Udemy - Learn Streamlit Python

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 9.7 GB
  • Uploaded By tutsnode
  • Downloads 533
  • Last checked 2 days ago
  • Date uploaded 5 years ago
  • Seeders 9
  • Leechers 7

Infohash : 7E2C98BB728CAA9F1A7BAD3D8ED6683D9FED6E20




Description

Are you having difficulties trying to build web applications for your data science projects? Do you spend more time trying to create a simple MVP app with your data to show your clients and others? Then let me introduce you to Streamlit – a python framework for building web apps.

Welcome to the coolest online resource for learning how to create Data Science Apps and Machine Learning Web Apps using the

awesome Streamlit Framework and Python.

This course will teach you Streamlit – the python framework that saves you from spending days and weeks in creating

data science and machine learning web applications.

In this course we will cover everything you need to know concerning streamlit such as

Fundamentals and the Basics of Streamlit ;

– Working with Text

– Working with Widgets (Buttons,Sliders,

– Displaying Data

– Displaying Charts and Plots

– Working with Media Files (Audio,Images,Video)

– Streamlit Layouts

– File Uploads

– Streamlit Static Components

Creating cool data visualization apps
How to Build A Full Web Application with Streamlit

By the end of this exciting course you will be able to

Build data science apps in hours not days
Productionized your machine learning models into web apps using streamlit
Build some cools and fun data apps
Deploy your streamlit apps using Docker,Heroku,Streamlit Share and more

Join us as we explore the world of building Data and ML Apps.

See you in the Course,Stay blessed.

Tips for getting through the course

Please write or code along with us do not just watch,this will enhance your understanding.
You can regulate the speed and audio of the video as you wish,preferably at -0.75x if the speed is too fast for you.
Suggested Prerequisites is understanding of Python
This course is about Streamlit an ML Framework to create data apps in hours not weeks. We will try our best to cover some concepts for the beginner and the pro .

Who this course is for:

Beginner Python Developers curious about Streamlit
Data Scientist and ML Engineers who want to productionized their Models faster

Requirements

Basic understanding of Python programming language
Understand Machine Learning Concepts in Python
Determination and Desire to Learn New Things

Last Updated 12/2020

Files:

