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Beginner S Guide To Streamlit With Python


Beginner S Guide To Streamlit With Python
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Beginner S Guide To Streamlit With Python


Beginner S Guide To Streamlit With Python
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Author : Sujay Raghavendra
language : en
Publisher:
Release Date : 2023

Beginner S Guide To Streamlit With Python written by Sujay Raghavendra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with 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. You will: Start developing web applications using Streamlit Understand Streamlit's components Utilize media elements in Streamlit Visualize data using various interactive and dynamic Python libraries Implement models in Streamlit web applications.



A Beginner S Guide To Streamlit For Data Science


A Beginner S Guide To Streamlit For Data Science
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Author : Partha Mishra
language : en
Publisher: Partha Mishra
Release Date : 2023-09-04

A Beginner S Guide To Streamlit For Data Science written by Partha Mishra and has been published by Partha Mishra this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-04 with Computers categories.


This guide is for anyone interested in learning about Streamlit I believe in learning the subject hands-on, so all the topics discussed will be immediately followed by examples, which allow you to understand the expected output. I assume that you have a beginner-level knowledge of Python and have it installed in your system. I have designed the book so that each chapter corresponds to a specific concept so that even an absolute beginners can follow. By the end of the book, you will have a proper understanding of how to create dynamic applications which are frequently used in the data science industry and confidently use the new skill in your day-to-day coding activities. Topics Covered: Chapter 1: Introduction to Streamlit Chapter 2: Installing and Setting Up Streamlit Chapter 3: Coding our first application in Streamlit Chapter 4: Displaying Text in Streamlit Chapter 5: Displaying Data in Streamlit Chapter 6: Displaying Plots in Streamlit Chapter 7: Accepting User Inputs in Streamlit Applications Chapter 8: Displaying Media in Streamlit Chapter 9: Arranging the Layout in Streamlit Chapter 10: Displaying Status Animations in Streamlit



Data Science With Python Guide For Beginners


Data Science With Python Guide For Beginners
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Author : Mustafa Ali
language : en
Publisher: Mustafa Ali
Release Date : 2024-02-01

Data Science With Python Guide For Beginners written by Mustafa Ali and has been published by Mustafa Ali this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-01 with Computers categories.


Python's Reign in Data Science: Its intuitive syntax, robust libraries (pandas, NumPy, scikit-learn), and active community make Python the lingua franca of data analysis.



Getting Started With Streamlit For Data Science


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.



Python Basics To Beyond A Complete Guide For Beginners And Aspiring Developers


Python Basics To Beyond A Complete Guide For Beginners And Aspiring Developers
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Author : Prasun Baarua
language : en
Publisher: Prasun Barua
Release Date :

Python Basics To Beyond A Complete Guide For Beginners And Aspiring Developers written by Prasun Baarua and has been published by Prasun Barua this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Python Basics to Beyond: A Complete Guide for Beginners and Aspiring Developers is your step-by-step journey into the world of Python programming. Designed for absolute beginners, this book gradually builds your understanding through 25 comprehensive chapters — from writing your first line of code to mastering real-time data processing and professional coding practices. You'll learn: - Core Python syntax and data structures - Functions, loops, conditionals, and error handling - File handling, object-oriented programming, and modules - Working with libraries like matplotlib, requests, and socket - Real-world applications including data visualization, web scraping, and real-time systems - Advanced techniques like decorators, generators, context managers, testing, and type hinting Packed with hands-on examples, best practices, and clear explanations, this book empowers you to write clean, efficient, and maintainable Python code—ready for real-world use or your next technical interview. Whether you're learning to code, switching careers, or enhancing your skills, this book is your complete Python foundation.



Web App Development Made Simple With Streamlit


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.



Java Testing With Selenium


Java Testing With Selenium
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Author : Sujay Raghavendra
language : en
Publisher: Springer Nature
Release Date : 2024-06-19

Java Testing With Selenium written by Sujay Raghavendra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-19 with Computers categories.


Master the art of automated testing using Selenium with Java in this comprehensive guide. Whether you're a beginner or an experienced tester, the book equips you with the knowledge and techniques to build robust and maintainable test suites, ensuring the quality and reliability of your web applications. This book starts introducing the basics of automated testing and the importance of Selenium. It then covers the setup and configuration of the Selenium WebDriver in Java, providing a solid foundation for your testing environment. You'll learn essential aspects of Selenium testing in Java, including working with different browsers, locating web elements using locators, and performing actions on them. From there, you’ll explore how to handle dynamic web pages and effective wait mechanisms and verifications to ensure accurate and reliable test results. The book also guides you in setting up Selenium in Java for continuous integration and emphasizes best practices for test codeorganization and maintainability, such as the Page Object Model (POM) and structuring test suites effectively. By the end, you’ll have the expertise to address advanced scenarios, such as working with iframes, and know how TestNG enhances Selenium automation, enabling structured tests, data-driven insights, and swift parallel executions. Throughout the book, you'll benefit from real-world examples and practical exercises that reinforce the concepts. The clear explanations and step-by-step guidance make it easy to follow along and apply the knowledge to your own testing projects. What You Will Learn Understand the fundamentals of automated testing and the role of Selenium in web application testing Set up the Selenium WebDriver in Java and configure the testing environment Work with different web browsers and their drivers to perform cross-browser testing Identify and locate web elements using various locators, such as IDs, class names, CSS selectors, and XPath expressions Perform actions on web elements, such as clicking buttons, entering text, submitting forms, and navigating through web pages Handle dynamic pages by implementing effective wait mechanisms, including implicit waits, explicit waits, and fluent waits Verify and assert expected conditions and outcomes using assertions and verification techniques provided by Selenium in Java Apply best practices for test code organization and maintainability, including using the Page Object Model (POM) design pattern Handle advanced scenarios, such as working with iframes, and elevating Selenium automation through TestNG’s structured frameworks, data utilization, and parallel processing Who This Book For Software testers, quality assurance professionals, and developers interested in mastering automated testing with Selenium and Java. Suitable for various experience levels. Offers practical insights and techniques to automate web application testing accurately and reliably. Benefits testers, developers, and individuals familiar with Java and web testing, empowering them to write robust, maintainable test code and integrate Selenium seamlessly into their workflows.



