Web App Development Made Simple With Streamlit


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Web App Development Made Simple with Streamlit


Web App Development Made Simple with Streamlit

Author: Rosario Moscato

language: en

Publisher: Packt Publishing Ltd

Release Date: 2024-02-09


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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.

Building Production-Grade Web Applications with Supabase


Building Production-Grade Web Applications with Supabase

Author: David Lorenz

language: en

Publisher: Packt Publishing Ltd

Release Date: 2024-08-09


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Craft resilient web applications with Supabase by leveraging advanced features such as authentication, data and user management, and seamless AI integration using its powerful Postgres infrastructure Key Features Learn how to integrate Supabase and Next.js to create powerful and scalable web apps Explore real-world scenarios with a multi-tenant ticket system Master real-time data handling, secure file storage, and application security enhancement, while discovering the full potential of the database beyond holding data Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDiscover the powerful capabilities of Supabase, the cutting-edge, open-source platform flipping the script on backend architecture. Guided by David Lorenz, a battle-tested software architect with over two decades of development experience, this book will transform the way you approach your projects and make you a Supabase expert. In this comprehensive guide, you'll build a secure, production-grade multi-tenant ticket system, seamlessly integrated with Next.js. You’ll build essential skills for effective data manipulation, authentication, and file storage, as well as master Supabase's advanced capabilities including automating tasks with cron scheduling, performing similarity searches with artificial intelligence, testing your database, and leveraging real-time updates. By the end of the book, you'll have a deeper understanding of the platform and be able to confidently utilize Supabase in your own web applications, all thanks to David's excellent expertise.What you will learn Explore essential features for effective web app development Handle user registration, login/logout processes, and user metadata Navigate multi-tenant applications and understand the potential pitfalls and best practices Discover how to implement real-time functionality Find out how to upload, download, and manipulate files Explore preventive measures against data manipulation and security breaches, ensuring robust web app security Increase efficiency and streamline task automation through personalized email communication, webhooks, and cron jobs Who this book is for This book is for developers looking for a hassle-free, universal solution to building robust apps using Supabase and its integration libraries. While a basic understanding of JavaScript is useful, it’s not essential as the book focuses on Supabase for creating high-performance web apps using Next.js. Experienced professionals from non-JavaScript backgrounds will find this book useful. Familiarity with Postgres, although helpful, is not mandatory as the book explains all the SQL statements used.

Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development


Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development

Author: Kunal Roy

language: en

Publisher: Elsevier

Release Date: 2023-05-23


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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