Learn Streamlit Python [TutsNode.com] -Learn Streamlit Python 08 Project - Building Streamlit Apps - CRUD Apps (Create Read Update Delete)
  • 060 ToDo App in Streamlit - Full Length (CRUD).mp4 (728.9 MB)
  • 060 ToDo App in Streamlit - Full Length (CRUD).en.srt (99.1 KB)
  • 060 todo-app.zip (221.8 KB)
  • 061 ToDo App In Streamlit- Deploying with Streamlit Sharing.en.srt (17.6 KB)
  • 061 ToDo App In Streamlit- Deploying with Streamlit Sharing.mp4 (78.4 MB)
01 Introduction
  • 001 Introduction.en.srt (8.1 KB)
  • 001 Introduction.mp4 (21.3 MB)
  • 002 course-materials-learnstreamlit.zip (105.4 MB)
  • 002 Where to Get Help and Quick Course Guide and Materials.en.srt (8.2 KB)
  • 002 Where to Get Help and Quick Course Guide and Materials.mp4 (29.7 MB)
  • 003 What is Streamlit_.en.srt (3.4 KB)
  • 003 What is Streamlit_.mp4 (9.5 MB)
  • 004 Why Learn Streamlit_.en.srt (2.8 KB)
  • 004 Why Learn Streamlit_.mp4 (6.7 MB)
  • 005 Overview of Streamlit Framework API.en.srt (7.1 KB)
  • 005 Overview of Streamlit Framework API.mp4 (17.5 MB)
  • 006 Setup & Installation In Virutal Environment.en.srt (6.9 KB)
  • 006 Setup & Installation In Virutal Environment.mp4 (26.1 MB)
  • 007 Exploring Streamlit.en.srt (11.4 KB)
  • 007 Exploring Streamlit.mp4 (39.8 MB)
  • 008 Displaying Text In Streamlit.en.srt (12.2 KB)
  • 008 Displaying Text In Streamlit.mp4 (40.9 MB)
  • 009 Behind the Source Code - Inspecting the Text.en.srt (3.6 KB)
  • 009 Behind the Source Code - Inspecting the Text.mp4 (23.5 MB)
  • 010 Working with Colorful Bootstap-Like Text.en.srt (4.7 KB)
  • 010 Working with Colorful Bootstap-Like Text.mp4 (24.9 MB)
  • 011 Displaying Results with St.write() _Superfunction_.en.srt (6.2 KB)
  • 011 Displaying Results with St.write() _Superfunction_.mp4 (26.6 MB)
  • 012 Displaying Pandas DataFrame,Tables and JSON.en.srt (14.1 KB)
  • 012 Displaying Pandas DataFrame,Tables and JSON.mp4 (62.2 MB)
  • 013 Working with Streamlit Widgets - Buttons,Radio Buttons and Checkbox.en.srt (12.2 KB)
  • 013 Working with Streamlit Widgets - Buttons,Radio Buttons and Checkbox.mp4 (53.1 MB)
  • 014 Working with Streamlit Widgets - Select, Multi-select,Sliders and Select Slider.en.srt (10.7 KB)
  • 014 Working with Streamlit Widgets - Select, Multi-select,Sliders and Select Slider.mp4 (51.4 MB)
  • 015 Displaying and Working with Media Files -Images,Audio and Video.en.srt (10.2 KB)
  • 015 Displaying and Working with Media Files -Images,Audio and Video.mp4 (50.3 MB)
  • 016 Working with Text Input - Receiving Input From User.en.srt (13.8 KB)
  • 016 Working with Text Input - Receiving Input From User.mp4 (54.3 MB)
  • 017 How to Configure Streamlit Page.en.srt (17.9 KB)
  • 017 How to Configure Streamlit Page.mp4 (93.4 MB)
  • 018 How to Update Streamlit & How to work with Beta Changes.en.srt (6.1 KB)
  • 018 How to Update Streamlit & How to work with Beta Changes.mp4 (36.6 MB)
  • 019 Plotting In Streamlit _ Using Plotly.en.srt (7.5 KB)
  • 019 Plotting In Streamlit _ Using Plotly.mp4 (38.8 MB)
  • 020 file-upload-app.zip (59.8 KB)
  • 020 Working with File Uploads - Indepth Tutorial.en.srt (61.3 KB)
  • 020 Working with File Uploads - Indepth Tutorial.mp4 (376.7 MB)
  • 021 Structuring Streamlit Apps.en.srt (22.9 KB)
  • 021 Structuring Streamlit Apps.mp4 (88.9 MB)
  • 021 structuring-multiple-streamlit-apps-jcharistech.png (40.3 KB)
02 Module 02 - Data Visualization In Streamlit
  • 022 Plotting In Streamlit-Introduction.en.srt (3.3 KB)
  • 022 Plotting In Streamlit-Introduction.mp4 (7.6 MB)
  • 023 Plotting In Streamlit _ Using St.pyplot For Matplotlib and Others.en.srt (14.1 KB)
  • 023 Plotting In Streamlit _ Using St.pyplot For Matplotlib and Others.mp4 (75.7 MB)
  • 024 Plotting In Streamlit _ Bar Charts, Area Charts and Altair Charts.en.srt (18.7 KB)
  • 024 Plotting In Streamlit _ Bar Charts, Area Charts and Altair Charts.mp4 (100.6 MB)
  • 025 Plotting In Streamlit _ Using Plotly.en.srt (7.5 KB)
  • 025 Plotting In Streamlit _ Using Plotly.mp4 (38.8 MB)
03 Module 02 - Streamlit Components
  • 026 Introduction to Streamlit Components.en.srt (4.5 KB)
  • 026 Introduction to Streamlit Components.mp4 (12.0 MB)
  • 027 Working with Static Streamlit Components - HTML and IFrame.en.srt (24.3 KB)
