Udemy - Learn Streamlit Python

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Udemy - Learn Streamlit Python (Size: 9.68 GB)
  TutsNode.com.txt 63 B
  [TGx]Downloaded from torrentgalaxy.to .txt 585 B
  [TutsNode.com] -Learn Streamlit Python
  01 Introduction
  001 Introduction.en.srt 8.08 KB
  001 Introduction.mp4 21.26 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
  002 course-materials-learnstreamlit.zip 105.37 MB
  003 What is Streamlit_.en.srt 3.41 KB
  003 What is Streamlit_.mp4 9.54 MB
  004 Why Learn Streamlit_.en.srt 2.83 KB
  004 Why Learn Streamlit_.mp4 6.68 MB
  005 Overview of Streamlit Framework API.en.srt 7.09 KB
  005 Overview of Streamlit Framework API.mp4 17.49 MB
  006 Setup & Installation In Virutal Environment.en.srt 6.93 KB
  006 Setup & Installation In Virutal Environment.mp4 26.15 MB
  007 Exploring Streamlit.en.srt 11.42 KB
  007 Exploring Streamlit.mp4 39.85 MB
  008 Displaying Text In Streamlit.en.srt 12.2 KB
  008 Displaying Text In Streamlit.mp4 40.91 MB
  009 Behind the Source Code - Inspecting the Text.en.srt 3.58 KB
  009 Behind the Source Code - Inspecting the Text.mp4 23.53 MB
  010 Working with Colorful Bootstap-Like Text.en.srt 4.69 KB
  010 Working with Colorful Bootstap-Like Text.mp4 24.93 MB
  011 Displaying Results with St.write() _Superfunction_.en.srt 6.15 KB
  011 Displaying Results with St.write() _Superfunction_.mp4 26.57 MB
  012 Displaying Pandas DataFrame,Tables and JSON.en.srt 14.06 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 53.12 MB
  014 Working with Streamlit Widgets - Select, Multi-select,Sliders and Select Slider.en.srt 10.75 KB
  014 Working with Streamlit Widgets - Select, Multi-select,Sliders and Select Slider.mp4 51.41 MB
  015 Displaying and Working with Media Files -Images,Audio and Video.en.srt 10.21 KB
  015 Displaying and Working with Media Files -Images,Audio and Video.mp4 50.32 MB
  016 Working with Text Input - Receiving Input From User.en.srt 13.83 KB
  016 Working with Text Input - Receiving Input From User.mp4 54.27 MB
  017 How to Configure Streamlit Page.en.srt 17.88 KB
  017 How to Configure Streamlit Page.mp4 93.39 MB
  018 How to Update Streamlit & How to work with Beta Changes.en.srt 6.12 KB
  018 How to Update Streamlit & How to work with Beta Changes.mp4 36.61 MB
  019 Plotting In Streamlit _ Using Plotly.en.srt 7.53 KB
  019 Plotting In Streamlit _ Using Plotly.mp4 38.84 MB
  020 Working with File Uploads - Indepth Tutorial.en.srt 61.29 KB
  020 Working with File Uploads - Indepth Tutorial.mp4 376.69 MB
  020 file-upload-app.zip 59.78 KB
  021 Structuring Streamlit Apps.en.srt 22.88 KB
  021 Structuring Streamlit Apps.mp4 88.93 MB
  021 structuring-multiple-streamlit-apps-jcharistech.png 40.28 KB
  02 Module 02 - Data Visualization In Streamlit
  022 Plotting In Streamlit-Introduction.en.srt 3.32 KB
  022 Plotting In Streamlit-Introduction.mp4 7.6 MB
  023 Plotting In Streamlit _ Using St.pyplot For Matplotlib and Others.en.srt 14.13 KB
  023 Plotting In Streamlit _ Using St.pyplot For Matplotlib and Others.mp4 75.69 MB
  024 Plotting In Streamlit _ Bar Charts, Area Charts and Altair Charts.en.srt 18.74 KB
  024 Plotting In Streamlit _ Bar Charts, Area Charts and Altair Charts.mp4 100.57 MB
  025 Plotting In Streamlit _ Using Plotly.en.srt 7.53 KB
  025 Plotting In Streamlit _ Using Plotly.mp4 38.79 MB
  03 Module 02 - Streamlit Components
  026 Introduction to Streamlit Components.en.srt 4.49 KB
  026 Introduction to Streamlit Components.mp4 12.02 MB
  027 Working with Static Streamlit Components - HTML and IFrame.en.srt 24.27 KB
  027 Working with Static Streamlit Components - HTML and IFrame.mp4 130.03 MB
  04 Module 03 - Project Section - Building Streamlit Apps - NLP Apps
  028 Project - NLP & Summarization App.en.srt 8.84 KB
  028 Project - NLP & Summarization App.mp4 34.01 MB
  029 Project - Summarization App - Structuring the App.en.srt 20.35 KB
  029 Project - Summarization App - Structuring the App.mp4 95.99 MB
  030 Project - Summarization App -Adding the Summary Process (LexRank and TextRank).en.srt 23.61 KB
