SKU: 96189290860

Pédale d'effets simulateur de guitare acoustique

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Description

Pédale d'effets simulateur de guitare acoustiqueAlimentation : DC 9 V Catgorie : DI prampli Commutateur : 2 commutateurs au pied Dimensions (mm) : 105 x 115 x 58 EQ : 3 bandes Effets simultans : 2 Entres : USB, Auxiliaire, Instrument jack Format : Pdale Mmoires utilisateur : 24 Nbre d'effets : 2 Nbre de prslections : 15 Nbre modlisations : 15 Poids (kg) : 420 g Rglages : gain, treble, bass, mid, IR select, rverbe, select Sorties : Casque minijack, XLR, Ampli jack Technologie : Numrique Specs

- Alimentation : DC 9 V
- Catégorie : DI préampli
- Commutateur : 2 commutateurs au pied
- Dimensions (mm) : 105 x 115 x 58
- EQ : 3-bandes
- Effets simultanés : 2
- Entrées : USB, Auxiliaire, Instrument jack
- Format : Pédale
- Mémoires utilisateur : 24
- Nbre d'effets : 2
- Nbre de présélections : 15
- Nbre modélisations : 15
- Poids (kg) : 420 g
- Réglages : gain, treble, bass, mid, IR select, réverbe, select
- Sorties : Casque minijack, XLR, Ampli jack
- Technologie : Numérique
- Specs complémentaires :
- Pédale de préampli / simulateur de guitares acoustiques
- Loader et capture d’IR (réponses impulsionnelles) pour guitares acoustiques
- Préampli inspiré des sonorités Neve 1073 avec égaliseur 3 bandes
- 15 presets IR / profils de guitares acoustiques renommées
- 9 presets vide utilisateur, 24 presets disponibles au total
- Reverb intégrée
- Écran digital noir et blanc
- Sortie DI pour se connecter directement à une table de mixage / interface son
- Port micro USB : édition et chargement d’IR via logiciel Optima Air, interface audio
- Traitement du signal 32bits, 48 kHz
- Plage de dynamique : 120 dB
- Boucle d’effets (send/return)
- Alimentation (non fournie) : 9V DC centre négatif
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SKU: 96189290860

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4.6 ★★★★★
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Kirk D. Borne
Fort Morgan, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025
A
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Amazon Customer
Fort Morgan, US
★★★★★ 5
good book for beginners in Python and in simulation
Format: Kindle
Author made very short and simple intro into Python to jump into many different code examples to show how to solve them and to visualize results in Python. Reader will learn how to use Python libraries for modeling and simulation. Each example has an analytical solution and numerical with Python and visualization tools
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Reviewed in the United States on January 2, 2026
A
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Amazon Customer
Phoenix, US
★★★★★ 5
would highly recommend
Format: Paperback
well written even a newbie can follow
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Reviewed in the United States on May 18, 2025
M
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mauricio z
Massapequa, US
★★★★★ 5
great book
Format: Paperback
perfect for beginners
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 22, 2024
S
Verified Purchase
Samuel
Los Angeles, US
★★★★★ 2
Don't buy, check HIS github or google collab for EVERYTHING that's in this book. NO SOLUTION
Format: Paperback
I never write reviews, but after this book I need to. DON'T BUY IT. DO NOT BUY THIS BOOK. Feels like a money grab. You are literally paying money for NOTHING buying this book. Long story short: GO TO HIS GITHUB AND GET IT ALL FOR FREE BECAUSE HE DOES NOT PROVIDE SOLUTIONS. GO ON GITHUB OR GOOGLE COLLAB AND CALL IT A DAY. In the intro he makes it seem like you don't need to know much programming or any tbh. He says if you have never programmed you should be able to read this book. HELL NO, I mean yeah you could probably figure it out, but I would not let someone that doesn't know any programming to start with this. I'd probably tell you to learn the basics of python for a week before starting at the very least. He also makes it seem like you don't need much knowledge of physics. Meh, maybe. Anyway the main reason not to buy: IT'S ALL AVAILABLE FOR FREE ON GITHUB THAT HE PUBLISHES FOR FREEEEEE. You can also use google collab, which he has up for FREEE. and if you are are a beginner I'd recommend you go off teh google collab, that way you don't have to deal with downloading anaconda and setting up an enviroment in jupyter which I think can be intimidating for a beginner. And this book doesn't really give much help in setting up everything in jupyter notebook. Also another point. He'll lead you through an example each lesson, but for the exercises he has you working on he doesn't provide a solution ANYWHERE. like why tf would you buy this book? How do you expect to learn with no feedback? You need to search online for ways to solve these problems, which I think is not a bad skill to have, but if you are new to a subject or trying to learn and you pay for a book why can't i at the very least get some solutions. even math textbook give you solutions, because the understanding is that you can make your own attempt and CHECK TO SEE IF YOU ARE RIGHT. DUHH !
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Reviewed in the United States on February 8, 2026

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