Python For Absolute Beginners


Python For Absolute Beginners
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Author : Lucas Everett
language : en
Publisher: Megan Hollis
Release Date : 2025-06-13

Python For Absolute Beginners written by Lucas Everett and has been published by Megan Hollis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.


Want to learn Python and start coding real apps in just 7 days? Start from scratch—even if you’ve never written a single line of code—and build real projects you’ll be proud of. In this beginner-friendly crash course, you'll learn Python the easy way with hands-on projects, clear step-by-step instructions, and zero fluff. Whether you're a total newbie, a student, or just curious about coding, this book will get you started the right way. ✅ No prior experience needed ✅ Build real-world apps in 7 days ✅ Master the fundamentals fast ✅ Perfect for teens, adults, and career switchers Learn Python today—your future starts now.



A Practical Guide To Generative Ai Using Amazon Bedrock


A Practical Guide To Generative Ai Using Amazon Bedrock
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Author : Avik Bhattacharjee
language : en
Publisher: Springer Nature
Release Date : 2025-07-08

A Practical Guide To Generative Ai Using Amazon Bedrock written by Avik Bhattacharjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.


This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding the fundamentals to mastering techniques, this book offers a step-by-step approach to leverage Amazon Bedrock to build, deploy, and secure Generative AI applications. The book presents structured chapters and practical examples to delve into key concepts such as prompt engineering, retrieval-augmented generation, and model evaluation. You will gain profound insights into the Amazon Bedrock platform. The book covers setup, life cycle management, and integration with Amazon SageMaker. The book emphasizes real-world applications, and provides use cases and best practices across industries on topics such as text summarization, image generation, and conversational AI bots. The book tackles vital topics including data privacy, security, responsible AI practices, and guidance on navigating governance and monitoring challenges while ensuring adherence to ethical standards and regulations. The book provides the tools and knowledge needed to excel in the rapidly evolving field of Generative AI. Whether you're a data scientist, AI engineer, or business professional, this book will empower you to harness the full potential of Generative AI and drive innovation in your organization. What You Will Learn Understand the fundamentals of Generative AI and Amazon Bedrock Build Responsible Generative AI applications leveraging Amazon Bedrock Know techniques and best practices See real-world applications Integrate and manage platforms Handle securty and governance issues Evaluate and optimze models Gain future-ready insights Understand the project life cycle when building Generative AI Applications Who This Book Is For Data scientistys, AI/ML engineers and architects, software developers plus AI enthusiasts and studenta and educators, and leaders who want to evangelize within organizatios



The Ultimate Guide To Snowpark


The Ultimate Guide To Snowpark
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Author : Shankar Narayanan SGS
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-30

The Ultimate Guide To Snowpark written by Shankar Narayanan SGS 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 2024-05-30 with Computers categories.


Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowflake Snowpark using Python Key Features Get to grips with Snowflake Snowpark’s basic and advanced features Implement workloads in domains like data engineering, data science, and data applications using Snowpark with Python Deploy Snowpark in production with practical examples and best practices Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSnowpark is a powerful framework that helps you unlock numerous possibilities within the Snowflake Data Cloud. However, without proper guidance, leveraging the full potential of Snowpark with Python can be challenging. Packed with practical examples and code snippets, this book will be your go-to guide to using Snowpark with Python successfully. The Ultimate Guide to Snowpark helps you develop an understanding of Snowflake Snowpark and how it enables you to implement workloads in data engineering, data science, and data applications within the Data Cloud. From configuration and coding styles to workloads such as data manipulation, collection, preparation, transformation, aggregation, and analysis, this guide will equip you with the right knowledge to make the most of this framework. You'll discover how to build, test, and deploy data pipelines and data science models. As you progress, you’ll deploy data applications natively in Snowflake and operate large language models (LLMs) using Snowpark container services. By the end of this book, you'll be able to leverage Snowpark's capabilities and propel your career as a Snowflake developer to new heights.What you will learn Harness Snowpark with Python for diverse workloads Develop robust data pipelines with Snowpark using Python Deploy mature machine learning models Explore the process of developing, deploying, and monetizing native apps using Snowpark Deploy and operate containers in Snowpark Discover the pathway to adopting Snowpark effectively in production Who this book is for This book is for data engineers, data scientists, developers, and data practitioners seeking an in-depth understanding of Snowpark’s features and best practices for deploying various workloads in Snowpark using the Python programming language. Basic knowledge of SQL, proficiency in Python, an understanding of data engineering and data science basics, and familiarity with the Snowflake Data Cloud platform are required to get the most out of this book.