Streamlit For Web Development
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Web App Development Made Simple With Streamlit
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Author : Rosario Moscato
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-02-09
Web App Development Made Simple With Streamlit written by Rosario Moscato and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-09 with Computers categories.
Unlock the full potential of Streamlit, mastering web app development from setup to deployment with practical guidance, advanced techniques, and real-world examples Key Features Identify and overcome web development challenges, crafting dedicated application skeletons using Streamlit Understand how Streamlit's widgets and components work to implement any kind of web app Manage web application development and deployment with ease using the Streamlit Cloud service Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book is a comprehensive guide to the Streamlit open-source Python library and simplifying the process of creating web applications. Through hands-on guidance and realistic examples, you’ll progress from crafting simple to sophisticated web applications from scratch. This book covers everything from understanding Streamlit's central principles, modules, basic features, and widgets to advanced skills such as dealing with databases, hashes, sessions, and multipages. Starting with fundamental concepts like operation systems virtualization, IDEs, development environments, widgets, scripting, and the anatomy of web apps, the initial chapters set the groundwork. You’ll then apply this knowledge to develop some real web apps, gradually advancing to more complex apps, incorporating features like natural language processing (NLP), computer vision, dashboards with interactive charts, file uploading, and much more. The book concludes by delving into the implementation of advanced skills and deployment techniques. By the end of this book, you’ll have transformed into a proficient developer, equipped with advanced skills for handling databases, implementing secure login processes, managing session states, creating multipage applications, and seamlessly deploying them on the cloud.What you will learn Develop interactive web apps with Streamlit and deploy them seamlessly on the cloud Acquire in-depth theoretical and practical expertise in using Streamlit for app development Use themes and customization for visually appealing web apps tailored to specific needs Implement advanced features including secure login, signup processes, file uploaders, and database connections Build a catalog of scripts and routines to efficiently implement new web apps Attain autonomy in adopting new Streamlit features rapidly and effectively Who this book is for This book is for Python programmers, web developers, computer science students, and IT enthusiasts with a foundation in Python (or any programming language) who have a passion for creating visually appealing applications. If you already know how to write programs, this book will help you evolve into an adept web application developer skilled at converting command-line tools into impressive, cloud-hosted applications.
Streamlit For Web Development
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Author : Mohammad Khorasani
language : en
Publisher: Springer Nature
Release Date : 2025-11-19
Streamlit For Web Development written by Mohammad Khorasani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-19 with Computers categories.
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. In this new edition, Streamlit for Web Development, 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 every-where and all stand to gain from it. You Will: Learn how to mutate big data in real-time Understand how to visualize big data interactively Implement web application security and privacy protocols How to successfully deploy Streamlit web applications to the cloud using Streamlit, Linux and Windows servers New For This Edition: Covers updates from the Streamlit 1.4 release Showcases Streamlit's latest UI features Expands on the use and development of Streamlit Components Introduces new chapters on unit testing and integrating AI with Streamlit Demonstrates the implementation of LLMs, chatbots, and generative AI applications 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 Streamlit
Web Application Development With Streamlit
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Author : Mohammad Khorasani
language : en
Publisher: Apress
Release Date : 2022-08-27
Web Application Development With Streamlit written by Mohammad Khorasani and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-27 with Computers categories.
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
Build Python Web Apps With Streamlit
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Author : Aneev Kochakadan
language : en
Publisher: Simon and Schuster
Release Date : 2026-02-23
Build Python Web Apps With Streamlit written by Aneev Kochakadan and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-02-23 with Computers categories.
