SKU: 902360666

Upbeat Protein Energy Tropical 500ml

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Description

Upbeat Protein Energy Tropical 500mlProtein helps maintain muscle and normal bones. Vitamins B3, B5, B6 and B12 support normal energy yielding metabolism and help to reduce tiredness and fatigue. Pantothenic acid (B5) supports normal mental performance. Vitamins B6 and B12 support the normal function of the immune system. Daily Boost, Zero Sugar, Energizing B Vitamins, High Protein, Enriched Hydration for Strength, Energy & Mental Performance, Plant Based Sweetener, Lactose Free Whey

Protein helps maintain muscle and normal bones. Vitamins B3, B5, B6 and B12 support normal energy-yielding metabolism and help to reduce tiredness and fatigue. Pantothenic acid (B5) supports normal mental performance. Vitamins B6 and B12 support the normal function of the immune system. Daily Boost, Zero Sugar, Energizing B Vitamins, High Protein, Enriched Hydration for Strength, Energy & Mental Performance, Plant-Based Sweetener, Lactose Free Whey Protein, Real Fruit, Suitable for Vegetarians.

Ingredients

Water, Whey Protein Isolate (from Milk, 3.3%), Natural Flavorings, Lactic and Citric Acid, Natural Caffeine, BCAA (L-Leucine, L-Valine, L-Isoleucine), Sweeteners (Sucralose, Acesulfame K), Extracts of Apple, Lemon and Safflower, Vitamins (Thiamine B1, Niacin B3, Pantothenic Acid B5, B6, Biotin B7, Folic Acid, B12)

Allergy Information

Contains Milk. Suitable for Vegetarians; No Sugar

Nutritional Information

Typical Values

Per 100ml

Per 500ml

%RI

Energy kJ/kcal

67 / 16

336 / 80

Fat

0g

0g

Of which Saturates

0g

0g

Carbohydrate

0g

0g

Of which Sugars

0g

0g

Protein

3g

15g

Fiber

0g

0g

Salt

<0.01g

<0.01g

0%

Thiamine B1

0.11mg

0.55mg

50%

Niacin B3

1.6mg

8mg

50%

Pantothenic Acid B5

0.6mg

3mg

50%

Vitamin B6

0.14mg

0.7mg

50%

Biotin B7

5µg

25µg

50%

Folic Acid B9

20µg

100µg

50%

Vitamin B12

0.25µg

1.25µg

50%

 

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SKU: 902360666

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Zay
Pawtucket, 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
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Reviewed in the United States on October 23, 2024
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Rory Derrick
Whiting, 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.
Fort Morgan, 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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Verified Purchase
Frank Gonzalez
Omaha, 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
Lexington, 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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