عنوان

Web app development and real-time web analytics with Python :

ويژگيها

electronic book

ويژگيها

electronic book

شابک

9781484277836

شابک

148427783X

شابک اشتباه

1484277821

شابک اشتباه

9781484277829

شماره ISMN

10.1007/978-1-4842-7783-6

شماره

15164

شماره کنترل سيستم

(OCoLC)1284980671

شماره کنترل سيستم غير معتبر يا حذف شده

(OCoLC)1287263485

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Web app development and real-time web analytics with Python :

ساير اطلاعات عنواني

develop and integrate machine learning algorithms into web apps /

نام نخستين پديدآور

Tshepo Chris Nokeri.

محل نشرو پخش و غیره

New York, NY :

نام ناشر، پخش کننده و غيره

Apress,

تاریخ نشرو بخش و غیره

[2022]

نام خاص و کميت اثر

226p.

متن يادداشت

Includes index.

متن يادداشت

Available to OhioLINK libraries.

متن يادداشت

Chapter 1: Tabulating Data and Constructing Static 2D and 3D Charts -- Chapter 2: Interactive Tabulation and Charting -- Chapter 3: Creating Functionality and Styling for Interactive Charts -- Chapter 4: Essentials of HTML -- Chapter 5: Python Web Frameworks and Apps -- Chapter 6: Dash Bootstrap Components -- Chapter 7: Styling and Theming a Web App -- Chapter 8: Building a Real-Time Web App -- Chapter 9: Basic Web App Authentication -- Chapter 10: Dash Into a Full Website -- Chapter 11: Integrating a Machine Learning Algorithm into a Web App -- Chapter 12: Deploying a Web App on the Cloud.

بدون عنوان

0

متن يادداشت

Learn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps. Author Tshepo Chris Nokeri begins by introducing you to the basics of constructing and styling static and interactive charts and tables before exploring the basics of HTML, CSS, and Bootstrap, including an approach to building web pages with HTML. From there, hell show you the key Python web frameworks and techniques for building web apps with them. Youll then see how to style web apps and incorporate themes, including interactive charts and tables to build dashboards, followed by a walkthrough of creating URL routes and securing web apps. Youll then progress to more advanced topics, like building machine learning algorithms and integrating them into a web app. The book concludes with a demonstration of how to deploy web apps in prevalent cloud platforms. Web App Development and Real-Time Web Analytics with Python is ideal for intermediate data scientists, machine learning engineers, and web developers, who have little or no knowledge about building web apps that implement bootstrap technologies. After completing this book, you will have the knowledge necessary to create added value for your organization, as you will understand how to link front-end and back-end development, including machine learning. You will: Create interactive graphs and render static graphs into interactive ones Understand the essentials of HTML, CSS, and Bootstrap Gain insight into the key Python web frameworks, and how to develop web applications using them Develop machine learning algorithms and integrate them into web apps Secure web apps and deploy them to cloud platforms.

منبع سفارش / آدرس اشتراک

O'Reilly Media

شماره انبار

9781484277836

شماره استاندارد بين المللي کتاب و موسيقي

9781484277829

شناسگر رکورد کتابشناختي

(OCoLC)1267383987.

عنصر شناسه ای

Web site development.

عنصر شناسه ای

Application software

عنصر شناسه ای

Python (Computer program language)

عنصر شناسه ای

Web usage mining.

تقسیم فرعی موضوعی

Development.

کد مقوله موضوعی

COM004000

کد سيستم

bisacsh

شماره

ويراست

شماره رده

نشانه اثر

عنصر شناسه اي

Nokeri, Tshepo Chris,

عنصر شناسه اي

Ohio Library and Information Network.

سازمان

کتابخانه مرکزی و مرکز اطلاع رسانی دانشگاه

تاريخ عمليات

20231009213021.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

تاريخ و ساعت مذاکره و دسترسي

Web App Development and Real-Time Web Analytics with Python_ Develop and Integrate Machine Learning Algorithms into Web Apps-Apress (2021).pdf

مشخصه منبع قراردادي

https://learning.oreilly.com/library/view/~/9781484277836/?ar

يادداشت عمومي

Connect to resource

نوع ماده

BL

کد کاربرگه

270410

تكميل شده

Y