SKU: 76081579907

Trestles Elite Eco 30 Sleeping Bag (-1°C) LONG

Sale price$202.47 Regular price$224.97
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Description

Trestles Elite Eco 30 Sleeping Bag (-1°C) LONGGo long with a bag that measures up to your loftiest aspirations for comfort, warmth, and all weather resilience. This extra long, super lofty synthetic mummy bag is purposefully constructed with 100% recycled mono material fabrics and insulation. Light, plush, and packable with insulation that stays warm in wet conditions, this bag is your home away from home whether you're peeling it out of your pack on the trail or pulling it out of your trunk at

Go long with a bag that measures up to your loftiest aspirations for comfort, warmth, and all-weather resilience. This extra-long, super-lofty synthetic mummy bag is purposefully constructed with 100% recycled mono-material fabrics and insulation. Light, plush, and packable with insulation that stays warm in wet conditions, this bag is your home away from home whether you're peeling it out of your pack on the trail or pulling it out of your trunk at the campground. The full-length left-side anti-snag zipper and additional short-right zipper let you control your comfort with precision and a cozy blanket-like feel—while the ISO tested temperature-rating means you can rest assured that your bag will hold up when temps hit freezing. Roomy footbox gives your feet room to relax and recharge while insulated draft tube ensures cold air can't drift in when you're drifting off. An internal stash pocket is ideal for your contact lenses or headlamp, while the included compression sack means you can cinch, stuff, and head out for the week or the weekend.

  • Mono-material design: Purposefully constructed with 100% recycled polyester fabrics and insulation
  • Gender-free design: Long length fits sleepers up to 6'6"
  • 100% recycled ElixREco insulation for maximum warmth, loft, and soft comfort
  • Full-length left-side 2-way zip with anti-snag slider for improved ventilation, versatility, and access
  • Maximum loft, warmth and comfort thanks to cold-spot-reducing shingle construction top and blanket construction under your body
  • ISO temperature testing adheres to reliable international standards
  • Internal stash pocket for contact lenses, headlamp, or other must-have items
  • Snagless, insulated draft tube prevents cold air from creeping in and warm air from sneaking out.
  • Anatomically-designed footbox with wrap-around construction adds warmth and roomy comfort
  • Included storage sack and compression sack means you can cinch up, pack down, and head out

Bag Temperature Celcius:    -1°C
Bag Temperature Fahrenheit:    30°F
Product Care:    Machine Wash Cold, Use Liquid Detergent, Do Not Use Powdered Detergent, Gentle Cycle, Tumble Dry Low, Do Not Iron, Do Not Bleach, Do Not Dry Clean, Do Not Use Fabric Softener, Rinse Twice, Do Not Store Wet
Tested Comfort:    32°F / 0°C
Tested Limit:    21°F / -6°C
Footbox Size:    45.7 in, 116 cm
Hip Girth:    57.9 in, 147 cm
Includes Compression Stuff Sack:    YES
Includes Storage Sack:    YES
Includes Stuff Sack:    NO
Insulation Material:    HL-ElixREco, Synthetic Sheet
Insulation Type:    Synthetic Sheet
Shoulder Girth:    62 in, 157 cm
Stash Pocket:    YES
Stuff Sack Size:    18.9 x 9.4 in, 48 x 24 cm
Style Number:    M15422
Product Weight:     1,298.0 g
Zipper Location:    Left Zip

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Exchange/Return Notes
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SKU: 76081579907

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Rory Derrick
Louisville, US
★★★★★ 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.
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Reviewed in the United States on December 2, 2021
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Cory P.
Grantham, US
★★★★★ 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.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Bozeman, US
★★★★★ 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
I
Ira Laefsky
Los Angeles, US
★★★★★ 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
S
Susan
Waukegan, US
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021

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