SKU: 66991238048
zündapp klapprad z101 e-faltrad 20 zoll

zündapp klapprad z101 e-faltrad 20 zoll Zündapp Z101 E Bike Klapprad 20 Zoll – Zündapp Shop

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Description

zündapp klapprad z101 e-faltrad 20 zoll Zündapp Z101 E Bike Klapprad 20 Zoll – Zündapp ShopDas Zndapp Z101 E Klapprad vereint die Vorteile eines Faltrads mit einem Elektroantrieb und wird so zum flexiblen, umweltbewussten Fortbewegungsmittel fr die Stadt. Es eignet sich zum Pendeln zur Arbeit ebenso wie fr Einkaufsfahrten und verbindet Sportlichkeit mit Alltagstauglichkeit. Auch im Urlaub ist das Z101 ein zuverlssiger Begleiter, der sich platzsparend berall mitnehmen lsst. Dank Klappmechanismen im Rahmen, den Pedalen und dem Vorbau lsst

Das Zündapp Z101 E-Klapprad vereint die Vorteile eines Faltrads mit einem Elektroantrieb und wird so zum flexiblen, umweltbewussten Fortbewegungsmittel für die Stadt. Es eignet sich zum Pendeln zur Arbeit ebenso wie für Einkaufsfahrten und verbindet Sportlichkeit mit Alltagstauglichkeit. Auch im Urlaub ist das Z101 ein zuverlässiger Begleiter, der sich platzsparend überall mitnehmen lässt.

Dank Klappmechanismen im Rahmen, den Pedalen und dem Vorbau lässt sich das Fahrrad schnell zusammenfalten und bequem im Auto oder in öffentlichen Verkehrsmitteln transportieren. Mit einem Faltmaß von 97 x 67 x 44 cm findet es nahezu überall Platz. Die kompakte 20-Zoll-Bereifung und der niedrige Rahmen machen das möglich. Höhenverstellbarer Sattel und Lenker sorgen dafür, dass sich das Rad trotzdem problemlos an größere Fahrer anpassen lässt.

Der Rahmen besteht aus extra leichtem Aluminium. Trotz E-Antrieb wiegt das Z101 inklusive Akku lediglich 21,1 kg – leicht genug, um es in die Bahn oder ins Auto zu tragen. Dennoch ist es genauso robust und belastbar wie ein herkömmliches Fahrrad.

Der bürstenlose Hinterrad-Nabenmotor leistet 250 Watt und unterstützt dich bis 25 km/h. Den Antrieb übernimmt ein Lithium-Ionen-Rahmenakku mit 270 Wh, der sicher im Rahmen integriert und zum Schutz vor Diebstahl abschließbar ist. Je nach Fahrweise und Unterstützungsstufe sind Reichweiten von 10 bis 65 km möglich. Bedient wird das System über das intuitive King Meter T320 LED-Display mit drei Tasten.

Die ergonomische Geometrie sorgt für komfortables Fahren. Gefederte Sattelstütze und Zündapp Komfort-Citysattel sorgen auch auf längeren Strecken für angenehmes Sitzen. Die Shimano Tourney 6-Gang-Schaltung lässt sich per RevoShift Drehgriffschalter bedienen. Wartungsarme Tektro V-Brakes vorne und hinten sorgen für zuverlässige Verzögerung.

Das Z101 kommt vollständig ausgestattet: StVZO-konforme Spanninga LED-Beleuchtung akkubetrieben mit integriertem Reflektor, Schutzbleche, Kettenschutz, Seitenständer, Gepäckträger mit Federklappe und Spanngummis sowie Klingel sind inklusive. Das Rad wird zu 98 % vormontiert geliefert – nach dem Ausklappen und einer kurzen Kontrolle kann sofort losgefahren werden. Empfohlen für Personen zwischen 150 und 180 cm.

Die Nürnberger Traditionsmarke Zündapp, gegründet 1917, steht seit jeher für erschwingliche, zuverlässige Räder „für jedermann". Das Z101 erinnert im Design an die Z22 – das erste Erfolgsmodell der Marke. Preiswert, zuverlässig, unkompliziert.