Build amazing web apps with Streamlit and Python! The Streamlit framework empowers Python developers to build web applications quickly without writing a single line of HTML, CSS, or JavaScript. Build Python Web Apps with Streamlit lays out everything you need to quickly transform your app ideas into fully-fledged web applications using nothing but Python and your imagination. In Build Python Web Apps with Streamlit you'll learn how to: • Write web apps in pure Python • Prototype ideas into proof-of-concept in minutes • Build awesome front ends for AI apps and data visualizations • Deploy Streamlit apps in a variety of environments There’s no need to switch stacks just to add a web front-end to a Python application. This easy to use, lightweight toolkit is perfect for putting a friendly UI on an AI model or creating an interactive data dashboard. About the book Build Python Web Apps with Streamlit teaches you how to build great web and front-ends using the Streamlit framework and Python. You'll start with the basics by creating a password validator and a simple to-do list app. Then, you’ll progressively build your skills all the way to developing an executive dashboard, an AI chatbot, and an LLM-based searchable knowledge base. You’ll love the crystal-clear explanations and the interesting hands-on projects as you develop your Streamlit skills step by step. About the reader For Python programmers. No web app or AI skills required. About the author Aneev Kochakadan is a software engineer with a diverse background, from designing online transactional services and developing data pipelines to business intelligence and data interpretation. Aneev has refined his expertise at industry leaders like Google and Stripe
Mastering Web Development With Streamlit
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Author : Jaxon C Winslow
language : en
Publisher: Independently Published
Release Date : 2025-11-09
Mastering Web Development With Streamlit written by Jaxon C Winslow and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-09 with Education categories.
MASTERING WEB DEVELOPMENT WITH STREAMLIT is your complete guide to building powerful, interactive, and data-driven web applications - all with pure Python. Forget front-end complexity. Forget juggling HTML, CSS, and JavaScript. With Streamlit, you can turn your Python scripts into stunning, shareable web apps in minutes. This book takes you beyond the basics and shows you exactly how to design, automate, and deploy production-ready applications that stand out in performance and presentation. Whether you're a data scientist, analyst, machine learning engineer, or Python enthusiast, this hands-on guide will walk you through every step - from setting up your environment to publishing enterprise-level dashboards and AI-powered interfaces. You'll learn how to: Build sleek, interactive apps using widgets, forms, and real-time dashboards Display and manipulate data, charts, and media effortlessly Connect Streamlit to databases, APIs, AI models, and automation workflows Implement state management, caching, and background task execution for scalability Deploy apps seamlessly on Streamlit Cloud, AWS, Azure, and Heroku Extend Streamlit with custom components, plugins, and LangChain-powered AI tools Secure your applications with version control, secrets management, and user authentication Each chapter is designed to be practical, insightful, and immediately actionable - blending clean examples with professional best practices used by industry experts. By the end, you'll not only master Streamlit's capabilities but also understand how to architect complete systems that are fast, intelligent, and ready to deploy. Whether you aim to automate your workflows, build data dashboards, or launch AI-powered products, this book is your roadmap to mastering modern web development - the Streamlit way.
Beginner S Guide To Streamlit With Python
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Author : Sujay Raghavendra
language : en
Publisher: Apress
Release Date : 2022-12-17
Beginner S Guide To Streamlit With Python written by Sujay Raghavendra and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-17 with Computers categories.
This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and machine learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As you’ll see, Streamlit helps develop data-enhanced analytics, build dynamic user experiences, and showcases data for data science and machine learning models. Beginner's Guide to Streamlit with Python begins with the basics of Streamlit by demonstrating how to build a basic application and advances to visualization techniques and their features. Next, it covers the various aspects of a typical Streamlit web application, and explains how to manage flow control and status elements. You’ll also explore performance optimization techniques necessary for data modules in a Streamlit application. Following this, you’ll see how to deploy Streamlit applications on various platforms. The book concludes with a few prototype natural language processing apps with computer vision implemented using Streamlit. After reading this book, you will understand the concepts, functionalities, and performance of Streamlit, and be able to develop dynamic Streamlit web-based data and machine learning applications of your own. What You Will Learn How to start developing web applications using Streamlit What are Streamlit's components Media elements in Streamlit How to visualize data using various interactive and dynamic Python libraries How to implement models in Streamlit web applications Who This Book Is ForProfessionals working in data science and machine learning domains who want to showcase and deploy their work in a web application with no prior knowledge of web development.
Sustainable Blind Quantum Computing
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Author : Srinjoy Ganguly
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-09-09
Sustainable Blind Quantum Computing written by Srinjoy Ganguly and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-09 with Computers categories.
