Mosh Hamedani – The Ultimate Data Structures & Algorithms: Part 1
Description Boost your employability He studied Computer Science, but they will never be truly understood the complex algorithms in place of paying attention to it? Or maybe you’re a self-taught programmer, with little to no knowledge of this plays an important role. Or perhaps you do not need a conversation, because you could not answer basic data structure and algorithm questions. Data structures and algorithms are no standards to answer the questions. Developers who want to know about data structures and algorithms is better to answer the questions. That’s why companies like Google, Microsoft, and Amazon, and not always to interview questions on the data structures and algorithms. They want to evaluate your problem-solving skills. It is not how many programming languages, and frameworks should be familiar about the care of AT THE END OF COURSE you’ll be able to … ACE other coding interview Write better, faster code better developer Problem solving skills sauce Master of science foundation In diameter all the necessary data structures from scratch Master dozens of people algorithms And you’ll have to learn This is the first time in the series. In this part, we’ll be focusing on linear data structures. 2 Some of the trees and graphs. 3 out of the question, string manipulation and sorting algorithms. Here’s what you’re going to learn from the first part; Big O notation vestft a linked list Cocks Queues ash tables This is especially a lot of research and a series of algorithms online. All picked by example and exercise democratic interview questions asked by Google, Microsoft, Amazon, and other big companies. Those runner? Who is preparing just coding dui Computer science students, of whom failed to explain the places of the reader, But who is the self-taught developers frequently entangle myself in a computer science degree He who wishes to arrive at a better developer course curriculum getting Started Preview1 – Lineamenta (2:52) Start2 – Source Code Big O notation (16 m) Preview1 – Introduction (0:24) Preview2 – What is Big O (1:58) Preview3 – O (1) (1:29) Preview4 – O (n) (3:44) Preview5 – O (n ^ 2) (2:24) Start6 – O (log n) (2:39) Start7 – O (2 ^ n) (0:50) Start8 – Space complexity (2:32) Start9 – Cheat Sheet Vest (30 m)Start1 – Introduction (0:44) Start2 – your understanding (3:08) Start3 – Work vests in Java (3:29) Start4 – exercise – Sorted Family (2:51) Start5 – The solution – divisions (3:19) Start6 – The solution – insert () (4:19) Start7 – The solution – is removed () (4:50) Start8 – The solution – indexOf () (2:28) Start9 – takes your (3:48) Start10 – vest – English Start11 – Summary (1:09) A linked list (54 m) Start1 – Introduction (0:36) Start2 – What are the linked list (4:33) Start3 – Work linked list (3:24) Start4 – army – building a connected Album (1:25) Start5 – The solution – addLast (6:09) Start6 – The solution – addFirst (2:13) Start7 – The solution – indexOf (1:54) Start8 – The solution – contains (1:05) Start9 – The solution – removeFirst (4:23) Start10 – The solution – removeLast (4:40) Start11 – foster size () (4:15) Start12 – converting Linked white vest (2:10) Start13 – Cheat sheets (1:12) Start14 – vest are united Album (3:21) Start15 – General linked list (3:14) Start16 – exercise – Reversing a connected Album (1:33) Start17 – The solution – Reversing a connected Album (9:00) Start18 – Exercise – KTH Node a fine (3:20) Start19 – The solution – KTH Node a fine (5:22) Start20 – linked list – English Start21 – Summary (1:12) Quick starts Note Stacks (42 m) Start1 – Introduction (0:31) Start2 – Why the Cocks (2:47) Start3 – Work Cocks (2:21) Start4 – exercise – Reversing a string (0:41) Start5 – The solution – Reversing a string (5:01) Start6 – exercise – Balanced Expressions (2:54) Start7 – The solution – A Basic Implementation (5:17) Start8 – The solution – supporting other Hooks (3:36) Start9 – The solution – First Refactoring (4:09) Start10 – The solution – Second Refactoring (5:50) Start11 – exercise – Building heap Using an Array (0:47) Start12 – The solution – foster heap Using an Array (8:18) Start13 – Cocks – English Start14 – Summary (0:33) Queue (53 m) Start1 – Introduction (0:26) Start2 – What are dispelled (2:04) Start3 – across Java (5:12) Start4 – exercise – Reversing a queue (1:06) Start5 – The solution – Reversing a queue (2:17) Start6 – exercise – Building CNN Using an Array (2:03) Start7 – The solution – A Basic Implementation (6:32) Start8 – The solution – Circular vest (5:54) Start9 – exercise – foster CNN Using the heap (0:55) Start10 – The solution – Using a Library Building CNN (7:43) Start11 – The first queue (1:53) Start12 – army – building Before Queue (3:57) Start13 – The solution – building Before Queue (8:51) Start14 – The solution – Refactoring (3:02) Start15 – Queue – English Start16 – Summary (0:57) Ash table (68 m) Start1 – Introduction (0:26) Start2 – What are the ashes of the month (2:44) Start3 – when my work table (6:06) Start4 – exercise – Find First Non-frequent account (0:54) Start5 – The solution – First Non-repetitive behavior (7:39) Start6 – kill (2:23) Start7 – exercise – First Frequent account (0:32) Start8 – The solution – The first Frequent account (2:36) Start9 – emboldened functions (5:55) Start10 – Shift (1:06) Start11 – chaining (1:40) Start12 – An open and addresses – Linear Probing (2:41) Start13 – An open and addresses – Square Probing (1:29) Start14 – An open and addresses – Double Hashing (3:19) Start15 – exercise – to build a HashTable (2:36) Start16 – The solution – set () (6:07) Start17 – The solution – get () (4:29) Start18 – The solution – to remove () (2:30) Start19 – The solution – Refactoring (11:04) Start20 – The ash tables – English Start21 – Summary (1:25) Start22 – Of course wrap (0:32) Start23 – Gloria
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