Python Data Structures, Algorithms and Time Complexity Guide

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + .srt | Duration: 52 lectures (5h 41m) | Size: 2.05 GB The Definitive Coding Interview Guide: Crack Whiteboard Questions & Recognize Patterns in the Most Popular Topics What you'll learn: Learn the most commonly asked questions by the likes of Facebook, Google, Amazon and Spotify for beginners. Refresh your Python knowledge in the 10 most popular topics asked at the coding interview Learn not only concepts but also be able to articulate your thought process as you plan and execute a solution. Analyze the time complexity of various algorithms Learn how to recognize patterns for solutions to coding interview questions. Land a high paying role as a software developer/programmer. Learn the best way to answer an interview question Learn through hands-on coding examples and learn to solve problems quickly Requirements No IDE necessary. We'll run Python in the browser with Repl. Experience with object-oriented programming fundamentals. If you need experience, enroll in Ultimate Python Beginner Course. Learn to code today! by Mammoth Interactive Description Data Structures + Algorithms to Crack the Coding Interview Only in Python Data Structures, Algorithms and Time Complexity Guide, learn the best way to answer an interview question, look at the most commonly asked questions, and analyze time complexity of various algorithms. Interview Question Solutions and Time Complexity Learn through hands-on coding examples and learn to solve problems quickly. Refresh your Python knowledge and solve new problems with the most common beginner interview questions asked by FANG companies. Algorithms & Data Structures - Ultimate Coding Interview Prep Learn the most commonly asked questions by the likes of Facebook, Google, Amazon and Spotify for beginners. Preparing for the Python interview is hard. You need to understand not only concepts but also be able to articulate your thought process as you plan and execute a solution. COURSE BREAKDOWN Section 0: Introduction to Interview Questions Course Overview FizzBuzz: Print the numbers from 1 to 100 and for multiples of '3' print "Fizz" instead of the number and for the multiples of '5' print "Buzz". Types of Time Complexity: Learn the types of time complexity in Big-O Notation in order of horrible to good. Section 1: String/Array Interview Questions 01 Reverse Words in a String: Given an input string, reverse the string word by word. 02 Rotate Array: Rotate an array of n elements to the left by k steps. 03 Isomorphic Strings: Given two strings a and b, determine if they are isomorphic. 04 Kth Largest Element in an Array: Find the kth largest element in an unsorted array. Note that it is the kth largest element in the sorted order, not the kth distinct element. Section 2: Matrix Interview Questions 01 Set Matrix Zeroes: Given a 2D matrix, if an element is 0, set its entire row and column to 0. Do it in place. 02 Spiral Matrix: Given a 2D matrix, return all elements of the matrix in spiral order. 03 Number of Islands: Given a 2D grid map of 1s (land) and 0s (water), count the number of islands. Section 3: Linked List Interview Questions 01 Implement a Stack Using an Array: Implement a stack using an array. 02 Add Two Numbers: You are given two linked lists representing two non-negative numbers. The digits are stored in reverse order and each of their nodes contain a single digit. Add the two numbers and return it as a linked list. 03 Reverse a Linked List: Reverse a singly linked list. Section 4: Tree Interview Questions 01 Inorder Traversal: Perform inorder traversal on a binary tree. 02 Preorder Traversal: Perform preorder traversal on a binary tree. 03 Postorder Traversal: Perform postorder traversal on a binary tree. 04 Binary Tree Maximum Path Sum: Given a binary tree, find the maximum path sum. Section 5: Graph Interview Questions 01 Clone an Undirected Graph: Each node in the graph contains a label and a list of its neighbors. Section 6: Sorting and Time Complexity 01 Bubble Sort Algorithm: Sort a list with bubble sort. 02 Selection Sort Algorithm: Sort a list with selection sort. 03 Insertion Sort Algorithm: Sort a list with insertion sort. 04 Quick Sort Algorithm: Sort a list with Quick Sort. 05 Merge Sort Algorithm: Sort a list with Merge Sort. 06 Time Complexity of Different Sorting Algorithms Section 7 Dynamic Programming Interview Questions 01 Coin Change: You are given coins of different denominations and a total amount of money amount. Write a function to compute the fewest number of coins that you need to make up that amount. 02 Edit Distance: Find the edit distance between two strings. 03 Distinct Subsequences: Given a string S and a string T, count the number of distinct subsequences of T in S. 04 Maximum Sum Subarray: Find the sum of contiguous subarray within a one-dimensional array of numbers which has the largest sum Section 8 Bit Manipulation Interview Questions 01 Bitwise and Shift Operators: Manipulate bits and shift bits to change values. 02 Single Number: Given an array of integers, every element appears twice except for one. Find that single one. 03 Sum of Two Integers: Calculate the sum of two integers a and b, but you are not allowed to use the operator + and -. 04 Number of 1 Bits: Take an unsigned integer and return the number of '1' bits it has (also known as the Hamming weight.) 05 Reverse Bits: Reverse the bits of a given 32 bit unsigned integer. 06 Bitwise AND of a Range: Given two non-negative long integers, a and b and given a Section 9 Combinations and Permutations Interview Questions 01 Permutations: Print all permutations of a given string. 02 Distinct Permutations of a String: Print all distinct permutations of a string that contains duplicates. 03 Letter Combinations of a Phone Number: Given a digit string, return all possible letter combinations that the number could represent on a phone board. 04 Factor Combination: Return all possible combinations of an integer n's factors. Section 10 Math Interview Questions 01 Reverse Integer: Reverse the digits of an integer n. 02 Palindrome Number: Determine whether an integer is a palindrome. Do this without extra space. 03 Excel Sheet Column Number: Given a column title from an Excel sheet, return its corresponding column number. A SCHOOL YOU CAN TRUST Lifetime access that never expires Project-based curriculum to superboost your portfolio Graduation certificate for every course Absolute beginner-friendly New courses every month Efficient lectures with step by step explanations Relevant industry topics 8 years of award-winning course delivery 800,000 students in 186 countries Learn with free tools and affordable courses REVIEWS OF MAMMOTH COURSES Captivating voice, easy to follow at a rapid pace, get some paper and fasten your seat-belts. I'm enjoying every second of this. - PHILIP MURRAY I have completed many Udemy tutorials. This one is the most outstanding one that I have seen thus far. It is doubtful that it could be topped. This is a superior tutorial. Amazing. - JOSEPH APPLEGARTH COURSE AUTHOR Alexandra Kropova, Software Developer at Mammoth Interactive INC. Alexandra Kropova is a software developer specializing in OOP and jаvascript, with extensive experience in full-stack web development and app development. She has helped produce courses for Mammoth Interactive INC. since 2016, including the Coding Interview series in Java, jаvascript, C++, C#, Python and Swift. Who this course is for Anyone learning Python You have a Python interview coming up and need to learn how to answer questions properly You need to learn the most popular questions that you might be asked You need to learn the top 10 most common topics asked about and sample questions for each You haven't used Python in a while and want to refresh your knowledge Homepage https://www.udemy.com/course/python-data-structures-algorithms-and-time-complexity-guide/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

Download now LINK Python Data Structures, Algorithms and Time Complexity Guide Fast Download
Python Data Structures, Algorithms and Time Complexity Guide Full Download