Streamlit Essentials
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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
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.
Pandas Essentials For Data Analysis
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18
Pandas Essentials For Data Analysis 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 2025-06-18 with Computers categories.
"Pandas Essentials for Data Analysis" Unlock the full power of data analysis with "Pandas Essentials for Data Analysis," a sophisticated and comprehensive resource for professionals, academics, and practitioners seeking mastery over the Pandas ecosystem. This book delves deeply into core structures such as Series and DataFrames, offering rigorous explanations of theoretical underpinnings, memory optimization, and performance nuances. Readers will gain practical fluency in advanced indexing, custom accessor creation, and seamless handling of diverse data types, preparing them to architect robust and efficient analytical pipelines. From high-performance data ingestion across heterogeneous sources to sophisticated data cleaning, transformation, and temporal analytics, the book provides actionable guidance on every aspect of the data workflow. Explore advanced topics such as imputation strategies, scalable join algorithms, and time series engineering, alongside best practices for ensuring data integrity, reproducibility, and automated validation. Extensive coverage is given to visualization, reporting, and the integration of Pandas with leading machine learning frameworks, ensuring your analyses are both insightful and production-ready. Through detailed case studies spanning finance, healthcare, web analytics, natural language processing, geospatial applications, and industrial IoT, "Pandas Essentials for Data Analysis" bridges the gap between foundational knowledge and real-world expertise. The final chapters expound on writing reliable, maintainable code and navigating evolving best practices in the Pandas and PyData landscape, equipping readers to confidently meet today’s demanding data challenges and tomorrow’s innovations.
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.
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
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.
Introduction To Python For Humanists
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Author : William Mattingly
language : en
Publisher: CRC Press
Release Date : 2023-07-26
Introduction To Python For Humanists written by William Mattingly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Business & Economics categories.
This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose. Key Features: Data analysis Data science Computational humanities Digital humanities Python Natural language processing Social network analysis App development
Deep Learning For Genomics
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Author : Upendra Kumar Devisetty
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-11-11
Deep Learning For Genomics written by Upendra Kumar Devisetty 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 2022-11-11 with Computers categories.
Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and biotechnology industries Key FeaturesApply deep learning algorithms to solve real-world problems in the field of genomicsExtract biological insights from deep learning models built from genomic datasetsTrain, tune, evaluate, deploy, and monitor deep learning models for enabling predictions in genomicsBook Description Deep learning has shown remarkable promise in the field of genomics; however, there is a lack of a skilled deep learning workforce in this discipline. This book will help researchers and data scientists to stand out from the rest of the crowd and solve real-world problems in genomics by developing the necessary skill set. Starting with an introduction to the essential concepts, this book highlights the power of deep learning in handling big data in genomics. First, you'll learn about conventional genomics analysis, then transition to state-of-the-art machine learning-based genomics applications, and finally dive into deep learning approaches for genomics. The book covers all of the important deep learning algorithms commonly used by the research community and goes into the details of what they are, how they work, and their practical applications in genomics. The book dedicates an entire section to operationalizing deep learning models, which will provide the necessary hands-on tutorials for researchers and any deep learning practitioners to build, tune, interpret, deploy, evaluate, and monitor deep learning models from genomics big data sets. By the end of this book, you'll have learned about the challenges, best practices, and pitfalls of deep learning for genomics. What you will learnDiscover the machine learning applications for genomicsExplore deep learning concepts and methodologies for genomics applicationsUnderstand supervised deep learning algorithms for genomics applicationsGet to grips with unsupervised deep learning with autoencodersImprove deep learning models using generative modelsOperationalize deep learning models from genomics datasetsVisualize and interpret deep learning modelsUnderstand deep learning challenges, pitfalls, and best practicesWho this book is for This deep learning book is for machine learning engineers, data scientists, and academicians practicing in the field of genomics. It assumes that readers have intermediate Python programming knowledge, basic knowledge of Python libraries such as NumPy and Pandas to manipulate and parse data, Matplotlib, and Seaborn for visualizing data, along with a base in genomics and genomic analysis concepts.
Prefect Workflow Orchestration Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-24
Prefect Workflow Orchestration 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 2025-06-24 with Computers categories.
"Prefect Workflow Orchestration Essentials" "Prefect Workflow Orchestration Essentials" is a comprehensive guide to building, deploying, and managing robust data workflows with Prefect—a modern, flexible orchestration platform designed to meet the demands of today’s data engineering landscape. The book introduces readers to the foundational principles behind workflow orchestration, examining the evolution of orchestration tools and Prefect’s architectural strengths in comparison to alternatives like Airflow, Luigi, and Dagster. Readers will gain a strategic understanding of Prefect’s conceptual model, deployment modes, and security considerations, equipping them to select and architect solutions that scale gracefully in diverse environments. Moving from theory into hands-on practice, the book offers deep dives into Prefect’s programming model, execution internals, and reliability patterns. Readers are guided through crafting parameterized flows and tasks, designing advanced control flows with custom triggers, and implementing best practices for fault tolerance, state management, and result caching. Coverage extends to distributed execution, observability, and performance tuning, ensuring workflows remain resilient and responsive at scale. The book also addresses operational excellence, laying out strategies for monitoring, incident response, cost control, and continuous workflow improvement through real-world case studies. With an eye towards the future, "Prefect Workflow Orchestration Essentials" explores integrations with contemporary data and DevOps ecosystems, advanced customization techniques, and the imperatives of security, compliance, and data governance. The text concludes by examining cutting-edge developments such as serverless and edge orchestration, AI-driven workflow automation, and the evolution of open-source standards. Whether you’re a data engineer, DevOps professional, or architect, this book delivers a self-contained reference to mastering Prefect and advancing workflow orchestration in modern data platforms.
Sustainability And Empowerment In The Context Of Digital Libraries
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Author : Gillian Oliver
language : en
Publisher: Springer Nature
Release Date : 2024-12-05
Sustainability And Empowerment In The Context Of Digital Libraries written by Gillian Oliver and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Computers categories.
The two-volume set LNCS 15493 and LNCS 15494 constitutes the refereed proceedings of the 26th International Conference on Asia-Pacific Digital Libraries, ICADL 2024, held in Bandar Sunway, Malaysia, during December 4–6, 2024. The 19 full papers, 10 short papers, 7 posters and 2 practice papers presented were carefully reviewed and selected from 110 submissions. These papers are included in both volumes of the proceedings, grouped according to the following topics: Cultural Data Analysis, Design & Evaluation, Generative AI & Digital Libraries, Information Retrieval, Information Seeking & Use (Part I) and Knowledge Extraction, Scholarly Information Processing, and Social Media Analytics in Part II.