  • 027 Working with Static Streamlit Components - HTML and IFrame.mp4 (130.0 MB)
04 Module 03 - Project Section - Building Streamlit Apps - NLP Apps
  • 028 Project - NLP & Summarization App.en.srt (8.8 KB)
  • 028 Project - NLP & Summarization App.mp4 (34.0 MB)
  • 029 Project - Summarization App - Structuring the App.en.srt (20.3 KB)
  • 029 Project - Summarization App - Structuring the App.mp4 (96.0 MB)
  • 030 Project - Summarization App -Adding the Summary Process (LexRank and TextRank).en.srt (23.6 KB)
  • 030 Project - Summarization App -Adding the Summary Process (LexRank and TextRank).mp4 (147.2 MB)
  • 031 Project - Summarization App - Evaluating the Extractive Summary with Rouge.en.srt (12.6 KB)
  • 031 Project - Summarization App - Evaluating the Extractive Summary with Rouge.mp4 (88.4 MB)
  • 032 Project - Text Analysis & NLP App.en.srt (7.0 KB)
  • 032 Project - Text Analysis & NLP App.mp4 (36.3 MB)
  • 033 Project -Text Analysis & Spacy App - Structuring the App.en.srt (21.9 KB)
  • 033 Project -Text Analysis & Spacy App - Structuring the App.mp4 (117.4 MB)
  • 034 Project - Text Analysis & Spacy App - Adding the Text Analysis Process.en.srt (24.7 KB)
  • 034 Project - Text Analysis & Spacy App - Adding the Text Analysis Process.mp4 (157.0 MB)
  • 035 Project -Text Analysis & Spacy App - Word Statistics and Sentiment Analysis.en.srt (12.8 KB)
  • 035 Project -Text Analysis & Spacy App - Word Statistics and Sentiment Analysis.mp4 (101.5 MB)
  • 036 Project - Text Analysis & Spacy App - Adding the Plots and Visualizations.en.srt (18.8 KB)
  • 036 Project - Text Analysis & Spacy App - Adding the Plots and Visualizations.mp4 (151.2 MB)
  • 037 Project - Text Analysis & Spacy App - File Download of Results.en.srt (7.1 KB)
  • 037 Project - Text Analysis & Spacy App - File Download of Results.mp4 (54.1 MB)
  • 038 Project - Text Analysis & Spacy App - File Upload (PDF,Txt and Docx).en.srt (20.3 KB)
  • 038 Project - Text Analysis & Spacy App - File Upload (PDF,Txt and Docx).mp4 (168.8 MB)
  • 039 Project - Text Analysis & Spacy App - Refactoring and Modularize The App.en.srt (18.0 KB)
  • 039 Project - Text Analysis & Spacy App - Refactoring and Modularize The App.mp4 (142.5 MB)
  • 040 Project - Text Analysis & Spacy App - Fixing Insufficient Data For Plot.en.srt (4.3 KB)
  • 040 Project - Text Analysis & Spacy App - Fixing Insufficient Data For Plot.mp4 (41.1 MB)
05 Module 03 - Project Section - Building Streamlit Apps - Text Analysis Apps
  • 041 Project 03 - Text Analysis App -Demo.en.srt (2.6 KB)
  • 041 Project 03 - Text Analysis App -Demo.mp4 (15.3 MB)
  • 042 Project 03 - Text Analysis App -Building the App (Full Length).en.srt (71.8 KB)
  • 042 Project 03 - Text Analysis App -Building the App (Full Length).mp4 (456.9 MB)
06 Project - Building Streamlit Apps -Data Apps
  • 043 Project 01 - MetaData Extracton App - Demo.en.srt (10.5 KB)
  • 043 Project 01 - MetaData Extracton App - Demo.mp4 (46.5 MB)
  • 044 metadata-app-final.zip (70.4 KB)
  • 044 Project 01 - MetaData Extraction App - Setting Up and Structuring the App.en.srt (21.4 KB)
  • 044 Project 01 - MetaData Extraction App - Setting Up and Structuring the App.mp4 (125.7 MB)
  • 045 Project 01 - MetaData Extraction App -Home Section.en.srt (16.4 KB)
  • 045 Project 01 - MetaData Extraction App -Home Section.mp4 (119.1 MB)
  • 046 Project 01 - Building the File Upload Section.en.srt (34.7 KB)
  • 046 Project 01 - Building the File Upload Section.mp4 (241.0 MB)
  • 047 Project 01 - MetaData Extraction App - Extraction Process.en.srt (35.8 KB)
  • 047 Project 01 - MetaData Extraction App - Extraction Process.mp4 (244.8 MB)
  • 048 Project 01 - MetaData Extraction App - Adding Result Download.en.srt (23.0 KB)
  • 048 Project 01 - MetaData Extraction App - Adding Result Download.mp4 (155.2 MB)
  • 049 Project 01 - MetaData Extracton App - Extracting MetaData From Audio files.en.srt (25.6 KB)
  • 049 Project 01 - MetaData Extracton App - Extracting MetaData From Audio files.mp4 (203.0 MB)
  • 050 Project 01 - MetaData Extraction App - Extracting MetaData From PDF Section.en.srt (18.2 KB)
  • 050 Project 01 - MetaData Extraction App - Extracting MetaData From PDF Section.mp4 (151.9 MB)
  • 051 Project 01 - MetaData Extraction App - Analytics and Monitor Section.en.srt (24.4 KB)
