SKU: 7164417641

eBike Himiway Escape Pro - Black - Ready to Ride

Sale price$809.55 Regular price$899.50
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Description

eBike Himiway Escape Pro - Black - Ready to RideHimiway Escape Pro Black Ready to Ride Electric Bike Himiway authorized dealer in San Diego & EscondidoTemecula eBike Shop is set up to serve local riders in Escondido, Ocean Beach, and San Diego while also offering shipping for customers outside the area. Designed with compact urban riding in mind, the Himiway Escape Pro Black Ready to Ride combines approachable size, practical utility, and everyday electric bike convenience. Its rear wheel motor

Himiway Escape Pro - Black - Ready to Ride Electric Bike

Himiway authorized dealer in San Diego & Escondido

Temecula eBike Shop is set up to serve local riders in Escondido, Ocean Beach, and San Diego while also offering shipping for customers outside the area.

Designed with compact urban riding in mind, the Himiway Escape Pro - Black - Ready to Ride combines approachable size, practical utility, and everyday electric-bike convenience. Its rear-wheel motor works with twist-throttle control and electric assist to provide smooth assistance up to city-friendly speeds, while 840 Wh and 30-50 miles make it a strong fit for shorter daily trips. Its compact proportions help keep the ride manageable and approachable. compact wheels and city-friendly proportions help the bike stay practical for everyday use.

Key Features

  • 750W Brushless Geared Hub Motor: 750W motor with up to 80Nm max motor torque for capable acceleration and terrain-conquering support.
  • Samsung/LG Lithium-ion Battery: 48V 17.5Ah battery (840Wh) designed for long life expectancy and consistent performance.
  • 30–50 Mile Range: Up to 50+ miles per charge on pedal-assist mode and around 35 miles on pure electric power mode (range varies by rider weight, incline, and assist level).
  • Full Suspension Comfort: Dual suspension with hydraulic lockout support for improved control and traction under complex riding conditions.
  • 20" x 4.0" Kenda Fat Tires: Kenda K1188 Krusade 20x4.0 tires designed for grip and stability across rugged roads and varied conditions.
  • Shimano 7-Speed Drivetrain: Shimano Altus M310 7-speed groupset with Shimano MF-TZ500-7 14–28T freewheel for versatile cadence control.
  • Mechanical Disc Braking: Tektro ARIES MD-M300 mechanical disc brakes with 180mm rotors front and rear for dependable stopping power.
  • Integrated Safety Lighting: Integrated brake light plus 48V LED front light for improved visibility.
  • Multifunction LCD Display: Backlit LCD display with USB charging, riding state info, cycling data, and fault warning.
  • Half-Twist Throttle: Half-twist throttle designed to help prevent accidental activation.
  • High Payload Capacity: 330 lb max payload capacity for a wide range of riders and carry needs.

Specifications

Feature Details
Frame 6061 Aluminum frame
Recommended Height 5'1" ~ 6'1"
Rider Height 5'1" ~ 6'5"
Total Length (A) 69
Handlebar Height (B) 44.5
Handlebar Length (C) 28
Wheelbase (D) 45
Wheel Diameter (E) 23
Minimum Seat Height (F) 23.8
Chain Stay Length (H) 19.7
Head Tube Length (L) 6.3
Standover Height (N) 16.9
Headset Neco A16M 44*44*30
Fork WB800-HLO-20" 28.6*25.4*270mm lockout & preload adjustable
Rear Shock Dual coil spring suspension 290mm
Motor 750W brushless gear motor
Max Motor Torque 80Nm
Top Speed 20+ mph (reach speeds of up to 20 mph, no pedaling required)
Battery Samsung/LG 48V 15Ah
Battery (listed feature) 48V 17.5Ah Samsung/LG Lithium-ion Battery (840Wh)
Battery Capacity 840 Wh
Controller 48V/22A
Charger US standard 2.0 A smart charger
Range 30-50 miles
Wheels Front wheel: Aluminum integrated wheel / Rear wheel: Aluminum integrated wheel
Tires Kenda K1188 Krusade 20x4.0
Display LCD display with USB charging
Throttle Half twist throttle
Sensors Cadence sensor丨speed sensor丨brake sensor
Crankset Crank arm: 4-jaw L/R forged alloy 170mm | Chain ring: 46T
Freewheel Shimano MF-TZ500-7 14-28T
Chain KMC Z8.3-EPT 120L
Groupset Shimano altus M310 7 speed
Brakes Tektro ARIES MD-M300 mechanical disc brakes (front & rear)
Rotors Tektro TR180-24 F:180mm R:180mm
Stem MA-5040 28.6*31.8mm
Handlebar HB-6001 22.2*31.8*710mm
Saddle Himwiay saddle
Pedals Aluminum pedal
Lights 48V LED light
Kickstand Heavy-duty aluminum kickstand
Weight 92lb.(with battery)
Max. Payload Capacity 330 lb.

Assembly & Build Options

Ready to Ride (Professionally Assembled)

The “Ready to Ride” option includes full professional assembly by our certified technicians. Each eBike is carefully built, safety-checked, tuned, and test-ridden to help ensure optimal performance and reliability before pickup.

Your eBike will be fully prepared for immediate riding from our retail location—no setup required. In the event of a manufacturer-covered warranty issue, our service team will coordinate directly with Himiway on your behalf, including parts processing and warranty facilitation.

Manufacturers Warranty: https://himiwaybike.com/pages/warranty

Why Choose This Model?

The Himiway Escape Pro - Black - Ready to Ride stands out by pairing everyday practicality with a compact, city-oriented footprint. Its responsive motor, compact wheel configuration, 840 Wh, 30-50 miles, and performance up to controlled give it the fundamentals many riders want for routine urban mobility.

At Temecula eBike Shop, this bike feels like a smart fit for riders who want an accessible eBike with disc brakes and a manageable overall feel. It is particularly well suited to customers who care more about practical ownership and easy daily use than oversized power or unnecessary complication.

Explore More

Explore additional compact and everyday-oriented eBikes at Temecula eBike Shop, where practical commuting features and easy-to-live-with designs remain a priority.

Temecula eBike Shop brings together premium eBike brands, practical model variety, and local California support for customers visiting Escondido, Ocean Beach, or San Diego, with shipping available across the USA.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 7164417641

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4.3 ★★★★★
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Amazon Customer
Louisville, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
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Kindle Customer
Los Angeles, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
T
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Tommy Jonsson
Boise, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
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Moses Kayanda
Bozeman, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
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Gabe Rigall
Port Orchard, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
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Reviewed in the United States on February 26, 2022

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