[PDF] Langkah Mudah Belajar Membuat Aplikasi Data Interaktif Dengan Streamlit Python Untuk Pemula - eBooks Review

Langkah Mudah Belajar Membuat Aplikasi Data Interaktif Dengan Streamlit Python Untuk Pemula


Langkah Mudah Belajar Membuat Aplikasi Data Interaktif Dengan Streamlit Python Untuk Pemula
DOWNLOAD

Download Langkah Mudah Belajar Membuat Aplikasi Data Interaktif Dengan Streamlit Python Untuk Pemula PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Langkah Mudah Belajar Membuat Aplikasi Data Interaktif Dengan Streamlit Python Untuk Pemula book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Langkah Mudah Belajar Membuat Aplikasi Data Interaktif Dengan Streamlit Python Untuk Pemula


Langkah Mudah Belajar Membuat Aplikasi Data Interaktif Dengan Streamlit Python Untuk Pemula
DOWNLOAD
Author : Randi Adrika Putra
language : id
Publisher: Anak Hebat Indonesia
Release Date : 2024-11-12

Langkah Mudah Belajar Membuat Aplikasi Data Interaktif Dengan Streamlit Python Untuk Pemula written by Randi Adrika Putra and has been published by Anak Hebat Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-12 with Computers categories.


Streamlit merupakan suatu framework open-source yang dirancang khusus untuk membangun aplikasi web data interaktif dengan menggunakan Python. Sejak pertama kali dirilis, Streamlit telah menjadi pilihan populer di kalangan data scientist, analis data, dan developer yang ingin membuat aplikasi data-driven tanpa perlu menjadi ahli dalam pengembangan web. Melalui buku ini, Anda akan belajar membuat aplikasi data interaktif menggunakan Streamlit Python dengan mudah dan cepat. Buku ini akan membahasa mengenai berbagai hal, mulai dari berkenalan dengan aplikasi data interaktif, dasar-dasar bahasa pemrograman Python, menuliskan kode Streamlit, melakukan analisis data dengan Streamlit, hingga contoh studi kasus membuat aplikasi dashboard interaktif untuk analisis data penjualan menggunakan Streamlit. Nah, bagi Anda yang tertarik belajar membuat aplikasi data interaktif menggunakan Streamlit Python dengan mudah dan cepat, Anda bisa belajar melalui buku ini!



Introduction To Machine Learning With Python


Introduction To Machine Learning With Python
DOWNLOAD
Author : Andreas C. Müller
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-09-26

Introduction To Machine Learning With Python written by Andreas C. Müller 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 2016-09-26 with Computers categories.


Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills



Big Data Cloud Computing Data Science Engineering


Big Data Cloud Computing Data Science Engineering
DOWNLOAD
Author : Roger Lee
language : en
Publisher: Springer
Release Date : 2018-08-13

Big Data Cloud Computing Data Science Engineering written by Roger Lee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-13 with Technology & Engineering categories.


This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, to share their experiences, and to exchange new ideas and information in a meaningful way. All aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here. The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference’s most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.



Data Science For Business Professionals


Data Science For Business Professionals
DOWNLOAD
Author : Probyto Data Science and Consulting Pvt. Ltd.
language : en
Publisher: BPB Publications
Release Date : 2020-05-06

Data Science For Business Professionals written by Probyto Data Science and Consulting Pvt. Ltd. and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-06 with Computers categories.


Primer into the multidisciplinary world of Data Science KEY FEATURESÊÊ - Explore and use the key concepts of Statistics required to solve data science problems - Use Docker, Jenkins, and Git for Continuous Development and Continuous Integration of your web app - Learn how to build Data Science solutions with GCP and AWS DESCRIPTIONÊ The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset.Ê WHAT WILL YOU LEARNÊÊ - Understand the multi-disciplinary nature of Data Science - Get familiar with the key concepts in Mathematics and Statistics - Explore a few key ML algorithms and their use cases - Learn how to implement the basics of Data Pipelines - Get an overview of Cloud Computing & DevOps - Learn how to create visualizations using Tableau WHO THIS BOOK IS FORÊ This book is ideal for Data Science enthusiasts who want to explore various aspects of Data Science. Useful for Academicians, Business owners, and Researchers for a quick reference on industrial practices in Data Science.Ê TABLE OF CONTENTS 1. Data Science in Practice 2. Mathematics Essentials 3. Statistics Essentials 4. Exploratory Data Analysis 5. Data preprocessing 6. Feature Engineering 7. Machine learning algorithms 8. Productionizing ML models 9. Data Flows in Enterprises 10. Introduction to Databases 11. Introduction to Big Data 12. DevOps for Data Science 13. Introduction to Cloud Computing 14. Deploy Model to Cloud 15. Introduction to Business IntelligenceÊ 16. Data Visualization Tools 17. Industry Use Case 1 Ð FormAssist 18. Industry Use Case 2 Ð PeopleReporter 19. Data Science Learning Resources 20. Do It Your Self Challenges 21. MCQs for Assessments



Electronic Commerce


Electronic Commerce
DOWNLOAD
Author : Hossein Bidgoli
language : en
Publisher: Academic Press
Release Date : 2002

Electronic Commerce written by Hossein Bidgoli and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Business & Economics categories.


