SKU: 73916113083

Olaplex No. 5P Blonde Enhancer Toning Conditioner - 1000ml

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Description

Olaplex No. 5P Blonde Enhancer Toning Conditioner - 1000mlNo. 5P Blonde Enhancer Toning Conditioner is not just another purple conditioner. This nourishing, root to tip formula locks in high def brightness and neutralizes yellow, brassy tones as it hydrates without weighing hair down. OLAPLEX Bond Building Technology strengthens blonde and grey hair. Benefits Locks In Root to tip Brightness & Tone Weightlessly Softens & Detangles Strengthens For Healthy looking Blondes + Greys Clinical Study Results: After

No.5P Blonde Enhancer™ Toning Conditioner is not just another purple conditioner. This nourishing, root-to-tip formula locks in high-def brightness and neutralizes yellow, brassy tones as it hydrates without weighing hair down. OLAPLEX Bond Building Technology™ strengthens blonde and grey hair.

Benefits

  • Locks In Root-to-tip Brightness & Tone
  • Weightlessly Softens & Detangles
  • Strengthens For Healthy-looking Blondes + Greys

Clinical Study Results: 

After one use, No.5P is clinically proven to:

  • Smooth
  • Strengthen
  • Reduce brassiness
  • Clinically proven color safe.

Key Ingredients:

  • Micro-fine pigments Evenly tone and brighten by reaching porous areas that purple shampoos miss
  • Shea Butter Nourishes, replenishes moisture, and detangles for soft, shiny hair
  • OLAPLEX Bond Building Technology™ Strengthens to support strong, healthy-looking blonde and grey hair

How To Use:

  • Apply a generous amount to clean, damp hair.
  • Leave on for 3 minutes.
  • Rinse thoroughly. Use weekly or as needed.
  • Formulated to follow No.4P Blonde Enhancer™ Toning Shampoo for even, optimal toning.
  • Formulated for all blonde, lightened, and grey hair.

When To Use:

For optimal toning, use after No.4P Blonde Enhancer™ Toning Shampoo. Use as needed to neutralize unwanted brassiness.

  • Natural blondes and greys: Every 1-2 washes
  • Sun-kissed blondes: Every other wash
  • Textured blondes: Every other wash
  • Damaged blondes Once a week
  • Platinum blondes: Every 2-3 washes

No two blondes are created equal. Timing & frequency may vary.

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SKU: 73916113083

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Zay
Natrona Heights, 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
R
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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.
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Reviewed in the United States on December 2, 2021
C
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Cory P.
West Palm Beach, 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
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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
Lake Worth, 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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