  030 Project - Summarization App -Adding the Summary Process (LexRank and TextRank).mp4 147.17 MB
  031 Project - Summarization App - Evaluating the Extractive Summary with Rouge.en.srt 12.63 KB
  031 Project - Summarization App - Evaluating the Extractive Summary with Rouge.mp4 88.37 MB
  032 Project - Text Analysis & NLP App.en.srt 6.96 KB
  032 Project - Text Analysis & NLP App.mp4 36.27 MB
  033 Project -Text Analysis & Spacy App - Structuring the App.en.srt 21.86 KB
  033 Project -Text Analysis & Spacy App - Structuring the App.mp4 117.38 MB
  034 Project - Text Analysis & Spacy App - Adding the Text Analysis Process.en.srt 24.72 KB
  034 Project - Text Analysis & Spacy App - Adding the Text Analysis Process.mp4 156.98 MB
  035 Project -Text Analysis & Spacy App - Word Statistics and Sentiment Analysis.en.srt 12.82 KB
  035 Project -Text Analysis & Spacy App - Word Statistics and Sentiment Analysis.mp4 101.46 MB
  036 Project - Text Analysis & Spacy App - Adding the Plots and Visualizations.en.srt 18.84 KB
  036 Project - Text Analysis & Spacy App - Adding the Plots and Visualizations.mp4 151.25 MB
  037 Project - Text Analysis & Spacy App - File Download of Results.en.srt 7.11 KB
  037 Project - Text Analysis & Spacy App - File Download of Results.mp4 54.09 MB
  038 Project - Text Analysis & Spacy App - File Upload (PDF,Txt and Docx).en.srt 20.29 KB
  038 Project - Text Analysis & Spacy App - File Upload (PDF,Txt and Docx).mp4 168.77 MB
  039 Project - Text Analysis & Spacy App - Refactoring and Modularize The App.en.srt 18.01 KB
  039 Project - Text Analysis & Spacy App - Refactoring and Modularize The App.mp4 142.49 MB
  040 Project - Text Analysis & Spacy App - Fixing Insufficient Data For Plot.en.srt 4.35 KB
  040 Project - Text Analysis & Spacy App - Fixing Insufficient Data For Plot.mp4 41.13 MB
  05 Module 03 - Project Section - Building Streamlit Apps - Text Analysis Apps
  041 Project 03 - Text Analysis App -Demo.en.srt 2.56 KB
  041 Project 03 - Text Analysis App -Demo.mp4 15.27 MB
  042 Project 03 - Text Analysis App -Building the App (Full Length).en.srt 71.83 KB
  042 Project 03 - Text Analysis App -Building the App (Full Length).mp4 456.94 MB
  06 Project - Building Streamlit Apps -Data Apps
  043 Project 01 - MetaData Extracton App - Demo.en.srt 10.52 KB
  043 Project 01 - MetaData Extracton App - Demo.mp4 46.51 MB
  044 Project 01 - MetaData Extraction App - Setting Up and Structuring the App.en.srt 21.42 KB
  044 Project 01 - MetaData Extraction App - Setting Up and Structuring the App.mp4 125.71 MB
  044 metadata-app-final.zip 70.36 KB
  045 Project 01 - MetaData Extraction App -Home Section.en.srt 16.43 KB
  045 Project 01 - MetaData Extraction App -Home Section.mp4 119.08 MB
  046 Project 01 - Building the File Upload Section.en.srt 34.67 KB
  046 Project 01 - Building the File Upload Section.mp4 240.97 MB
  047 Project 01 - MetaData Extraction App - Extraction Process.en.srt 35.78 KB
  047 Project 01 - MetaData Extraction App - Extraction Process.mp4 244.75 MB
  048 Project 01 - MetaData Extraction App - Adding Result Download.en.srt 22.95 KB
  048 Project 01 - MetaData Extraction App - Adding Result Download.mp4 155.25 MB
  049 Project 01 - MetaData Extracton App - Extracting MetaData From Audio files.en.srt 25.58 KB
  049 Project 01 - MetaData Extracton App - Extracting MetaData From Audio files.mp4 202.99 MB
  050 Project 01 - MetaData Extraction App - Extracting MetaData From PDF Section.en.srt 18.18 KB
  050 Project 01 - MetaData Extraction App - Extracting MetaData From PDF Section.mp4 151.91 MB
  051 Project 01 - MetaData Extraction App - Analytics and Monitor Section.en.srt 24.39 KB
  051 Project 01 - MetaData Extraction App - Analytics and Monitor Section.mp4 210.52 MB
  052 Static Code Analysis & Refactoring Streamlit App.en.srt 28.17 KB
  052 Static Code Analysis & Refactoring Streamlit App.mp4 184.07 MB
  07 Module 03 - Project Section - Building Streamlit Apps - Machine Learning Apps
  053 Project - Machine Learning Web App - Diabetes Prediction App -Demo.en.srt 9.79 KB
