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Donizetti, G. / Kasarova, Vesselina / Vargas, Ramon: Donizetti: La Favorite - COMPACT DISCSTitle: Donizetti: La Favorite Artist: Donizetti, G. Kasarova, Vesselina Vargas, Ramon Label: Sony Masterworks Product Type: COMPACT DISCS UPC: 888751947627 Genre: Classical, Opera Operetta Release Date: 2016 04 29 Number of Discs: 2 Tracks: 1. 1 La Favorite Act I Prlude 1. 2 La Favorite Act I Scene 1 Pieux Monastre! 1. 3 La Favorite Act I Scene 2 Parle, Mon Fils; Un Ange, Une Femme Inconnue 1. 4 La Favorite Act I Scene 2 Toi, Mon Fils 1. 5 La Favorite
Title: Donizetti: La FavoriteArtist: Donizetti, G. / Kasarova, Vesselina / Vargas, Ramon
Label: Sony Masterworks
Product Type: COMPACT DISCS
UPC: 888751947627
Genre: Classical, Opera/Operetta
Release Date: 2016-04-29
Number of Discs: 2
Tracks:
1.1 La Favorite / Act I / Prélude
1.2 La Favorite / Act I / Scene 1 / Pieux Monastère!
1.3 La Favorite / Act I / Scene 2 / Parle, Mon Fils; Un Ange, Une Femme Inconnue
1.4 La Favorite / Act I / Scene 2 / Toi, Mon Fils
1.5 La Favorite / Act I / Scene 3 / Rayons Dorés, Tiède Zéphyre - Abbie Furmansky / Marcello Viotti
1.6 La Favorite / Act I / Scene 3 / Silence! Silence! - Abbie Furmansky / Marcello Viotti
1.7 La Favorite / Act I / Scene 4 / Gentile Messagère
1.8 La Favorite / Act I / Scene 5 / Mon Idole! Dieu T'envoie
1.9 La Favorite / Act I / Scene 7 / Celui Qui Vient la Chercher
1.10 La Favorite / Act I / Scene 8 / Oui, Ta Voix M'inspire - Ramón Vargas / Marcello Viotti
1.11 La Favorite / Act II / Scene 1 / Jardin de L' Alcazar
1.12 La Favorite / Act II / Scene 2 / Léonor, Viens, J'abandonne - Anthony Michaels-Moore / Marcello Viotti
1.13 La Favorite / Act II / Scene 3 / Pour la Fête... Ainsi Donc on Raconte
1.14 La Favorite / Act II / Scene 3 / Que Ta Douleur S'arrête
1.15 La Favorite / Act II / Scene 4 / Pas de Six
1.16 La Favorite / Act II / Scene 4 / Final de la Danse
1.17 La Favorite / Act II / Scene 5 / Ah! Sire!
2.1 La Favorite / Act III / Prélude
2.2 La Favorite / Act III / Scene 1 / Me Voici Donc PRÈS D'elle
2.3 La Favorite / Act III / Scene 3 / Fernand de Votre Amour
2.4 La Favorite / Act III / Scene 4 / L'ai-Je Bien Entendu? - Vesselina Kasarova / Marcello Viotti
2.5 La Favorite / Act III / Scene 4 / O Mon Fernand! - Vesselina Kasarova / Marcello Viotti
2.6 La Favorite / Act III / Scene 5 / Inès, Viens
2.7 La Favorite / Act III / Scene 7 / DÉJÀ Dans la Chapelle
2.8 La Favorite / Act III / Scene 9 / Quel Marché de Bassesse!
2.9 La Favorite / Act III / Scene 12 / Sire, Je Vous Dois Tous
2.10 La Favorite / Act III / Scene 12 / O Ciel!... de Son me
2.11 La Favorite / Act IV / Prélude
2.12 La Favorite / Act IV / Scene 1 / Frères, Creusons L'asile
2.13 La Favorite / Act IV / Scene 2 / Dans Un Instant, Mon Frère
2.14 La Favorite / Act IV / Scene 3 / Ange Si Pur - Ramón Vargas / Marcello Viotti
2.15 La Favorite / Act IV / Scene 4 / Es-Tu PRÊT? Viens
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4.7 ★★★★★
Based on 2003 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
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Reviewed in the United States on June 10, 2025
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents.
What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025