SKU: 81014506648

Fits 1973-1974 Monte Carlo, Tube Size 1-5/8", Stock Headers - Painted 2550HKR

Sale price$140.37 Regular price$155.97
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Description

Fits 1973-1974 Monte Carlo, Tube Size 1-5/8", Stock Headers - Painted 2550HKRThese Hooker RacingHeart headers are for Street Stock cars with Small Block Chevy engine. They fit 1973 1974 GM A Body vehicles as well as 1970 1974 GM F body vehicles. They have 1 5 8 inch primaries with 3 inch collectors, 3 8 inch thick flanges to prevent warping and have merge spears for increased velocity. These are black painted mild steel. Features: 1 5 8 inch primaries x 3 inch collectors Collectors feature merge spears for increased exhaust

These Hooker RacingHeart headers are for Street Stock cars with Small Block Chevy engine. They fit 1973-1974 GM A-Body vehicles as well as 1970-1974 GM F-body vehicles. They have 1-5/8 inch primaries with 3 inch collectors, 3/8 inch thick flanges to prevent warping and have merge spears for increased velocity. These are black painted mild steel.


Features:

  • 1-5/8 inch primaries x 3 inch collectors
  • Collectors feature merge spears for increased exhaust velocity
  • 3/8 inch thick header flanges for strength and maximum sealing surface
  • Black Painted Mild Steel
  • Fits both straight and angle plug heads
  • Requires short oil filter

Specs:

Application Street Stock
Bolt Size 3/8-16 x 3/4
Brand Hooker RacingHeart
CARB (California) Compliant No
Collector Diameter 3.00 inch
Emission Code 4
Engine Chevrolet Small Block Gen I
Header Finish Black Paint
Header Style Long Tube
Primary Tube Dia. 1-5/8 inch
Product Type Headers
Race Only Yes
Tube Material Mild Steel

Application:

Year Make Model Submodel
1970-1981 Pontiac Firebird Formula
1981-1987 Pontiac Grand Prix Brougham
1973-1987 Buick Regal Base
1975-1983 Pontiac Grand Prix LJ
1978-1987 Buick Regal Limited
1970-1981 Pontiac Firebird Base
1973-1987 Pontiac Grand Prix Base
1970-1981 Pontiac Firebird Esprit
1974-1983 Chevrolet Malibu Classic
1973-1988 Chevrolet Monte Carlo Base
1976-1981 Chevrolet Malibu Classic Landau
1980-1981 Oldsmobile Cutlass LS
1970-1981 Pontiac Firebird Trans Am
1979-1981 Chevrolet Camaro Berlinetta
1981 Oldsmobile Cutlass Supreme
1973-1981 Chevrolet Malibu Base
1973-1981 Chevrolet Monte Carlo Landau
1981 Chevrolet Camaro Sport
1980-1981 Oldsmobile Cutlass Brougham
1975-1980 Chevrolet Malibu Classic Estate
1977-1980 Chevrolet Malibu Sport
1977-1980 Chevrolet Malibu Classic Sport
1976-1980 Chevrolet Camaro Rally Sport
1973-1980 Chevrolet Malibu Estate
1978-1980 Chevrolet Monte Carlo Sport
1970-1980 Chevrolet Camaro Base
1976-1979 Chevrolet Malibu Landau
1979 Chevrolet Malibu Police
1986-1988 Chevrolet Monte Carlo LS
1983-1988 Chevrolet Monte Carlo SS
1985-1987 Oldsmobile Cutlass Salon
1984-1987 Pontiac Grand Prix LE
1983 Chevrolet Monte Carlo CL
1982-1983 Buick Regal Estate Wagon
1970-1981 Chevrolet Camaro Z28
1975-1980 Pontiac Grand Prix SJ
1973-1980 Oldsmobile Cutlass Base
1976-1979 Oldsmobile Cutlass Vista Cruiser
1979 Oldsmobile Cutlass Vista Cruiser Brougham
1976-1978 Chevrolet Camaro LT Rally Sport
1973-1978 Chevrolet Camaro LT
1973-1977 Chevrolet Monte Carlo S
1976-1977 Buick Regal SR
1970-1975 Chevrolet Camaro RS
1981 Buick Regal Sport
1975-1977 Oldsmobile Cutlass 442
1977 Oldsmobile Cutlass Colonnade
1976-1977 Oldsmobile Cutlass Colonnade S
1973-1977 Oldsmobile Cutlass S
1970-1972 Chevrolet Camaro SS
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SKU: 81014506648

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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.
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Reviewed in the United States on December 2, 2021
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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
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Frank Gonzalez
New York, 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
Houston, 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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Susan
Waukegan, US
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021

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