  053 Project - Machine Learning Web App - Diabetes Prediction App -Demo.mp4 43.88 MB
  054 Project - Diabetes Prediction App - Structuring the App.en.srt 22.88 KB
  054 Project - Diabetes Prediction App - Structuring the App.mp4 88.91 MB
  054 diabetes-prediction-ml-app.zip 632.59 KB
  055 Project -Diabetes Prediction App - Exploratory Data Analysis Section.en.srt 28.03 KB
  055 Project -Diabetes Prediction App - Exploratory Data Analysis Section.mp4 162.18 MB
  056 Project - Diabetes Prediction App - Plotting and Data Visualization.en.srt 36.78 KB
  056 Project - Diabetes Prediction App - Plotting and Data Visualization.mp4 232.5 MB
  057 Project - Diabetes Prediction App - Machine Learning Section.en.srt 20.88 KB
  057 Project - Diabetes Prediction App - Machine Learning Section.mp4 127.82 MB
  058 Project - Diabetes Prediction App - Applying the Models For Prediction.en.srt 24.24 KB
  058 Project - Diabetes Prediction App - Applying the Models For Prediction.mp4 137.51 MB
  059 Building the ML Model For Diabetes Prediction -Full Length.en.srt 96.26 KB
  059 Building the ML Model For Diabetes Prediction -Full Length.mp4 508.32 MB
  08 Project - Building Streamlit Apps - CRUD Apps (Create Read Update Delete)
  060 ToDo App in Streamlit - Full Length (CRUD).en.srt 99.09 KB
  060 ToDo App in Streamlit - Full Length (CRUD).mp4 728.94 MB
  060 todo-app.zip 221.76 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 78.42 MB
  09 Project - Building a CRUD(Create Read Update Delete) App In Streamlit
  062 Simple CRUD App in Streamlit - Demo.en.srt 7.49 KB
  062 Simple CRUD App in Streamlit - Demo.mp4 28.36 MB
  063 TaskList CRUD App - Structuring the App.en.srt 19.52 KB
  063 TaskList CRUD App - Structuring the App.mp4 104.71 MB
  063 tasklist-app.zip 232.46 KB
  064 TaskList CRUD App - Create (Adding Data To Database).en.srt 19.02 KB
  064 TaskList CRUD App - Create (Adding Data To Database).mp4 102.72 MB
  065 TaskList CRUD App - Update(Editing From the Front End).en.srt 23.91 KB
  065 TaskList CRUD App - Update(Editing From the Front End).mp4 175.38 MB
  066 TaskList CRUD App - Update the Database.en.srt 10.65 KB
  066 TaskList CRUD App - Update the Database.mp4 66.94 MB
  067 TaskList CRUD App - Deleting Data.en.srt 15.68 KB
  067 TaskList CRUD App - Deleting Data.mp4 118.85 MB
  068 TaskList CRUD App - Reading Data.en.srt 21.25 KB
  068 TaskList CRUD App - Reading Data.mp4 150.88 MB
  069 TaskList CRUD App - Analytics & Plots.en.srt 11.51 KB
  069 TaskList CRUD App - Analytics & Plots.mp4 87.62 MB
  10 Project - Build Streamlit Apps - End to End (StreamBible)
  070 StreamBible App - Demo.en.srt 4.96 KB
  070 StreamBible App - Demo.mp4 21.59 MB
  071 StreamBible App - Intro & App Structure,Single Verse Section.en.srt 75.51 KB
  071 StreamBible App - Intro & App Structure,Single Verse Section.mp4 518.99 MB
  071 streambible.zip 9.51 MB
  072 StreamBible App - Multiple Verses & Test Analysis Section.en.srt 70.69 KB
  072 StreamBible App - Multiple Verses & Test Analysis Section.mp4 586.05 MB
  11 Module 04 - Deploying Streamlit Apps
  073 Deploying Streamlit Apps - Using Docker.en.srt 36.07 KB
  073 Deploying Streamlit Apps - Using Docker.mp4 172.82 MB
  074 Deploying Streamlit Apps - Using Streamlit Sharing.en.srt 12.52 KB
  074 Deploying Streamlit Apps - Using Streamlit Sharing.mp4 63.86 MB
  075 Exploring Streamlit Sharing Dashboard.en.srt 9.52 KB
  075 Exploring Streamlit Sharing Dashboard.mp4 38.39 MB
  076 Deploying Streamlit Apps - On Google Cloud Platform.en.srt 24.96 KB
  076 Deploying Streamlit Apps - On Google Cloud Platform.mp4 108.64 MB
  077 Deploying Streamlit Apps - Using Heroku.en.srt 33.04 KB
  077 Deploying Streamlit Apps - Using Heroku.mp4 151.37 MB
  078 Deploying NLP Apps on Streamlit Sharing (Spacy,TextBlob) + Issues Fixed.en.srt 23.68 KB
  078 Deploying NLP Apps on Streamlit Sharing (Spacy,TextBlob) + Issues Fixed.mp4 164.49 MB

Description



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

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