Web Application Development with Streamlit: Develop and Deploy Secure and

Description: 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 Hernández Fernández 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. 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

Price: 123 AUD

Location: Hillsdale, NSW

End Time: 2024-11-07T20:39:25.000Z

Shipping Cost: 32.92 AUD