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    3. Data Structures and Algorithms (C# code in GitHub)

    Data Structures and Algorithms (C# code in GitHub)

    Posted By: lucky_aut
    Date: 21 Aug 2023 06:31:10
    Data Structures and Algorithms (C# code in GitHub)

    Data Structures and Algorithms (C# code in GitHub)
    Duration: 6h34m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.46 GB
    Genre: eLearning | Language: English

    Search, Sort, Binary Heaps, Binary Trees, Nary Trees (paired with C# implementations in an open source GitHub repo)

    What you'll learn
    Sort algorithms (bubble, insertion, selection, quick, merge, heap, radix), Search algorithms (linear, hash-table, binary, ternary, jump, exponential, fibonacci), Binary Search Trees, AVL trees, Red-Black trees, B-Trees, B+Trees, Min Binary Heap, Max Binary Heap, Min-Max Binary Heap
    Requirements
    Some familiarity with basics in computer science may be useful but is not a must
    Description
    This course teaches a comprehensive list of
    basic
    and
    advanced
    data structures and algorithms
    , an essential topic of
    coding interviews at tech companies.
    The course is paired with
    a C# GitHub open source project
    (username: PiJei, repository name: AlgorithmsAndDataStructures)

    where each algorithm is tagged with its
    space and time complexities (Big O)
    , and tested for correctness with the exact same examples used in this course.
    If you are a developer or a graduate student who is
    preparing for coding interviews
    at large tech firms as Google, Amazon, Facebook, Apple, Microsoft, or smaller high tech companies, you have landed in the right place. By attending this course you will learn the essential and complex data structures and algorithms, once and for all.
    Some algorithms are taught over a medium size example such that the algorithm repeats itself several times until it is no longer complex and rather easily understood.
    You are expected to maintain the knowledge gained via this course for a very long period of time. This is because this course makes heavy usage of animations , examples, and repetitions, which are the keys for deeply learning new topics.
    The course has 45 lectures (~ 400 minutes) covering the following topics:
    Search Algorithms:
    Linear Search
    Hash-Table Search
    Jump Search
    Exponential Search
    Fibonacci Search
    Binary Search
    Ternary Search
    Interpolation Search
    Sort Algorithms:
    Bubble Sort
    Insertion Sort
    Selection Sort
    Quick Sort
    Merge Sort
    Radix Sort
    Heap Sort
    Binary Heaps:
    Min Binary Heap
    Max Binary Heap
    Min-Max Binary Heap
    With these operations:
    Build
    Insert
    Delete
    Binary Trees:
    Binary Search Tree
    AVL Tree
    RedBlack Tree
    With these operations:
    Insert
    Delete
    Nary Trees:
    B Tree
    B+ Tree
    With these operations:
    a. Insert
    b. Delete
    Who this course is for:
    Anyone preparing for coding interviews at GAFAM, or high tech firms
    Students of computer science/engineering



    More Info
    UPWARDS