  • 051 Project 01 - MetaData Extraction App - Analytics and Monitor Section.mp4 (210.5 MB)
  • 052 Static Code Analysis & Refactoring Streamlit App.en.srt (28.2 KB)
  • 052 Static Code Analysis & Refactoring Streamlit App.mp4 (184.1 MB)
07 Module 03 - Project Section - Building Streamlit Apps - Machine Learning Apps
  • 053 Project - Machine Learning Web App - Diabetes Prediction App -Demo.en.srt (9.8 KB)
  • 053 Project - Machine Learning Web App - Diabetes Prediction App -Demo.mp4 (43.9 MB)
  • 054 diabetes-prediction-ml-app.zip (632.6 KB)
  • 054 Project - Diabetes Prediction App - Structuring the App.en.srt (22.9 KB)
  • 054 Project - Diabetes Prediction App - Structuring the App.mp4 (88.9 MB)
  • 055 Project -Diabetes Prediction App - Exploratory Data Analysis Section.en.srt (28.0 KB)
  • 055 Project -Diabetes Prediction App - Exploratory Data Analysis Section.mp4 (162.2 MB)
  • 056 Project - Diabetes Prediction App - Plotting and Data Visualization.en.srt (36.8 KB)
  • 056 Project - Diabetes Prediction App - Plotting and Data Visualization.mp4 (232.5 MB)
  • 057 Project - Diabetes Prediction App - Machine Learning Section.en.srt (20.9 KB)
  • 057 Project - Diabetes Prediction App - Machine Learning Section.mp4 (127.8 MB)
  • 058 Project - Diabetes Prediction App - Applying the Models For Prediction.en.srt (24.2 KB)
  • 058 Project - Diabetes Prediction App - Applying the Models For Prediction.mp4 (137.5 MB)
  • 059 Building the ML Model For Diabetes Prediction -Full Length.en.srt (96.3 KB)
  • 059 Building the ML Model For Diabetes Prediction -Full Length.mp4 (508.3 MB)
09 Project - Building a CRUD(Create Read Update Delete) App In Streamlit
  • 062 Simple CRUD App in Streamlit - Demo.en.srt (7.5 KB)
  • 062 Simple CRUD App in Streamlit - Demo.mp4 (28.4 MB)
  • 063 TaskList CRUD App - Structuring the App.en.srt (19.5 KB)
  • 063 TaskList CRUD App - Structuring the App.mp4 (104.7 MB)
  • 063 tasklist-app.zip (232.5 KB)
  • 064 TaskList CRUD App - Create (Adding Data To Database).en.srt (19.0 KB)
  • 064 TaskList CRUD App - Create (Adding Data To Database).mp4 (102.7 MB)
  • 065 TaskList CRUD App - Update(Editing From the Front End).en.srt (23.9 KB)
  • 065 TaskList CRUD App - Update(Editing From the Front End).mp4 (175.4 MB)
  • 066 TaskList CRUD App - Update the Database.en.srt (10.7 KB)
  • 066 TaskList CRUD App - Update the Database.mp4 (66.9 MB)
  • 067 TaskList CRUD App - Deleting Data.en.srt (15.7 KB)
  • 067 TaskList CRUD App - Deleting Data.mp4 (118.9 MB)
  • 068 TaskList CRUD App - Reading Data.en.srt (21.3 KB)
  • 068 TaskList CRUD App - Reading Data.mp4 (150.9 MB)
  • 069 TaskList CRUD App - Analytics & Plots.en.srt (11.5 KB)
  • 069 TaskList CRUD App - Analytics & Plots.mp4 (87.6 MB)
10 Project - Build Streamlit Apps - End to End (StreamBible)
  • 070 StreamBible App - Demo.en.srt (5.0 KB)
  • 070 StreamBible App - Demo.mp4 (21.6 MB)
  • 071 StreamBible App - Intro & App Structure,Single Verse Section.en.srt (75.5 KB)
  • 071 StreamBible App - Intro & App Structure,Single Verse Section.mp4 (519.0 MB)
  • 071 streambible.zip (9.5 MB)
  • 072 StreamBible App - Multiple Verses & Test Analysis Section.en.srt (70.7 KB)
  • 072 StreamBible App - Multiple Verses & Test Analysis Section.mp4 (586.1 MB)
11 Module 04 - Deploying Streamlit Apps
  • 073 Deploying Streamlit Apps - Using Docker.en.srt (36.1 KB)
  • 073 Deploying Streamlit Apps - Using Docker.mp4 (172.8 MB)
  • 074 Deploying Streamlit Apps - Using Streamlit Sharing.en.srt (12.5 KB)
  • 074 Deploying Streamlit Apps - Using Streamlit Sharing.mp4 (63.9 MB)
  • 075 Exploring Streamlit Sharing Dashboard.en.srt (9.5 KB)
  • 075 Exploring Streamlit Sharing Dashboard.mp4 (38.4 MB)
  • 076 Deploying Streamlit Apps - On Google Cloud Platform.en.srt (25.0 KB)
  • 076 Deploying Streamlit Apps - On Google Cloud Platform.mp4 (108.6 MB)
  • 077 Deploying Streamlit Apps - Using Heroku.en.srt (33.0 KB)
  • 077 Deploying Streamlit Apps - Using Heroku.mp4 (151.4 MB)
  • 078 Deploying NLP Apps on Streamlit Sharing (Spacy,TextBlob) + Issues Fixed.en.srt (23.7 KB)
  • 078 Deploying NLP Apps on Streamlit Sharing (Spacy,TextBlob) + Issues Fixed.mp4 (164.5 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)

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