SKU: 71590064207

Data Structures in Python

Sale price$344.25 Regular price$382.50
Save 10%

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 14 - Jul 19

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

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).

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 71590064207

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.7 ★★★★★
Based on 793 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
F
Verified Purchase
Fred
Omaha, US
★★★★★ 5
Can’t Miss Shoe
Size: 11, Color: White/Blue Crystal/Total Orange, Size: 11, Color: White/Blue Crystal/Total Orange
Great looking shoe! Fit to form, I wear a size 101/2 or 11 and I ordered a size 11 and they fit perfectly. Soft and comfortable perfect for walking as I suffer from knee and back pain at 59 years old…. Don’t judge me. Normal width size for me so not sure about the wide fit but the toe room for me is comfortable. Great choice will definitely recommend.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 8, 2026
A
Verified Purchase
Amazon Customer
Grantham, US
★★★★★ 5
Yes Go Nike!
These Nike men's shoes are very comfortable. It's a pretty versatile shoe. I am able to work out in the gym, go for hikes, walk on the street and run errands all with ease and comfortability. They are sturdy, have good cushion and great support for your joints and back keeping you aligned. They lean on the more narrow side for fit so if you have wide feet they may not work for you. The green around the heal is attractive. The price I paid for the shoes was extremely reasonable making them a great value. I have been using them for a couple of months now and they are still in great shape. Excellent buy!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
N
Verified Purchase
Nick
Lake Worth, US
★★★★★ 5
Great shoes!
Size: 10, Color: Pure Platinum/Bright Crimson/White/Black
One of my all time best! Fits my style and super comfortable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 13, 2026
I
Verified Purchase
Irish711
Pawtucket, US
★★★★★ 5
Nice fit, classy looking sweater
Size: Medium, Color: Navy Blue
I bought this for my husband because now that he is retired and lost weight, he needs casual clothing to go out and socialize. This sweater is both classic and sporty, working well in a golf course or a night out. It is soft, washes well and fit perfectly. I am ordering more in different styles and colors. It is light weight and not bulky.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2025
P
Verified Purchase
Previous Subscriber
Los Angeles, US
★★★★★ 5
Nice sweater
I wasn't sure what to think of this sweater. It looked nice, but I don't know. Then I wore it out one night. I totally got laid that night. Highly recommend.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 25, 2026

recommand products