Streamlit Development Essentials
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Streamlit Development Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-15
Streamlit Development Essentials written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-15 with Computers categories.
"Streamlit Development Essentials" "Streamlit Development Essentials" is a comprehensive guide for software engineers, data scientists, and solution architects seeking to master the full capabilities of Streamlit for building robust, scalable, and secure data applications. The book delves into the inner workings of Streamlit’s architecture, offering a detailed look at event loops, widget state management, frontend-backend communication, and essential security considerations. Through expert explanations of performance profiling and cache operation, readers are equipped with the knowledge to optimize application flow, enhance interactivity, and safeguard sensitive computations from common threats. The book’s meticulously structured chapters unravel best practices for structuring large-scale Streamlit projects, implementing advanced visualization techniques, and integrating high-performance data pipelines. You will discover patterns for modularization, state management, and error handling, as well as practical tips for interfacing with diverse databases, orchestrating event-driven workflows, and seamlessly incorporating leading Python and JavaScript visualization libraries. Special attention is given to enterprise-grade deployment strategies, including containerization, cloud hosting, CI/CD automation, load balancing, and disaster recovery—empowering you to deliver applications ready for production at scale. Rounding out its core coverage, "Streamlit Development Essentials" navigates the challenges of security, authorization, and compliance—highlighting integration patterns for authentication, best practices for secrets management, and robust approaches to monitoring and observability. Advanced topics such as custom component development, internationalization, accessibility, and ecosystem extensibility are included, giving readers the tools to future-proof their solutions. Real-world case studies and emerging best practices culminate in a volume that is both a practical manual and a forward-looking resource for anyone building data apps on the Streamlit platform.
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 Essentials
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Author : Surabhi Pandey
language : en
Publisher: BPB Publications
Release Date : 2024-09-20
Streamlit Essentials written by Surabhi Pandey and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Computers categories.
DESCRIPTION Streamlit Essentials is a comprehensive guide aimed at helping you build interactive data applications using Python. With easy-to-use syntax, it allows developers to quickly build visualizations, dashboards, and machine learning models. This book is a practical guide to building data science applications using the Streamlit framework. It covers everything from installation to advanced topics like ML integration and deployment. With real-world projects and examples, you will learn how to use Streamlit's widgets, styling, and data visualization tools to create dynamic real-time dashboards, containerize your applications with Docker, securely handle sensitive data, and deploy the applications on leading cloud platforms, all while building practical projects that can be added to enhance your portfolio. Throughout the book, you will develop the skills needed to turn data insights into interactive visualizations, ensuring your projects are not only functional but also engaging. The focus is hands-on learning, with step-by-step guidance to help you build, optimize, and share your work. By the time you have completed this book, you will be able to confidently deploy applications, showcase your skills through a professional portfolio, and position yourself for success. KEY FEATURES ● Learn how to present data insights quickly and clearly using Streamlit for smoother collaboration between business and tech teams. ● Master Streamlit’s core and advanced features through hands-on projects like product recommenders. ● Build and deploy data applications while exploring over 25 project ideas to enhance your Streamlit skills. ● Explore the Gen AI toolkit to speed up your development cycle from ideation to deployment. WHAT YOU WILL LEARN ● Understanding of Streamlit's capabilities, from its core functionalities to advanced features. ● Create engaging and informative visualizations using Streamlit's extensive library of charts, graphs, and maps. ● Develop efficiently using time-saving techniques for rapid prototyping and iterative development. ● Optimize app performance with advanced topics like caching, session tracking, and theming. ● Create a compelling portfolio to demonstrate your Streamlit proficiency. WHO THIS BOOK IS FOR Whether you are a data scientist, analyst, developer, or business professional, this book will provide you with the knowledge and skills needed to build engaging and informative dashboards, visualizations, and ML models. TABLE OF CONTENTS 1. Introduction to Streamlit 2. Getting Started with Streamlit 3. Exploring Streamlit Widgets 4. Styling and Layouts in Streamlit 5. Data Visualization with Streamlit 6. Streamlit and Machine Learning 7. Advanced Streamlit Concepts 8. Deployment of Streamlit Apps 9. Hands-On Projects: Easy 10. Hands-On Projects: Intermediate 11. Hands-On Projects: Advanced 12. Build and Enhance Your Portfolio 13. Enhancing Streamlit Development with AI Tools Appendix A: Streamlit Cheat Sheet Appendix B: Additional Resources and References Appendix C: Docker 101: Beginner’s Guide to Containers