Technische Daten:
Hersteller: Zündapp
Modell: Z101
Farbe: schwarz, blau, weiß, silber, sky blau, hellgrün, gambia rot, hellblau
Gänge: 6
Rahmengröße: 37 cm
Laufradgröße: 20 Zoll
Rahmen: Zündapp Aluminium Faltrahmen mit vollintegriertem Akku, integriertem Gepäckträger und Sicherheits-Faltmechanismus
Gabel: Zündapp Stahl Starrgabel
Steuersatz: Neco H23.2 1 1/8"
Vorbau: Zündapp Aluminium faltbar mit Sicherheits-Faltmechanismus, Durchmesser: 31,8 - 28,6 mm, Länge: 200 mm
Lenker: Zoom Flatbar, Aluminium, Breite: 560 mm, Durchmesser: 22,2 mm, Klemmdurchmesser 25,4 mm
Griffe: ergonomisch geformt, Länge: 130/90 mm
Schalthebel: Shimano Tourney SL-RS36 RevoShift Drehgriffschalter 6-fach
Bremshebel: Aluminium Dreifingertyp
Schaltwerk: Shimano Tourney RD-TY300 6-fach
Kassette: Shimano MF-TZ206 6-fach, 14 - 24 Zähne
Kurbelgarnitur: Prowheel einfach, 1/2" x 3/32", 42 Zähne, Kurbelarme: 170 mm
Innenlager: Neco B910 BC 1,37" 122,5 mm
Kette: KMC Z33 1/2" x 3/32" x 108 Glieder 
Bremsen: Tektro C310 V-Brakes
Reifen: CST Tires 20" x 1,75" / 47-406 mit Straßenprofil
Felgen: Zündapp Aluminium Doublewall, 36 Loch
Speichen: rostfreier Stahl, 36 Stück, Durchmesser: 2,3 mm
Naben: Stahl
Sattel: Zündapp Komfort Citysattel
Sattelstütze: Zoom Aluminium Federsattelstütze, Federweg: 50 mm, Durchmesser: 30,9 mm, Länge: 350 mm
Pedale: Kunststoff Faltpedale, 9/16" Gewinde
Beleuchtung: Spanninga Brio LED vorne, Spanninga Vivo LED hinten gemäß StVZO, akkubetrieben
Gepäckträger: Aluminium, im Rahmen integriert, Tragfähigkeit: bis 25 kg, mit Federklappe und Spanngummis
Schutzbleche: Stahl, Breite: 55 mm
Kettenschutz: Kunststoff, halbe Kettenabdeckung
Motor: SY Radnabenmotor hinten, 36 V, 250 W, max. 30 Nm
Trittunterstützung: bis max. 25 km/h
Akku: Lithium-Ionen Rahmenakku, 36 V, 7,5 Ah, 270 Wh, 1,9 kg
Reichweite: 10 - 65 km je nach Fahrweise und Zuladung
Ladedauer: 2,5 - 4 h je nach Ladegerät
Display: King Meter T320 LED
Unterstützungsstufen: 3 + Schiebehilfe
Faltmaß: L 97 cm x H 67 cm x B 44 cm
Lenkerhöhe vom Boden: 98 - 110 cm
Sattelhöhe vom Boden: 82 - 96 cm
empfohlene Körpergröße: 150 - 180 cm
zulässiges Gesamtgewicht: 110 kg
Gewicht: 21,1 kg (inkl. Akku)
Lieferzustand: 98 % vormontiert
Lieferumfang: 1 Fahrrad mit Zubehör (Reflektoren, Glocke, Seitenständer, Schutzbleche, Kettenschutz, Gepäckträger, Beleuchtung, Ladegerät, Betriebsanleitung)
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SKU: 66991238048

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Hashi Hanta
Bozeman, US
★★★★★ 5
Excelllent book
Format: Hardcover
As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
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Reviewed in the United States on February 14, 2019
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Carol
Houston, US
★★★★★ 5
Need to read book
Format: Hardcover
The truth about the Native people. THANK YOU Kent for writing this book. We purchased about 12 total.
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Reviewed in the United States on November 24, 2019
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Walter Echo-Hawk, author of THE SEA OF GRASS.
Omaha, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
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Par
Los Angeles, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
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Richard Hackathorn
Boise, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
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Reviewed in the United States on February 26, 2022

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