Develop and Deploy Secure and Scalable Web Applications to the Cloud Using a Pure Python Framework
Buch, Englisch, 480 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 761 g
ISBN: 978-1-4842-8110-9
Verlag: Apress
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 SteamlitZielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Webprogrammierung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
- Mathematik | Informatik EDV | Informatik Betriebssysteme Linux Betriebssysteme, Open Source Betriebssysteme
Weitere Infos & Material
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 applications3.3 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 files6.4 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 accounts8.2 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




