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Description
Isurevape Diavel 80W Pod Kit 3.7mlDetails: Das Isurevape Diavel Pod System Kit ist fr den Anfang konzipiert. Der Isurevape Diavel wird mit einer einzigen externen 18650 Batterie betrieben und erreicht eine maximale Leistung von 80W. Die Leistung der Isurevape Diavel kann von 5W bis 80W eingestellt werden. Die Isurevape Diavel Pod Cartridge hat eine Saftkapazitt von 3,7ml 2ml. Der Isurevape Diavel Pod verfgt ber ein austauschbares Coilinstallationssystem, das viel Komfort beim
Details:Das Isurevape Diavel Pod System Kit ist für den Anfang konzipiert. Der Isurevape Diavel wird mit einer einzigen externen 18650 Batterie betrieben und erreicht eine maximale Leistung von 80W. Die Leistung der Isurevape Diavel kann von 5W bis 80W eingestellt werden. Die Isurevape Diavel Pod Cartridge hat eine Saftkapazität von 3,7ml/2ml. Der Isurevape Diavel Pod verfügt über ein austauschbares Coilinstallationssystem, das viel Komfort beim Coilwechsel bietet. Die Isurevape Diavel Coils sind vermaschte Kerne mit einem Widerstand von 0,15ohm/0,3ohm/0,6ohm/1,0ohm. Benutzer steuern die Leistung über die UP/DOWN Taste und löschen die Anzeige. Die 2A QC sorgt auch für eine schnelle Ladezeit.
Eigenschaften:
Einzelne 18650 Batterie mit 80W Leistung
Einstellbare Leistung von 5W bis 80W
PCTG Material in Lebensmittelqualität für sicheren Dampf
Verschiedene vermaschte Coil zur Auswahl
3,7ml/2ml Saftkapazität
Eingeschränktes Luftstromloch für MTL E-Zigarette
2A Micro USB Schnellladung
Leicht und tragbar für den täglichen Gebrauch
Technische Daten:
Isurevape Diavel Batterie
Batterie: einzelne 18650 Batterie (nicht im Lieferumfang enthalten)
Größe: 29,5 x 23,2 x 83 mm
Leistung: 5-80 W
Eingangsspannung: 3,0-4,2 V
Ladespannung: 5V/2A
Isurevape Diavel Pod
Größe: 29,5 x 23,2 x 37 mm
Coilwiderstand: 0,15ohm Mesh/0,3ohm Mesh/0,6ohm Mesh/1,0 ohm Mesh
Kapazität: 3,7ml/2ml
Material: PCTG
Paket beinhaltet:
1 x Isurevape Diavel Mod
1 x Isurevape Diavel Pod
1 x Isurevape Diavel Coil
1 x USB Kabel
1 x Benutzerhandbuch
1 x Garantiekarte
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
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4.1 ★★★★★
Based on 8 reviews
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Product Reviews
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2021
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning.
The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021
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