Grokking Algorithms, Second Edition
thg 4 2024 · Simon and Schuster
3,0star
3 bài đánh giáreport
Sách điện tử
320
Trang
family_home
Đủ điều kiện
info
reportĐiểm xếp hạng và bài đánh giá chưa được xác minh Tìm hiểu thêm
Giới thiệu về sách điện tử này
A friendly, fully-illustrated introduction to the most important computer programming algorithms.
Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide!
In Grokking Algorithms, Second Edition you will discover:
The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3.
Foreword by Daniel Zingaro.
About the technology
The algorithms you use most often have already been discovered, tested, and proven. Grokking Algorithms, Second Edition makes it a breeze to learn, understand, and use them. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, it’s the perfect way to unlock the power of algorithms in your everyday work and prepare for your next coding interview—no math required!
About the book
Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3.
What's inside
About the reader
No advanced math or programming skills required.
About the author
Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.
Table of Contents
1 Introduction to algorithms
2 Selection sort
3 Recursion
4 Quicksort
5 Hash tables
6 Beadth-first search
7 Trees
8 Balanced trees
9 Dijkstra’s algorithm
10 Greedy algorithms
11 Dynamic programming
12 k-nearest neighbors
13 where to go next
Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide!
In Grokking Algorithms, Second Edition you will discover:
- Search, sort, and graph algorithms
- Data structures such as arrays, lists, hash tables, trees, and graphs
- NP-complete and greedy algorithms
- Performance trade-offs between algorithms
- Exercises and code samples in every chapter
- Over 400 illustrations with detailed walkthroughs
The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3.
Foreword by Daniel Zingaro.
About the technology
The algorithms you use most often have already been discovered, tested, and proven. Grokking Algorithms, Second Edition makes it a breeze to learn, understand, and use them. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, it’s the perfect way to unlock the power of algorithms in your everyday work and prepare for your next coding interview—no math required!
About the book
Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3.
What's inside
- Search, sort, and graph algorithms
- Data structures such as arrays, lists, hash tables, trees, and graphs
- NP-complete and greedy algorithms
- Exercises and code samples in every chapter
About the reader
No advanced math or programming skills required.
About the author
Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.
Table of Contents
1 Introduction to algorithms
2 Selection sort
3 Recursion
4 Quicksort
5 Hash tables
6 Beadth-first search
7 Trees
8 Balanced trees
9 Dijkstra’s algorithm
10 Greedy algorithms
11 Dynamic programming
12 k-nearest neighbors
13 where to go next
Xếp hạng và đánh giá
3,0
3 bài đánh giá
Giới thiệu tác giả
Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.
Xếp hạng sách điện tử này
Cho chúng tôi biết suy nghĩ của bạn.
Đọc thông tin
Điện thoại thông minh và máy tính bảng
Cài đặt ứng dụng Google Play Sách cho Android và iPad/iPhone. Ứng dụng sẽ tự động đồng bộ hóa với tài khoản của bạn và cho phép bạn đọc trực tuyến hoặc ngoại tuyến dù cho bạn ở đâu.
Máy tính xách tay và máy tính
Bạn có thể nghe các sách nói đã mua trên Google Play thông qua trình duyệt web trên máy tính.
Thiết bị đọc sách điện tử và các thiết bị khác
Để đọc trên thiết bị e-ink như máy đọc sách điện tử Kobo, bạn sẽ cần tải tệp xuống và chuyển tệp đó sang thiết bị của mình. Hãy làm theo hướng dẫn chi tiết trong Trung tâm trợ giúp để chuyển tệp sang máy đọc sách điện tử được hỗ trợ.
