SKU: 97303941335

E-Z Catch # P-601-H ( SPECIAL 14 GAUGE ) Heavy Duty Green & White Crabs Bait Catching Traps

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Description

E-Z Catch # P-601-H ( SPECIAL 14 GAUGE ) Heavy Duty Green & White Crabs Bait Catching TrapsE Z Catch Saltwater Traps This is the model # P 601H B Commercial Grade Bait Trap.. HEAVY DUTY VERSION MADE WITH 14 GAUGE WIRE.. This trap is made to catch small Green, White or other types of small crabs to catch Blackfish Not Designed for Blue Crab This is a Lot of One Trap.. Trap Measures 30" x 11" x 9" in size.. ( SPECIAL 14 GAUGE EDITION ) No Assembly Required Ready to Use Features Built in Two Funnel Design, Low Profile, Large Single Chamber,

E-Z Catch Saltwater Traps...


This is the model # P-601H-B Commercial Grade Bait Trap..

HEAVY DUTY VERSION MADE WITH 14 GAUGE WIRE..

This trap is made to catch small Green, White or other types of small crabs to catch Blackfish... Not Designed for Blue Crab...

This is a Lot of One Trap..

 Trap Measures 30" x 11" x 9" in size..

( SPECIAL 14 GAUGE EDITION )

No Assembly Required / Ready to Use

Features Built in Two Funnel Design, Low Profile, Large Single Chamber, One Top Door, PVC Coated 14 Gauge Riverdale 1" x 1" mesh Wire... Fastened with Stainless Steel Hog Rings..Funnels are 1/2" x 1" mesh... Just Wire tie in a fish carcus and catch all the bait you need..... Designed to Catch Bait Crabs for Blackfish & Tautog.... Any Questions, Just Ask...

These are Perfect for use by the Serious or Weekend Fisherman..

You've Tried The Rest, Now Try the Best!...Made in the U.S.A.

E-Z Catch Saltwater Traps

Staten Island, New York

Complete line of quality Products...Dealer and Commercial Inquires Welcome!!!

All Our Traps Are Born in America, Made in America, And Will Die in America!

NOT MADE FOR BLUE CRABS


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SKU: 97303941335

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4.4 ★★★★★
Based on 26 reviews
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Product Reviews
Z
Verified Purchase
Zay
Massapequa, 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
Draper, 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.
Houston, 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
Verified Purchase
Frank Gonzalez
Port Orchard, 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
Omaha, 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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