A common-sense guide to data structures and algorithms : level up your core programming skills /
Take a practical approach to data structures and algorithms, using techniques and real-world scenarios in JavaScript, Python, and Ruby that you can put into production right away. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your da...
שמור ב:
| מחבר ראשי: | |
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| פורמט: | ספר |
| שפה: | אנגלית |
| יצא לאור: |
Raleigh, North Carolina :
The Pragmatic Bookshelf,
2020
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| מהדורה: | 2nd ed |
| סדרה: | The pragmatic programmers
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| נושאים: | |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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| סיכום: | Take a practical approach to data structures and algorithms, using techniques and real-world scenarios in JavaScript, Python, and Ruby that you can put into production right away. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. -- Provided by publisher. If you thought that data structures and algorithms were all just theory, you're missing out on what they can do for your 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. This new edition features practice exercises in every chapter, and new chapters on topics such as dynamic programming and heaps and tries. Get the hands-on info you need to master data structures and algorithms for your day-to-day work. -- Provided by publisher. |
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| תאור פריט: | Previous edition: 2017. Includes index. |
| תיאור פיזי: | xviii, 481 p : illustrations ; 24 cm. |
| ביבליוגרפיה: | Includes bibliographical references and index. |
| ISBN: | 9781680507225 |