Quantum computing systems are powerful for allowing a client to perform any quantum computations from a remote quantum server while concealing the structure and content of the computation fall under the category of blind quantum computing (BQC). In BQC, the client delegates the quantum processing to one or more powerful quantum servers while retaining privacy over the input, computation and output. This makes it suitable for secure quantum cloud computing. This feature is powerful to ensure that even untrusted servers cannot learn the details of the user's computation. With quantum computing, there is a fast-growing need to transition from general-purpose quantum systems to customized architectures tailored to specific application requirements. This transition is critical while considering sustainability goals and financial limitations. With this advanced computing architecture, a custom system can optimize energy use, hardware complexity, and resource allocation to better serve individual user needs while staying within budgetary boundaries.
Getting Started With Streamlit For Data Science
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Author : Tyler Richards
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-08-20
Getting Started With Streamlit For Data Science written by Tyler Richards and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-20 with Computers categories.
Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit Key Features Learn how to showcase machine learning models in a Streamlit application effectively and efficiently Become an expert Streamlit creator by getting hands-on with complex application creation Discover how Streamlit enables you to create and deploy apps effortlessly Book DescriptionStreamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time. You'll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you’ll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps. By the end of this book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.What you will learn Set up your first development environment and create a basic Streamlit app from scratch Explore methods for uploading, downloading, and manipulating data in Streamlit apps Create dynamic visualizations in Streamlit using built-in and imported Python libraries Discover strategies for creating and deploying machine learning models in Streamlit Use Streamlit sharing for one-click deployment Beautify Streamlit apps using themes, Streamlit Components, and Streamlit sidebar Implement best practices for prototyping your data science work with Streamlit Who this book is for This book is for data scientists and machine learning enthusiasts who want to create web apps using Streamlit. Whether you’re a junior data scientist looking to deploy your first machine learning project in Python to improve your resume or a senior data scientist who wants to use Streamlit to make convincing and dynamic data analyses, this book will help you get there! Prior knowledge of Python programming will assist with understanding the concepts covered.
Cheminformatics Qsar And Machine Learning Applications For Novel Drug Development
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Author : Kunal Roy
language : en
Publisher: Elsevier
Release Date : 2023-05-23
Cheminformatics Qsar And Machine Learning Applications For Novel Drug Development written by Kunal Roy and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Medical categories.
Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning methods under is one of the strengths of the book.The first part of the content is devoted to establishing the foundations of the area. Here recent trends in computational modeling of drugs are presented. Other topics present in this part include QSAR in medicinal chemistry, structure-based methods, chemoinformatics and chemometric approaches, and machine learning methods in drug design. The second part focuses on methods and case studies including molecular descriptors, molecular similarity, structure-based based screening, homology modeling in protein structure predictions, molecular docking, stability of drug receptor interactions, deep learning and support vector machine in drug design. The third part of the book is dedicated to special topics, including dedicated chapters on topics ranging from de design of green pharmaceuticals to computational toxicology. The final part is dedicated to present the available tools and databases, including QSAR databases, free tools and databases in ligand and structure-based drug design, and machine learning resources for drug design. The final chapters discuss different web servers used for identification of various drug candidates. - Presents chemometrics, cheminformatics and machine learning methods under a single reference - Showcases the different structure-based, ligand-based and machine learning tools currently used in drug design - Highlights special topics of computational drug design and available tools and databases
Programming Large Language Models With Azure Open Ai
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Author : Francesco Esposito
language : en
Publisher: Microsoft Press
Release Date : 2024-04-03
Programming Large Language Models With Azure Open Ai written by Francesco Esposito and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-03 with Computers categories.
Use LLMs to build better business software applications Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming—with specific techniques for patterns and frameworks—unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. Artificial Intelligence expert Francesco Esposito helps you: Understand the history of large language models and conversational programming Apply prompting as a new way of coding Learn core prompting techniques and fundamental use-cases Engineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines Use natural language in code to define workflows and orchestrate existing APIs Master external LLM frameworks Evaluate responsible AI security, privacy, and accuracy concerns Explore the AI regulatory landscape Build and implement a personal assistant Apply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base Construct a conversational user interface For IT Professionals and Consultants For software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts For anyone else interested in natural language processing or real-world applications of human-like language in software