Beginner's Guide to Streamlit with Python - Raghavendra, Sujay
- Format: Broché Voir le descriptif
Vous en avez un à vendre ?
Vendez-le-vôtreExpédition rapide et soignée depuis l`Angleterre - Délai de livraison: entre 10 et 20 jours ouvrés.
Nos autres offres
-
45,17 €
Produit Neuf
Ou 11,29 € /mois
- Livraison à 0,01 €
Nouvel article expédié dans le 24H à partir des Etats Unis Livraison au bout de 20 à 30 jours ouvrables.
Voir le détail de l'annonce -
48,86 €
Produit Neuf
Ou 12,22 € /mois
- Livraison : 3,99 €
- Livré entre le 18 et le 24 juillet
Voir le détail de l'annonce -
61,19 €
Produit Neuf
Ou 15,30 € /mois
- Livraison à 0,01 €
- Livré entre le 18 et le 31 juillet
Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9781484289822_dbm
Voir le détail de l'annonce
- Payez directement sur Rakuten (CB, PayPal, 4xCB...)
- Récupérez le produit directement chez le vendeur
- Rakuten vous rembourse en cas de problème
Gratuit et sans engagement
Félicitations !
Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !
TROUVER UN MAGASIN
Retour
Avis sur Beginner's Guide To Streamlit With Python de Raghavendra, Sujay Format Broché - Livre Informatique
0 avis sur Beginner's Guide To Streamlit With Python de Raghavendra, Sujay Format Broché - Livre Informatique
Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.
-
Guide Officiel Bayonetta - Édition Collector
Occasion dès 40,00 €
-
Perfectionnement Allemand (5 Cd Audio)
1 avis
Occasion dès 47,90 €
-
The Vocabulary Guide Anglais - Les Mots Anglais Et Leur Emploi
Neuf dès 20,90 €
Occasion dès 17,47 €
-
The Anxious Person's Guide To Non-Monogamy
Neuf dès 22,49 €
-
The Complete Watercolorist's Essential Notebook
Neuf dès 35,37 €
-
La Guerre Civile, 2 Tomes (Livres I-Iii)
Occasion dès 30,00 €
-
Greek Gods Abroad
Neuf dès 50,25 €
-
Apprendre L'hébreu Biblique Par Les Textes En 30 Leçons.
Occasion dès 23,00 €
-
Le Cul De La Femme - Une Collection De Portraits De Pierre Louÿs (1892-1914)
5 avis
Occasion dès 26,98 €
-
Technological Revolutions And Financial Capital : The Dynamics Of Bubbles And Golden Ages
Occasion dès 34,43 €
-
Locke: Two Treatises Of Government Student Edition
Neuf dès 46,37 €
Occasion dès 18,71 €
-
Delicious In Dungeon World Guide: The Adventurer's Bible, Complete Edition
Neuf dès 38,28 €
-
Vivian Maier - Photographin
Occasion dès 45,75 €
-
One Piece Magazine One Piece 020
Occasion dès 33,99 €
-
Dark City. The Real Los Angeles Noir
Neuf dès 50,00 €
Occasion dès 40,00 €
-
Ephemerides 1950-2050 Ut For 0h International Edition
17 avis
Occasion dès 44,95 €
-
A Secular Age
Neuf dès 33,03 €
-
Options As A Strategic Investment
Neuf dès 32,30 €
-
No.6[]#3
Neuf dès 35,99 €
-
Femmes, Pouvoir Et Nation En Ecosse - Du Xvie Siècle À Aujourd'hui
Neuf dès 20,00 €
Occasion dès 17,98 €
Produits similaires
Présentation Beginner's Guide To Streamlit With Python de Raghavendra, Sujay Format Broché
- Livre Informatique
Résumé : 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 Biographie: Sommaire:
Détails de conformité du produit
Personne responsable dans l'UE
Sujay Raghavendra is an IT professional with a Master's Degree in Information Technology. His research interests include machine learning, computer vision, NLP, and deep learning. He has been a consultant for multiple research centers in various universities. He has published many research articles in international journals and is the author of the book Python Testing with Selenium published by Apress. ...
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