SKU: 35149164329

Sketching for the Absolute Beginner

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Description

Sketching for the Absolute BeginnerLearn how to sketch like a pro with this beginner friendly crash course offering 5 step by step projects and essential technical guidance. Covers a variety of media, including sketching with pencil, pen and ink, charcoal, and more! Starting with a clear, simple method to bring all the senses into play, successful author and acclaimed artist Peter Cronin RSMA shows you how to bring artistry and economy to your sketching. Work your way toward more

Learn how to sketch like a pro with this beginner-friendly crash course offering 5 step-by-step projects and essential technical guidance.

Covers a variety of media, including sketching with pencil, pen and ink, charcoal, and more!

Starting with a clear, simple method to bring all the senses into play, successful author and acclaimed artist Peter Cronin RSMA shows you how to bring artistry and economy to your sketching. Work your way toward more complex, rewarding artworks by following his simple, step-by-step demonstrations and completing 5 projects.

Whether sketching as the basis for painting, or simply for pleasure, this is the ultimate course in sketching for beginners! You'll find guidance on:

- Getting started and understanding materials
- Working with the eye, hand, and heart
- Types of sketching and essential techniques
- Mastering composition
- Handling complex subject matter
- And more!

Most of the artworks are created using graphite pencil, but Peter also demonstrates how to use charcoal and pen and ink to broaden the possibilities; and encourages you to experiment with other media. By the end of the book, you'll know how to take your sketching skills further and become an accomplished artist in your own right!
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SKU: 35149164329

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4.7 ★★★★★
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Zay
Port Orchard, 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
Boise, 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.
Bozeman, 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
Natrona Heights, 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
Whiting, 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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