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Autor Tópico: Data structure and algorithms for interviews (2022)  (Lida 48 vezes)

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Data structure and algorithms for interviews (2022)
« em: 16 de Novembro de 2022, 10:18 »


Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 lectures (57m) | Size: 324 MB
Ace your Tech Interviews

What you'll learn
Understand patterns behind common coding interview question
Time and Space Complexity of Data Structures and Algorithms
Solutions to problem discussed
Code for solutions in Python
Requirements
python
basic idea of Data Structures and Algorithms
Leetcode account
Description
Covers around 200+ most popular coding interview problems ranging from a variety of topics   Two PointersEasy Pair with Target Sum Remove Duplicates  Squaring a Sorted Array Medium Triplet Sum to Zero Triplet Sum Close to Target Triplets with Smaller Sum Subarrays with Product Less than a Target Dutch National Flag Problem Fast & Slow PointersEasyMiddle of the LinkedListLinkedList Cycle Medium Start of LinkedList CycleHappy Numbers Bitwise ManipulationSingle Numbers Single Number IISingle Number IIIFlipping the imageSliding Window Easy Maximum Sum Subarray of Size K Smallest Subarray With a Greater Sum Medium Longest Substring with maximum K Distinct Characters  Fruits into Baskets HardLongest Substring with Distinct Characters Longest Substring with Same Letters after Replacement Longest Subarray with Ones after Replacement ArraysMedium Group AnagramsHardTrapping Rain WaterMerge IntervalsMedium Intervals Intersection Conflicting Appointments Linked ListEasyReverse a Linked List Medium Reverse a sub list Reverse a k-element sub list Two HeapsMedium Find the median of a number streamHardMaximum CapitalSliding Window Median  Top k elementsEasyTop 'K' Numbers Kth Smallest Number 'K' Closest Points to the Origin Connect Ropes MediumTop 'K' Frequent Numbers Frequency Sort Kth Largest Number in a Stream 'K' Closest Numbers Maximum Distinct Elements Sum of Elements HardRearrange String K-way mergeBinary SearchGreedy TechniqueBacktracking1D Dynamic programing 2D Dynamic programing Cyclic SortTopological SortStacksQueuesDepth First SearchBreadth First Search TrieHash MapsMath TricksMiscellaneous
Who this course is for
Software Engineers who want to ace coding interviews in top tech firms

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