A common-sense guide to data structures and algorithms in Python: level up your core programming skills; Volume 1
If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your Python code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your c...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Dallas, Texas
The Pragmatic Bookshelf
[2023]
|
| Schriftenreihe: | The pragmatic programmers
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9798888650776/?ar |
| Zusammenfassung: | If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your Python code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work. Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The Python edition uses Python exclusively for all code examples, exercise, and solutions. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your Python code faster and more scalable. |
| Umfang: | 1 Online-Ressource. |
| ISBN: | 9798888650790 |
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| spelling | Wengrow, Jay VerfasserIn aut A common-sense guide to data structures and algorithms in Python level up your core programming skills; Volume 1 Jay Wengrow Dallas, Texas The Pragmatic Bookshelf [2023] ©2023 1 Online-Ressource. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The pragmatic programmers If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your Python code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work. Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The Python edition uses Python exclusively for all code examples, exercise, and solutions. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your Python code faster and more scalable. Python (Computer program language) Data structures (Computer science) Computer algorithms Python (Langage de programmation) Structures de données (Informatique) Algorithmes algorithms 9798888650356 Erscheint auch als Druck-Ausgabe 9798888650356 |
| spellingShingle | Wengrow, Jay A common-sense guide to data structures and algorithms in Python level up your core programming skills; Volume 1 Python (Computer program language) Data structures (Computer science) Computer algorithms Python (Langage de programmation) Structures de données (Informatique) Algorithmes algorithms |
| title | A common-sense guide to data structures and algorithms in Python level up your core programming skills; Volume 1 |
| title_auth | A common-sense guide to data structures and algorithms in Python level up your core programming skills; Volume 1 |
| title_exact_search | A common-sense guide to data structures and algorithms in Python level up your core programming skills; Volume 1 |
| title_full | A common-sense guide to data structures and algorithms in Python level up your core programming skills; Volume 1 Jay Wengrow |
| title_fullStr | A common-sense guide to data structures and algorithms in Python level up your core programming skills; Volume 1 Jay Wengrow |
| title_full_unstemmed | A common-sense guide to data structures and algorithms in Python level up your core programming skills; Volume 1 Jay Wengrow |
| title_short | A common-sense guide to data structures and algorithms in Python |
| title_sort | common sense guide to data structures and algorithms in python level up your core programming skills volume 1 |
| title_sub | level up your core programming skills; Volume 1 |
| topic | Python (Computer program language) Data structures (Computer science) Computer algorithms Python (Langage de programmation) Structures de données (Informatique) Algorithmes algorithms |
| topic_facet | Python (Computer program language) Data structures (Computer science) Computer algorithms Python (Langage de programmation) Structures de données (Informatique) Algorithmes algorithms |
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