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- Data Structures and Algorithms in JavaScript
Data Structures and Algorithms in JavaScript
85% من المشترين سيوصون بهذا المنتج لصديق
IQD 76168
تفاصيل السعر
باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )
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كمية:
تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية
This book is a one-stop-shop for learning the algorithms and data structures that solve and optimize complex problems.
شحن
سريع
استرجاع
مجاني*
تغليف آمن
منتجات أصلية %100
الامتثال لمعيار PCI DSS
حاصل على شهادة ISO 27001
أبرز ما يلفت الانتباه
تفاصيل المنتج
| Publisher | No Starch Press |
| Publication date | January 28, 2025 |
| Language | English |
| Print length | 592 pages |
| ISBN-10 | 1718502621 |
| ISBN-13 | 978-1718502628 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 1.31 x 9.31 inches (17.8 x 3.3 x 23.6 cm) |
من يجب أن يشتري؟
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Beginner Programmers
Ideal for those starting with JavaScript and seeking to understand fundamental data structures and algorithms.
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Students in CS
Helpful for computer science students needing to grasp essential concepts for courses or exams.
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Self-learners
Great for independent learners looking to enhance their programming skills with hands-on algorithmic practice.
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Advanced Developers
Not suitable for experienced developers seeking in-depth or advanced algorithmic strategies beyond basics.
وصف المنتج
Data Structures and Algorithms in JavaScript
أسئلة العملاء & الإجابات
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سؤال:
What are data structures in JavaScript?
إجابه: Data structures in JavaScript are ways to organize and store data efficiently to make operations like retrieval and modification faster and easier. Common data structures include arrays, objects, sets, and maps. Each serves its purpose based on how data is accessed and manipulated. For instance, arrays allow for ordered collections, while objects provide key-value pairs for more associative data storage. Understanding these structures is fundamental when you want to build effective algorithms for searching, sorting, or managing data efficiently. -
سؤال:
Why are algorithms important in programming?
إجابه: Algorithms are essential in programming because they provide a step-by-step procedure for solving specific problems, enabling developers to design efficient and effective applications. They help determine the best way to perform tasks, optimize performance, and handle data processing. For example, sorting algorithms help organize data for faster retrieval, which is crucial in large databases or search operations. Mastery of algorithms allows programmers to tackle complex challenges and improve the overall user experience in applications. -
سؤال:
How do data structures and algorithms work together?
إجابه: Data structures and algorithms work hand-in-hand; data structures provide the means to store and organize data, while algorithms are created to manipulate this data effectively. For example, a binary search algorithm relies on a sorted array (a data structure) to quickly find an item by dividing the search space in half. Understanding how different algorithms can optimize operations based on the underlying data structures is essential for efficient programming, especially in large-scale applications where speed and resource management are critical. -
سؤال:
What is the time complexity of common algorithms?
إجابه: The time complexity measures how the runtime of an algorithm grows as the input size increases. Common algorithms have varying complexities: for instance, linear search has a time complexity of O(n), while binary search offers O(log n) when used on sorted data. Understanding these complexities helps developers choose the right algorithm for performance-sensitive applications. Knowing when to apply a specific algorithm can dramatically enhance application responsiveness and efficiency, especially in data-intensive environments. -
سؤال:
Do I need to know math to understand data structures and algorithms?
إجابه: While a deep understanding of mathematics is not strictly necessary, having a grasp of basic mathematical concepts can significantly aid in understanding data structures and algorithms. Concepts such as logarithms, combinatory logic, and even a little bit of calculus can help grasp algorithm performance and complexities better. However, practical programming skills and problem-solving abilities are often more vital. For instance, if you're developing applications where performance is key, knowing how to analyze and optimize algorithms using basic math can be incredibly beneficial. -
سؤال:
Can I learn data structures and algorithms without prior programming experience?
إجابه: Yes, you can learn data structures and algorithms without prior programming experience, though having a basic knowledge of programming will speed up your learning. Numerous educational resources, including online courses, textbooks, and tutorials, introduce these concepts from the ground up using examples in JavaScript. Engaging with interactive platforms can provide practical experience, making the concepts easier to grasp. Starting with simple problems and gradually tackling more complex ones will foster a solid understanding essential for coding and software development. -
سؤال:
What resources are available to learn data structures and algorithms in JavaScript?
إجابه: There are numerous resources available for learning data structures and algorithms in JavaScript, including online platforms such as Codecademy, freeCodeCamp, and Coursera, which offer structured courses. Books like 'Data Structures and Algorithms in JavaScript' are excellent for in-depth study, providing practical examples and exercises. Additionally, online communities like Stack Overflow or Reddit offer forums for discussing problems and solutions with peers. Utilizing these resources allows learners to understand the concepts comprehensively and apply them in their programming projects. -
سؤال:
What is the difference between arrays and linked lists?
إجابه: Arrays and linked lists are both data structures used to store collections of data, but they differ fundamentally in how they connect and access elements. Arrays offer fast access to elements via index, making retrieval operations quick. However, resizing an array can be costly when elements are added or removed. In contrast, linked lists consist of nodes where each node points to the next, allowing efficient insertion and deletion but slower access times. Understanding these differences helps programmers decide which structure to use based on the specific needs of their applications. -
سؤال:
What is a common interview question related to data structures and algorithms?
إجابه: A common interview question is to explain how you would implement a function to reverse a linked list. This problem tests understanding of linked list structures and manipulation algorithms. In a typical solution, you'd traverse the linked list while changing the pointers of each node to point to its previous node. This challenge helps assess a candidate's grasp of pointers and recursive versus iterative approaches. Being prepared for such problems can significantly improve interview performance for roles involving software development and data processing. -
سؤال:
Where can I buy Data Structures and Algorithms in JavaScript in Iraq?
إجابه: You can purchase 'Data Structures and Algorithms in JavaScript' from Ubuy. Ubuy is a trusted online retailer that offers a wide selection of books, including technical programming literature. They provide reliable shipping options to Iraq and ensure that you can find the resources you need to enhance your coding skills and understanding of data structures and algorithms. Their user-friendly platform makes it easy to navigate and select the right materials for your learning journey.
JavaScript Editorial Review
مراجعات العملاء وتقييماتهم
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5 نجمة
100%
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3 نجمة
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2 نجمة
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أضف تقييم لهذا المنتج
شارك أفكارك مع عملاء آخرين
إيجابيات
- Comprehensive coverage of concepts
- Practical examples and exercises
- Clear and engaging writing style
- Excellent for beginners and intermediates
- Interactive coding challenges
سلبيات
- Occasional minor typos
منصة موثوقة وثقة كاملة للمشتري
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تاريخ سعر المنتج
معلومات مهمة
- القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
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IQD 76168
اطلب الآن واحصل عليه حول الجمعة, أكتوبر 09
هذا المنتج غير ممنوع في بلدي. (الرجاء الضغط على الرابط أعلاه إذا لم يكن هذا المنتج ممنوعاً في بلدك ، لذلك سيقوم فريقنا بمراجعته والسماح به.)
كمية:
نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.
المميزات والفوائد
- Addresses gaps in JavaScript developers' knowledge of computer science concepts.
- Covers essential algorithms and data structures for problem-solving.
- Includes real-world examples from coding challenges and interviews.
- Designed as a reference manual with immediate on-the-job applications.
- Emphasizes performance from both theoretical and practical perspectives.
- Utilizes the latest version of JavaScript (ECMAScript) for modern relevance.
ضمان Ubuy
تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.