SKU: 21336421146

Mercy Giclees

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Mercy GicleesMercy by Rosemarie Adcock The painting by Rosemarie Adcock depicts Micah the prophet (c. 735 BC), a contemporary of the prophet Isaiah, who lamented about the condition of Gods people and declared to them what God expected. In one of the most famous verses in Micah 6, God declares His pleasure is not in spectacular wealth and offerings we might bring him as if to pay for our wrongdoings, but instead Micah declares that God has indeed declared what he

Mercy
by Rosemarie Adcock

The painting by Rosemarie Adcock depicts Micah the prophet (c. 735 BC), a contemporary of the prophet Isaiah, who lamented about the condition of God’s people and declared to them what God expected. In one of the most famous verses in Micah 6, God declares His pleasure is not in spectacular wealth and offerings we might bring him as if to pay for our wrongdoings, but instead Micah declares that God has indeed declared what he desires and it isn’t complicated; we are to display His very character:

 "Will the LORD be pleased with thousands of rams, with ten thousands of rivers of oil? Shall I give my firstborn for my transgression, the fruit of my body for the sin of my soul?

He has shown you, O mortal, what is good. And what does the LORD require of you? To act justly and to love mercy and to walk humbly with your God.”

 In this painting there is a ram (pointing back to the Scripture text) and a bull depicted next to Micah, as he leans over to extend care and lift a barefoot young woman from the ground. Without her own strength to stand, she supports herself by wrapping her hands around his arms as he begins to lift her. The woman is depicted as one poor in spirit, rather than poor in earthly goods. Often those in need of an extension of mercy never show it on the outside, thus it is ours to be always merciful to whomever we encounter.



  
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SKU: 21336421146

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4.3 ★★★★★
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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
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Rory Derrick
Battle Creek, 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.
Lexington, 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
West Palm Beach, 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
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Ira Laefsky
Massapequa, 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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