A Beginner S Guide To Streamlit For Data Science

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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

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.

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

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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.

Hands On Apis For Ai And Data Science

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Author : Ryan Day
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-03-04

Hands On Apis For Ai And Data Science written by Ryan Day and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Computers categories.

Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data science success, because they are used in a variety of ways in these fields. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit. As you complete the chapters in the book, you'll be creating portfolio projects that teach you how to: Design APIs that data scientists and AIs love Develop APIs using Python and FastAPI Deploy APIs using multiple cloud providers Create data science projects such as visualizations and models using APIs as a data source Access APIs using generative AI and LLMs

Streamlit For Data Science

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Author : Tyler Richards
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-09-29

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 2023-09-29 with Computers categories.

An easy-to-follow and comprehensive guide to creating data apps with Streamlit, including how-to guides for working with cloud data warehouses like Snowflake, using pretrained Hugging Face and OpenAI models, and creating apps for job interviews. Key Features Create machine learning apps with random forest, Hugging Face, and GPT-3.5 turbo models Gain an insight into how experts harness Streamlit with in-depth interviews with Streamlit power users Discover the full range of Streamlit’s capabilities via hands-on exercises to effortlessly create and deploy well-designed apps Book DescriptionIf you work with data in Python and are looking to create data apps that showcase ML models and make beautiful interactive visualizations, then this is the ideal book for you. Streamlit for Data Science, Second Edition, shows you how to create and deploy data apps quickly, all within Python. This helps you create prototypes in hours instead of days! Written by a prolific Streamlit user and senior data scientist at Snowflake, this fully updated second edition builds on the practical nature of the previous edition with exciting updates, including connecting Streamlit to data warehouses like Snowflake, integrating Hugging Face and OpenAI models into your apps, and connecting and building apps on top of Streamlit databases. Plus, there is a totally updated code repository on GitHub to help you practice your newfound skills. You'll start your journey with the fundamentals of Streamlit and gradually build on this foundation by working with machine learning models and producing high-quality interactive apps. The practical examples of both personal data projects and work-related data-focused web applications will help you get to grips with more challenging topics such as Streamlit Components, beautifying your apps, and quick deployment. By the end of this book, you'll be able to create dynamic web apps in Streamlit quickly and effortlessly.What you will learn Set up your first development environment and create a basic Streamlit app from scratch Create dynamic visualizations using built-in and imported Python libraries Discover strategies for creating and deploying machine learning models in Streamlit Deploy Streamlit apps with Streamlit Community Cloud, Hugging Face Spaces, and Heroku Integrate Streamlit with Hugging Face, OpenAI, and Snowflake Beautify Streamlit apps using themes and components 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 get started with creating data apps in Streamlit. It is terrific for junior data scientists looking to gain some valuable new skills in a specific and actionable fashion and is also a great resource for senior data scientists looking for a comprehensive overview of the library and how people use it. Prior knowledge of Python programming is a must, and you’ll get the most out of this book if you’ve used Python libraries like Pandas and NumPy in the past.

Data Analytics For Marketing

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Author : Guilherme Diaz-Bérrio
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-10

Data Analytics For Marketing written by Guilherme Diaz-Bérrio 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 2024-05-10 with Computers categories.

Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries Key Features Analyze marketing data using proper statistical techniques Use data modeling and analytics to understand customer preferences and enhance strategies without complex math Implement Python libraries like DoWhy, Pandas, and Prophet in a business setting with examples and use cases Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial. In this book, you’ll learn how to give context to your data and turn it into useful information. You’ll understand how and where to use a tool or dataset for a specific question, exploring the "what and why questions" to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you’ll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you’ll delve into customer analytics and insights. Finally, you’ll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making. By the end of this book, you’ll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.What you will learn Understand the basic ideas behind the main statistical models used in marketing analytics Apply the right models and tools to a specific analytical question Discover how to conduct causal inference, experimentation, and statistical modeling with Python Implement common open source Python libraries for specific use cases with immediately applicable code Analyze customer lifetime data and generate customer insights Go through the different stages of analytics, from descriptive to prescriptive Who this book is for This book is for data analysts and data scientists working in a marketing team supporting analytics and marketing research, who want to provide better insights that lead to data-driven decision-making. Prior knowledge of Python, data analysis, and statistics is required to get the most out of this book.

Deep Learning

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Author : Dulani Meedeniya
language : en
Publisher: CRC Press
Release Date : 2023-10-16

Deep Learning written by Dulani Meedeniya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-16 with Computers categories.

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising. The design of the DL models based on artificial neural networks is influenced by the structure and operation of the brain. This book presents a comprehensive resource for those who seek a solid grasp of the techniques in DL. Key features: Provides knowledge on theory and design of state-of-the-art deep learning models for real-world applications Explains the concepts and terminology in problem-solving with deep learning Explores the theoretical basis for major algorithms and approaches in deep learning Discusses the enhancement techniques of deep learning models Identifies the performance evaluation techniques for deep learning models Accordingly, the book covers the entire process flow of deep learning by providing awareness of each of the widely used models. This book can be used as a beginners’ guide where the user can understand the associated concepts and techniques. This book will be a useful resource for undergraduate and postgraduate students, engineers, and researchers, who are starting to learn the subject of deep learning.

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.

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.