Streamlit For Data Science
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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.
Streamlit For Data Science Second Edition
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Author : Tyler Richards
language : en
Publisher:
Release Date : 2023-07
Streamlit For Data Science Second Edition written by Tyler Richards and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07 with categories.
Streamlit for Data Science takes you through the basics of data app development, prototyping machine learning models, and deploying Streamlit apps. It walks you through practical, actionable examples using project-based learning.
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
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.
To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. 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. Part 1 takes you step-by-step through coding projects to build APIs using Python and FastAPI and deploy them in the cloud. Part 2 teaches you to consume APIs in a data science project using industry-standard tools. And in Part 3, you'll use ChatGPT, the LangChain framework, and other tools to access your APIs with generative AI and large language models (LLMs). As you complete the chapters in the book, you'll be creating a professional online portfolio demonstrating your new skill with APIs, AI, and data science. You'll learn 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 Author Ryan Day is a data scientist in the financial services industry and an open source developer.
Beginner S Guide To Streamlit With Python
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Author : Sujay Raghavendra
language : en
Publisher: Apress
Release Date : 2022-12-17
Beginner S Guide To Streamlit With Python written by Sujay Raghavendra and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-17 with Computers 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. What You Will Learn How to start developing web applications using Streamlit What are Streamlit's components Media elements in Streamlit How to visualize data using various interactive and dynamic Python libraries How to implement models in Streamlit web applications Who This Book Is ForProfessionals working in data science and machine learning domains who want to showcase and deploy their work in a web application with no prior knowledge of web development.
The Pioneering Applications Of Generative Ai
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Author : Kumar, Raghvendra
language : en
Publisher: IGI Global
Release Date : 2024-07-17
The Pioneering Applications Of Generative Ai written by Kumar, Raghvendra and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
Integrating generative artificial intelligence (AI) into art, design, and media presents a double-edged sword. While it offers unprecedented creative possibilities, it raises ethical concerns, challenges traditional workflows, and requires careful regulation. As AI becomes more prevalent in these fields, there is a pressing need for a comprehensive resource that explores the technology's potential and navigates the complex landscape of its implications. The Pioneering Applications of Generative AI is a pioneering book that addresses these challenges head-on. It provides a deep dive into the evolution, ethical considerations, core technologies, and creative applications of generative AI, offering readers a thorough understanding of this transformative technology. Researchers, academicians, scientists, and research scholars will find this book invaluable in navigating the complexities of generative AI in art, design, and media. With its focus on ethical and responsible AI and discussions on regulatory frameworks, the book equips readers with the knowledge and tools needed to harness the full potential of generative AI while ensuring its responsible and ethical use.
Introduction To Spacy
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Author :
language : en
Publisher: shyambhu mukherjee
Release Date : 2023-12-21
Introduction To Spacy written by and has been published by shyambhu mukherjee this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Computers categories.
This is a short book that aims to introduce a data science enthusiast to the cutting-edge nlp tool called spacy. The chapters are compiled from my blog which got really famous when I gradually published the articles. In this book, all those articles are combined into one summarized book which takes you through the basics to the advanced of the spacy language. Extensive examples of codes and error resolving are included as well. One should expect a industry level working knowledge of spacy upon completing this book.
High Performance Python
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Author : Micha Gorelick
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-04-29
High Performance Python written by Micha Gorelick 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 2025-04-29 with Computers categories.
Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Process DataFrames quickly with Pandas, Dask, and Polars Speed up your neural networks and GPU computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters
Jumpstart Snowflake
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Author : Dmitry Anoshin
language : en
Publisher: Springer Nature
Release Date : 2025-08-01
Jumpstart Snowflake written by Dmitry Anoshin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.
This book is your guide to the modern market of data analytics platforms and the benefits of using Snowflake, the data warehouse built for the cloud. As organizations increasingly rely on modern cloud data platforms, the core of any analytics framework—the data warehouse—is more important than ever. This updated 2nd edition ensures you are ready to make the most of the industry’s leading data warehouse. This book will onboard you to Snowflake and present best practices for deploying and using the Snowflake data warehouse. The book also covers modern analytics architecture, integration with leading analytics software such as Matillion ETL, Tableau, and Databricks, and migration scenarios for on-premises legacy data warehouses. This new edition includes expanded coverage of SnowPark for developing complex data applications, an introduction to managing large datasets with Apache Iceberg tables, and instructions for creating interactive data applications using Streamlit, ensuring readers are equipped with the latest advancements in Snowflake's capabilities. What You Will Learn Master key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake Integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools Manage large datasets with Apache Iceberg Tables Implement continuous data loading with Snowpipe and Dynamic Tables Who This Book Is For Data professionals, business analysts, IT administrators, and existing or potential Snowflake users
Dashboards For Data Scientists
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Author : Dragomir Kovacevic
language : en
Publisher: Independently Published
Release Date : 2025-10-22
Dashboards For Data Scientists written by Dragomir Kovacevic and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-22 with Computers categories.
In "Dashboards for Data Scientists," discover how Streamlit revolutionizes the way data scientists create interactive applications without the complexities of traditional web development. This guide empowers you to transform Python scripts into shareable web apps in mere minutes, making data visualization and model sharing effortless and enjoyable. Unlock the potential of your analyses as you build dynamic dashboards that engage both technical and non-technical audiences alike.