This four-part overview of electronic commerce offers a more thorough and technical view of the subject than many recent books on the subject. The book provides a balance of theories, applications, and hands-on material. Electronic Commerce is divided into four parts: Electronic Commerce Basics, Electronic Commerce Supporting Activities, Implementation and Management Issues in Electronic Commerce, and Appendix and Glossary. The book's chapters begin with introductions of leading companies with significant e-commerce expertise and at least two small case studies. They include 10 or more hands-on exercises, encouraging readers to explore and analyze sites, and a list of key terms and bibliographic citations. They conclude with 25-30 review questions and 6-10 projects for further investigation. Offers a generalist's overview of the field and its major players for people with little or no technical background Every chapter starts with an industry profile and two information boxes, which serve as case studies and point to practical applications Projects and hands-on exercises conclude each chapter



Getting Started With Streamlit For Data Science


Getting Started With Streamlit For Data Science
DOWNLOAD
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.



Langkah Mudah Belajar Analisis Data Dengan Python Untuk Pemula


Langkah Mudah Belajar Analisis Data Dengan Python Untuk Pemula
DOWNLOAD
Author : Randi Adrika Putra
language : id
Publisher: Anak Hebat Indonesia
Release Date : 2024-02-12

Langkah Mudah Belajar Analisis Data Dengan Python Untuk Pemula written by Randi Adrika Putra and has been published by Anak Hebat Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-12 with Computers categories.


Merasa ketinggalan zaman karena tidak bisa Python? Atau merasa ketinggalan karena Python sekarang digunakan di mana saja dan untuk kepentingan apa saja? Nah, Python ini dalam dunia profesional pengolahan dan pemaparan data sangatlah penting. Apalagi untuk analisis data dan proyeksi ke depan (machine learning). Saat ini, menjadi seorang analisis data yang andal sepertinya wajib dimulai dengan mempelajari pemrograman Python. Mengingat gaya pemrograman Python sangatlah fleksibel dan dapat disesuaikan dengan keinginan dan kebutuhan Anda. Buku ini menyajikan secara komprehensif dan sistematis dalam mempelajari bahasa pemrograman Python dari nol. Anda akan belajar materi-materi, seperti sintaksis dasar dan tipe data dalam Python, operator dalam Python, list-tuple-set-dictionary, loops, Pandas, dan lain-lain. Menurut Tiobe Index (bulan Oktober 2022), Python adalah bahasa pemrograman nomor 1 yang paling populer di seluruh dunia. So, kamu wajib belajar Python sekarang juga!



Streamlit For Data Science Second Edition


Streamlit For Data Science Second Edition
DOWNLOAD
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.



Wordpress


Wordpress
DOWNLOAD
Author : Jon Duckett
language : en
Publisher: Wiley
Release Date : 2014-01-13

Wordpress written by Jon Duckett and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-13 with Computers categories.


The book takes readers from the basics to the more complicated concepts of WordPress without expecting a lot of technical experience. While it does not teach server-side programming in depth, it does teach enough PHP for readers to customise WordPress themes and understand core concepts like variables and loops. WordPress: Design & Development uses the same graphical approach that was adopted in HTML & CSS which has proven very popular with readers. The examples and sample themes used in the book are of the same quality as commercial themes (not just proof-of-concept examples), and achieve the same kinds of things that WordPress users pay for in commercial themes. The title also makes use of lifestyle photography to inspire the reader and make the skills taught by this book feel aspirational. Along the way, readers are given tips on developing WordPress sites for clients, and managing the ongoing needs of the client. The book covers: Creating Content: Posts & Pages Administration: Tools Creating and Updating Content Understanding Theme Files Displaying Single Posts Displaying Single Pages Home Pages & Section Pages Headers, Footers, & Menus Galleries, Audio, Video Sidebar & Widgets Reader comments Functions.php, Actions, Filters, Hooks, & Shortcodes Plugins Custom Posts & Taxonomies Install, Backup, Moving, Optimizing