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Video TrainingMastering critical SKILLS in Algorithms using C++ Part 2



Mastering critical SKILLS in Algorithms using C++ Part 2
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 17 lectures (3h 10m) | Size: 1.25 GB
Master recursive based techniques, greedy and shortest-path algorithms



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Video TrainingData Structures and Algorithms-Part-1





Data Structures and Algorithms-Part-1
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.68 GB | Duration: 6h 27m
Concepts, Implementations and Interview Questions Solving using Java for Linear data structures



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Video TrainingPragmatic Ai - Learn to Containerize Algorithms Deploy to AWS With App Runner



Pragmatic Ai - Learn to Containerize Algorithms Deploy to AWS With App Runner

Pragmatic Ai - Learn to Containerize Algorithms Deploy to AWS With App Runner-iLLiTERATE
English | Size: 563.76 MB
Category: Tutorial

Learn to build greedy algorithms, then convert them to microservices and finally containerized them and deploy to AWS with App Runner.

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Video TrainingAlgoExpert - Become an Algorithms Expert





AlgoExpert - Become an Algorithms Expert
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 160 Lessons (101h 24m) | Size: 21.9 GB
The ultimate resource to prepare for coding interviews. Everything you need, in one streamlined platform



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Video TrainingUdemy - HackerRank Solutions using Algorithms, Data Structure in C#





Udemy - HackerRank Solutions using Algorithms, Data Structure in C#
Instructors: Harshit Gindra | 2 sections * 6 lectures * 58m
Video: MP4 1280x720 44 KHz | English + Sub | Updated 2/2022 | Size: 275 MB

Learn and understand to solve HackerRank problems using different algorithms and data structure to crack IT interviews



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Video TrainingUdemy - Data Structures and Algorithms for Coding Interview





Udemy - Data Structures and Algorithms for Coding Interview
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.30 GB | Duration: 18h 25m
Build your strong understanding in data structures and algorithms for coding interview. Get more job offer.



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Video TrainingUdemy - Data Structure and Algorithms For Big Tech Interviews





Udemy - Data Structure and Algorithms For Big Tech Interviews
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 107 lectures (17h 33m) | Size: 4.16 GB
Write code run faster, use less memory and prepare for Software Engineer Interview with real interview questions



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Video TrainingUdemy - Build Your Own Algorithms with Python Python Primer





Udemy - Build Your Own Algorithms with Python Python Primer
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 963 MB | Duration: 1h 5m
Learn the programming language that is future-proof



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Video TrainingUdemy - Algorithms & Data Structures Master Problem Solving





Udemy - Algorithms & Data Structures Master Problem Solving
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 715 MB | Duration: 2h 25m
Excel in your next job interview or college exam by using Python to code high performance and elegant algorithms.



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Video TrainingNick White - Data Structures and Algorithms for Coding Interviews





Nick White - Data Structures and Algorithms for Coding Interviews
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lessons (1h 56m) | Size: 1.28 GB
Algorithms and data structures are an essential part of the tech hiring process. In order to pass technical coding interview it's essential to understand the ins and out of data structures and algorithms and how to leverage them. Throughout this course, you'll learn the fundamentals of these topics in a fun and approachable way. After finishing this course you'll be well equipped to start tackling commonly asked interview questions as well as analyze your solutions' runtime and space complexities.



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