progress to be uploaded soon
Concept of Sessions
NTLKÂ with streamlit
Working with SQLite
Connecting to database
Reading data from database
Writing DataÂ into database
Additional Apps
Static Code quality analyzer
No SQLÂ Job Board with FirebaseÂ API
Converting random forest model into streamlit application

Who this course is for:
Anyone who is interested Python and Machine Learning
If you want to have a free portfolio page

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Machine Learning

Avinash A

Instructor's Courses

I'm a Software Engineer with 10+ years of industry experience in software platform development. I have worked on wide array of technologies among them PHP, Azure , HPC , Databases and Python is where my core strength lies. Colleagues know me as a team player, technically sound individual who can always be trusted to come up with a out of the box solution. It has been my firm belief that the organizations interest comes first, and I never try to impose my ideas on others. Instead, I spend a considerable of time understanding the business and the audience before suggesting solutions. The desire to start a course on udemy to share with people the issues I faced with Software so I can help cut the red tape for projects and help increase productivity

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