SKU: 71590064207

Data Structures in Python

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Description

Data Structures in PythonThis book offers a collection of real programming interview questions from basic to advanced, with Python solutions. Its an excellent reference to quickly brush up on coding skills and prepare for interviews. Designed to help you master Pythons data structures, it equips you with the tools to build efficient applications and ace your next interview. About the AuthorsRajesh Gadipuuri has over 17 years of experience as a technology leader and software

This book offers a collection of real programming interview questions from basic to advanced, with Python solutions. Its an excellent reference to quickly brush up on coding skills and prepare for interviews. Designed to help you master Pythons data structures, it equips you with the tools to build efficient applications and ace your next interview.About the AuthorsRajesh Gadipuuri has over 17 years of experience as a technology leader and software engineer. He currently works for a top tech company in San Francisco, CA, specializing in building scalable systems and AI-driven platforms. Previously, he held key engineering roles at Apple, Microsoft, VMware, and Bell Labs. Rajesh is passionate about solving complex problems and create impactful solutions. He has authored research papers and served as a peer reviewer in the fields of distributed systems and machine learning. Rajesh holds a Masters degree in Computer Engineering from the University of Massachusetts Amherst.Madhukar Mulpuri is a seasoned technology leader with more than two decades of industry experience in building scalable, high-performance systems and driving innovation across global enterprises. He has led transformative projects at industry giants like Meta, Apple, Yahoo and more where he architected large-scale platforms. An accomplished innovator and thought leader, he has authored multiple peer reviewed papers on advanced topics such as AI and cybersecurity, and holds patents. With a passion for both technology and teaching, Madhukar is dedicated to helping developers at all levels deepen their understanding of core programming concepts.Through this book, Data Structures in Python, he aims to share his extensive knowledge of data structures and their efficient implementation in Python.Venkateswarlu Chennareddy has around 19 years of software product development work experience. He currently works as a Technical Lead at top tech company in USA. Prior to that, he held various Senior Engineering roles at Microsoft, Oracle, Yahoo! and IBM. He holds a Masters degree in Computer Science from Indian Institute of Technology, Guwahati (ITG).

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SKU: 71590064207

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Coreen Jurson
Phoenix, US
★★★★★ 5
Love it!
Size: 5-Tier (Not included planks), Size: 5-Tier (Not included planks)
Years later it is still holding up! Don’t mind the mess! Worth it! Good size! And once it was up it was easy to put together! Love the style!
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Reviewed in the United States on October 26, 2025
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JESSICA
Cuba, US
★★★★★ 5
Easily assembled.
Size: 3Pack of 5 Tier (Not included planks)
Easily assembled, seems sturdy and built to last. Once attached to wall seems even sturdier than expected. Anchor pieces included but I choose to find studs to anchor to.
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Reviewed in the United States on November 12, 2025
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James Collier
Omaha, US
★★★★★ 3
Good but misleading size
Size: 3Pack of 5 Tier (Not included planks)
Sturdy set for shelving. However dimensions are misleading. Not sure if they sent the incorrect size but the vertical distance between shelves was 11” and that’s without the shelving installed
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Reviewed in the United States on February 17, 2026
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Sara
Dallas, US
★★★★★ 5
Worked for pantry
Size: 3Pack of 5 Tier (Not included planks), Size: 3Pack of 5 Tier (Not included planks)
These turned out perfect t for a pantry. Just fyi get better dry wall anchors and you’re golden! Definitely takes two people to put up tho!
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Reviewed in the United States on February 14, 2026
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Heather Kay Wingo
Whiting, US
★★★★★ 5
Great for school
Format: Paperback
Most of my class work came from this book. Honestly non biased and informative.
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Reviewed in the United States on October 11, 2023

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