SKU: 78502188886

100% Whey Natural Cookies & Cream 1.5 kg

Sale price$70.65 Regular price$78.50
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Description

100% Whey Natural Cookies & Cream 1.5 kgDescription Nothing but 1. 5kg of Cookies and Cream tasting whey. Balance 100% Whey is a high protein, gluten free blend with added digestive enzymes. It contains New Zealand sourced whey protein concentrate and whey protein isolate. The whey proteins have been produced by ultra filtration to retain their natural state helping you meet the heavy demands of training. Whether your priority is building lean muscle, improving recovery or both, this

Description

Nothing but 1.5kg of Cookies and Cream tasting whey. Balance 100% Whey is a high protein, gluten free blend with added digestive enzymes. It contains New Zealand sourced whey protein concentrate and whey protein isolate. The whey proteins have been produced by ultra-filtration to retain their natural state helping you meet the heavy demands of training. Whether your priority is building lean muscle, improving recovery or both, this superior tasting protein blend is scientifically developed to enhance your sports nutrition needs.


Ingredients

Balance Protein Blend (95%) [Whey Protein Concentrate, Whey Protein Isolate, Emulsifier (Soy or Sunflower Lecithin)
Natural Flavour, Digestive Enzymes (Bromelain, Papain), Sweetener (Steviol Glycosides).


Directions & Precautions

Balance Whey Natural is not intended as a sole source of nutrition.
It is best taken in conjunction with a nutritious diet and an appropriate physical training or exercise programme.
Not suitable for children under 15 years of age
Pregnant women: Should only be used under medical or dietetic supervision.

Add 28g (1 level scoop) to 200mL of water or other beverage.
Shake or blend until mixed and serve.
May also be added to other foods to increase protein content.
For a low carb drink, mix with water.

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SKU: 78502188886

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4.6 ★★★★★
Based on 21 reviews
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Z
Verified Purchase
Zay
Draper, US
★★★★★ 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
R
Verified Purchase
Rory Derrick
Chelsea, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
C
Verified Purchase
Cory P.
Birmingham, 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
F
Verified Purchase
Frank Gonzalez
New York, 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
West Palm Beach, 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

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