Building Chatbots Using Rag Technique With Langchain
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Author : Adnan Syed
language : en
Publisher: Adnan Syed
Release Date :
Building Chatbots Using Rag Technique With Langchain written by Adnan Syed and has been published by Adnan Syed this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Building RAG Chatbots with LangChain in Python" is a definitive guide crafted to empower developers, data scientists, and AI enthusiasts to master the creation of sophisticated chatbots utilizing the Retrieval-Augmented Generation (RAG) approach. This book unravels the intricate synergy between advanced natural language processing technologies and hands-on application development, with a focus on Python and prominent frameworks such as LangChain and Streamlit. From configuring your development environment to deploying dynamic, fully interactive AI chatbots, this manual offers a structured pathway through detailed instructions, real-world applications, and expert insights. Key Features: Deep Dive into RAG: Delve into the theoretical foundations and operational mechanics of Retrieval-Augmented Generation, understanding how it fuses retrieval-based and generative components to produce nuanced, contextually-aware responses. Practical Tutorials: Engage in comprehensive tutorials that guide you step-by-step through the intricacies of building a RAG-based chatbot from scratch, integrating essential components such as document loaders, text splitters, vector databases, and advanced generative models. Streamlit Integration: Learn to employ Streamlit to craft interactive user interfaces that facilitate real-time interactions with your chatbot, enhancing user experience with minimal frontend coding effort Why Read This Book? Bridge Theory and Practice: Seamlessly blend conceptual AI frameworks with tangible implementation strategies, enhancing both your theoretical understanding and practical skills. Hands-on Learning: Dive into practical examples, exercises, and code snippets that reinforce learning and facilitate a thorough understanding of complex topics. Innovation in AI: Position yourself at the forefront of AI technologies by mastering an innovative approach that integrates retrieval and generation for enhanced AI comprehension and response capabilities. Reader Takeaways: By the end of this book, readers will be well-equipped to design, build, and scale advanced RAG chatbots, possessing the necessary tools to innovate and implement state-of-the-art AI solutions effectively in various real-world scenarios. This book not only elevates the reader's technical skills but also enhances their capacity to drive significant advancements in AI applications. About the Author Adnan Syed is an experienced AI Engineer with a strong focus on Generative AI, Large Language Models (LLMs), and chatbots. With over five years of experience, Adnan has applied his expertise to various projects, optimizing operations and driving business growth through innovative AI solutions. He is also a passionate educator, having trained numerous students in data science and AI. Under the mentorship of his father, Syed Shahbaz, a renowned AI and tech genius, Adnan developed a deep love for data science and AI from an early age. His professional journey in data science began at NeuEra AI, later moving to TechZone Academy, where he continued to refine his skills and contribute to the AI community. Building on this experience, Adnan co-founded AI Buddy with his father, Syed Shahbaz, and other industry experts. AI Buddy is dedicated to democratizing AI education, ensuring that learners from all backgrounds have the opportunity to explore and master AI technologies.
Data Science Essentials For Dummies
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Author : Lillian Pierson
language : en
Publisher: John Wiley & Sons
Release Date : 2024-12-24
Data Science Essentials For Dummies written by Lillian Pierson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Computers categories.
Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Strengthen your understanding of data science basics Review what you've already learned or pick up key skills Effectively work with data and provide accessible materials to others Jog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.
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
Cognitive Computing Iccc 2024
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Author : Ruifeng Xu
language : en
Publisher: Springer Nature
Release Date : 2024-11-29
Cognitive Computing Iccc 2024 written by Ruifeng Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.
This book constitutes the refereed proceedings of the 8th International Conference on Cognitive Computing, ICCC 2024, Held as Part of the Services Conference Federation, SCF 2024, held in Bangkok, Thailand, during November 16–19, 2024. The 6 full papers and 2 short papers included in this book were carefully reviewed and selected from 10 submissions. They were organized in topical sections as follows: research track; application track; and short paper track.
Chatgpt For Enterprise
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Author : Jothi Periasamy
language : en
Publisher: Jothi Periasamy
Release Date : 2023-06-29
Chatgpt For Enterprise written by Jothi Periasamy and has been published by Jothi Periasamy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Computers categories.
