SKU: 51565986228

Kensington Pro Fit Low Profile Wireless Keyboard

$49.46 $54.95
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Description

Kensington Pro Fit Low Profile Wireless KeyboardDescriptionSpecificationsShipping The Kensington Pro Fit Low Profile Wireless Keyboard is a reliable solution for the professional workstation Providing a full size, spill proof keyboard, the Pro Fit Low Profile Wireless Keyboard supports a clutter free and secure workstation Low Profile, Full Size Keyboard provides multimedia keys for enhanced productivity and quick access to frequently used applications and files 2. 4GHz USB Receiver provides a

The Kensington Pro Fit Low-Profile Wireless Keyboard is a reliable solution for the professional workstation

Providing a full-size, spill-proof keyboard, the Pro Fit Low-Profile Wireless Keyboard supports a clutter-free and secure workstation

Low-Profile, Full-Size Keyboard provides multimedia keys for enhanced productivity and quick access to frequently used applications and files

2.4GHz USB Receiver provides a reliable wireless connection up to 10 meters for the keyboard

Professional Design offers smooth, low-profile keys to make typing more efficient and comfortable

AES 128-bit encryption technology for a secure wireless connection

Spill-Proof Keyboard resists coffee, water and other liquids

Plug & Play Funcionality

  • OEM: 75229
  • SKU: AC04750
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    SKU: 51565986228

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    4.1 ★★★★★
    Based on 24 reviews
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    Product Reviews
    Z
    Verified Purchase
    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
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on October 23, 2024
    R
    Verified Purchase
    Rory Derrick
    Pawtucket, 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.
    Chelsea, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on August 3, 2021
    F
    Verified Purchase
    Frank Gonzalez
    Houston, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on April 7, 2024
    I
    Ira Laefsky
    Battle Creek, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on February 7, 2021

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