Transition from a back-end developer to a full-stack developer with knowledge of all the dimensions of web application development, namely, front-end, back-end and server-side software. This book provides a comprehensive overview of Streamlit, allowing developers and programmers of all backgrounds to get up to speed in as little time as possible.

Streamlit is a pure Python web framework that will bridge the skills gap and shorten development time from weeks to hours. This book walks you through the complete cycle of web application development, from an introductory to advanced level with accompanying source code and resources. You will be exposed to developing basic, intermediate, and sophisticated user interfaces and subsequently you will be acquainted with data visualization, database systems, application security, and cloud deployment in Streamlit.

In a market with a surplus demand for full stack developers, this skill set could not possibly come at a better time. In one sentence, Streamlit is a means for the empowerment of developers everywhere and all stand to gain from it.

What You'll Learn

• Mutate big data in real-time
• Visualize big data interactively
• Implement web application security and privacy protocols

• Deploy Streamlit web applications to the cloud using Streamlit, Linux and Windows servers
  Who is this Book for?

  Developers with solid programming experience wanting to learn Streamlit; Back-end developers looking to upskill and transition to become a full-stack developers; Those who wish to learn and become more acquainted with data visualization, database systems, security and cloud deployment with Steamlit

  Introduces Streamlit, the first pure Python framework for web development Provides a practical zero-to-hero guide to allow developers of all backgrounds get up to speed with Streamlit Empowers developers to upskill and transition to become full stack developers

  Autorentext
  Mohammad Khorasani A hybrid of an engineer and a computer scientist with a Bachelor's of Science in Mechanical Engineering from Texas A&M Uni­versity, and a Master's in Computer Science from the University of Illinois at Urbana-Champaign. Mohammad specializes in developing and implement­ing software solutions for the advancement of renewable energy systems and services at Iberdrola. In addition, he develops robotic devices using embed­ded systems and rapid prototyping technologies. He is also an avid blog-ger of STEM related topics on Towards Data Science - a Medium publica­tion.

Mohamed Abdou A Software Engineer with diverse academic and indus­trial exposure. A graduate of Computer Engineering from Qatar Uni­versity, and currently a SDE at Amazon. Mohamed has built a variety of open source tools used by tens of thousands in the Streamlit commu­nity. He led the first Google Developer Student Club in Qatar, and rep­resented Qatar University in national and international programming contests. He is a a cyber security enthusiast, and was ranked 2nd nationwide in bug bounty hunting in Qatar in 2020 among under 25 year old's.

Javier Hernandez Fernandez specializes in the area of technology innovation and brings over twenty years of practical experience in overseeing the design and delivery of technological developments on behalf of multi-national compa­nies in the fields of IT, telecom, and utilities. He publishes extensively, speaks at conferences around the world, and spends his days wading through piles of academic papers in the hope of finding something interesting. He holds Mas­ters' degrees in both Energy Management and Project Management, in addition to a B.Sc. in Computer Science from the from the Faculty of Engineering of the University of Ottawa.

Inhalt

Part I: Introduction to Streamlit

1 Getting Started with Streamlit

1.1 Why Streamlit?

1.2 How Streamlit Works

1.3 Firing it up

2 Streamlit Basics

2.1 The Streamlit API

2.2 Creating a basic app

Part II: Developing Advanced Interfaces and Applications

3 Architecting Streamlit's Front-end Design

3.1 Designing the application 3.2 Provisioning multi-page applications

3.3 Data wrangling

4 Graphing in Depth

4.1 Visualization stack

4.2 Exploring Plotly data visualizations

Part III: Interfacing with Database and Back-end Systems

5 Database Integration

5.1 Relational Databases

5.2 Non-relational databases

6 Back-end Servers

6.1 The need for back-end servers

6.2 Front-end/ Back-end Communication 6.3 Working with JSON files

6.4 Provisioning a back-end server

6.5 Multi-threading and multi-processing request

6.6 Connecting Streamlit to a Back-end Server

Part IV: Enforcing Application Security and Privacy

7 Session State

7.1 Introducing session IDs

7.2 Implementing session state persistently

7.3 Recording user insights

7.4 Implementing session state natively

7.5 Cookies management

8 Authentication and Application Security 8.1 Developing user accounts

8.2 Verifying user credentials

8.3 Secrets management

8.4 Anti-SQL injection measures with SQL Alchemy

8.5 Configuring Git Ignore variables

Part V: Deploying Streamlit to the Cloud

9 Persistent Deployment

9.1 Deployment to Streamlit Sharing

9.2 Deployment to Linux

9.3 Deployment to Windows Server

10 Exposing Local Streamlit to the World Wide Web

10.1 Port forwarding over network gateway

10.2 Reverse Port Forwarding using NGROK

Part VI: Streamlit Custom Components

11 Building Streamlit components with React.js

11.1 Introduction to Streamlit custom components

11.2 Using React.js to create custom HTML components

11.3 Deploying components as a Pip package

12 Extra-Streamlit-Components Package

12.1 Stepper bar

12.2 Splash screen . .

12.3 Tab bar

12.4 Cookie Manager

Part VII: Streamlit Case Studies

13 General Use Cases

13.1 Data science & machine learning applications

13.2 Dashboards and real-time applications

13.3 Time-series applications

13.4 Advanced application development

14 Steamlit at Work

14.1 Iberdrola Renewables

14.2 DummyLearn.com