With ChatGPT for Enterprise, large language models (LLM) are integrated into business processes and Generative AI visions become reality. To develop the book, several retail, energy, and education industry case studies were analyzed and explained from concept to implementation. By reading this book, readers will gain a deeper understanding of how to design and build business applications powered by ChatGPT and GPT. To accelerate the implementation of LLM through GPT and ChatGPT modules, we are sharing our GitHub links, as well as steps and procedures for training, testing, tuning, and deploying modules on Google Cloud Platform (GCP). While this book empowers both business and technical users, it is primarily intended for those interested in using CGPT or ChatGPT models in Generative AI or LLM. For professionals and those just getting started with Generative AI and LLM, this book is an excellent starting point for understanding foundational concepts and implementing advanced use cases using Google Cloud Platform.
Deploy Machine Learning Models To Production
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Author : Pramod Singh
language : en
Publisher: Apress
Release Date : 2020-12-15
Deploy Machine Learning Models To Production written by Pramod Singh and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Computers categories.
Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes. The book is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into production. It also offers guidance to those who want to move beyond Jupyter notebooks to training models at scale on cloud environments. All the code presented in the book is available in the form of Python scripts for you to try the examples and extend them in interesting ways. What You Will Learn Build, train, and deploy machine learning models at scale using Kubernetes Containerize any kind of machine learning model and run it on any platform using Docker Deploy machine learning and deep learning models using Flask and Streamlit frameworks Who This Book Is For Data engineers, data scientists, analysts, and machine learning and deep learning engineers
Python How To
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Author : Yong Cui
language : en
Publisher: Simon and Schuster
Release Date : 2023-08-22
Python How To written by Yong Cui 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 2023-08-22 with Computers categories.
Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques. Python How-To includes over 60 detailed answers to questions like: How do I join and split strings? How do I access dictionary keys, values, and items? How do I set and use the return value in function calls? How do I process JSON data? How do I create lazy attributes to improve performance? How do I change variables in a different namespace? …and much more Python How-To walks you through the most important coding techniques in Python. Whether you’re doing data science, building web applications, or writing admin scripts, you’ll find answers to your “how-to” questions in this book. Inside you’ll find important insights into both Python basics and deep-dive topics to help you skill-up at any stage of your Python career. Author Yong Cui’s clear and practical writing is instantly accessible and makes it easy to take advantage of Python’s versatile tools and libraries. Perfect to be read both from cover to cover, and whenever you need help troubleshooting your code. About the Technology Python How-To uses a simple but powerful method to lock in 63 core Python skills. You’ll start with a question, like “How do I find items in a sequence?” Next, you’ll see an example showing the basic solution in crystal-clear code. You’ll then explore interesting variations, such as finding substrings or identifying custom classes. Finally, you’ll practice with a challenge exercise before moving on to the next How-To. About the Book This practical guide covers all the language features you’ll need to get up and running with Python. As you go, you’ll explore best practices for writing great Python code. Practical suggestions and engaging graphics make each important technique come to life. Author Yong Cui’s careful cross-referencing reveals how you can reuse features and concepts in different contexts. What’s Inside How to: Join and split strings Access dictionary keys, values, and items Set and use the return value in function calls Process JSON data Create lazy attributes to improve performance Change variables in a different namespace …and much more. About the Reader For beginning to intermediate Python programmers. About the Author Dr. Yong Cui has been working with Python in bioscience for data analysis, machine learning, and tool development for over 15 years. Table of Contents 1 Developing a pragmatic learning strategy PART 1 - USING BUILT-IN DATA MODELS 2 Processing and formatting strings 3 Using built-in data containers 4 Dealing with sequence data 5 Iterables and iterations PART 2 - DEFINING FUNCTIONS 6 Defining user-friendly functions 7 Using functions beyond the basics PART 3 - DEFINING CLASSES 8 Defining user-friendly classes 9 Using classes beyond the basics PART 4 - MANIPULATING OBJECTS AND FILES 10 Fundamentals of objects 11 Dealing with files PART 5 - SAFEGUARDING THE CODEBASE 12 Logging and exception handling 13 Debugging and testing PART 6 - BUILDING A WEB APP 14 Completing a real project