-
Data Structures and Algorithms in 15 Minutes
EDIT: Jomaclass promo is over. I reccomend the MIT lectures (free) down below. They are honestly the better resource out there IMO.
MIT Lectures: https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
► Patreon: https://www.patreon.com/trenblack
► Instagram: https://www.instagram.com/trenblack/
► Twitter: https://twitter.com/tren_black
► Merch: trenblack.com/merch
I wanted to try and give a general overview of Data structures and Algorithms. As someone who has a FAANG offer, I thought I'd jump start you guys into the coding interview scene with this video.
This video covers:
Arrays, linked lists, BFS (Breadth first search), DFS (depth first search), stack, queue, binary tree, bst, (binary search tree), binary search, graphs, topological sort, dijistkras,...
published: 10 Dec 2020
-
Data Structures Explained for Beginners - How I Wish I was Taught
Check out signNow API today - https://www.signnow.com/developers?utm_source=youtube&utm_medium=influencer&utm_campaign=signnow+api+internet+made+coder
⚡️ My Data Structures & Algorithms Course - https://academy.internetmadecoder.com/algo-uni
🚀 Zero to Python Developer with No Degree - https://academy.internetmadecoder.com/python-dev-masterclass?video=SFEROgwxicA
MY FREE CLASS:
🚀 How to Successfully Learn to Code and Become a Software Developer - A Step-by-Step Framework - https://skl.sh/3WvgSzZ
If I was a beginner, here's how I wish someone explained Data Structures to me so that I would ACTUALLy understand them.
Data structures and algorithms are not most people's favourite coding concepts to learn. nevertheless, if you want to learn how to pass coding interviews, mastering data stru...
published: 10 Sep 2022
-
Data Structures and Algorithms for Beginners
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!
🚀 Get interview-ready with my full course: https://mosh.link/dsa-course
👍 Subscribe for more awesome content: https://goo.gl/6PYaGF
Need Java foundations first? Check out my tutorial: https://youtu.be/eIrMbAQSU34
✋ Stay connected:
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/
💡 What you'll learn:
- Big O notation for analyzing code efficiency.
- How to implement and use arrays.
- The basics of linked lists.
👉 This tutorial is perfect for you if:
- You're preparing for te...
published: 10 Dec 2019
-
Algorithms and Data Structures Tutorial - Full Course for Beginners
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course: algorithms, data structures, and a deep dive into sorting and searching algorithms.
By the end, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve problems.
This course was developed by Pasan Premaratne and Jay McGavren. It was made possible by a grant from teamtreehouse.com
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to Algorithms
⌨️ (1:57:44) Introduction to Data Structures
⌨️ (4:11:02) Algorithms: Sorting and Searching
⭐️ Code Snippets for Course ⭐️
💻 Introduction to Algorithms:
⌨️ Algorithms in Code:
🔗 Linear Search Implementations: https://t...
published: 18 Mar 2021
-
Data Structures: Crash Course Computer Science #14
Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we walked through some sorting algorithms, but skipped over how the information actually got there in the first place! And it is this ability to store and access information in a structured and meaningful way that is crucial to programming. From strings, pointers, and nodes, to heaps, trees, and stacks get ready for an ARRAY of new terminology and concepts.
Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/
Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios
Want to know more about Carrie Anne?
https://about.me/carrieannephilbin
The Latest from PBS Digital...
published: 31 May 2017
-
ডাটা স্ট্রাকচার আর এলগরিদম এর কমপ্লিট গাইডলাইন || Data Structure and algorithm Tutorial || Learn DSA
#datastructures #algorithm #dsa
লংটার্মে ভালো একজন প্রোগ্রামার হতে হলে বেসিক কিছু ডাটা স্ট্রাকচার, এলগরিদম আর OOP কনসেপ্টগুলো তোমাকে শিখতেই হবে। একদম প্রথমে না শিখলেও পরে কোন না কোন এক সময় শিখে নিতেই হবে।
কোর্স লিংক: https://phitron.io/
প্রথমেই যে ৭ ধরণের ডাটা স্ট্রাকচার তোমাকে শিখতেই হবে:
১) Arrays.
২) Linked Lists
৩) Stack
৪) Queue
৫)Hash Tables বা Hash Map বা Dictionary:
৬) Tree:
৭) Graphs
------------
যে ৭ ধরনের এলগরিদম তোমাকে শিখতে হবে:
১) Searching Algorithms
২) Sorting Algorithms
৩) টাইম আর স্পেস কমপ্লেক্সিটি
৪) Divide and Conquer Algorithms এর মধ্যে বাইনারি সার্চ, মার্জ শর্ট অন্যতম।
৫) Dynamic programming (DP)
৬) Tree রিলেটেড এলগরিদম
৭) Graph রিলেটেড এলগরিদম
published: 18 Sep 2023
-
Introduction to Data Structures
Data Structures: The Introduction to Data Structures
Topics discussed:
1) What is Data?
2) The difference between Data and Information.
3) What is Data Structure?
4) Real-life examples of Data Structures.
C Programming Lectures: https://goo.gl/7Eh2SS
Follow Neso Academy on Instagram: @nesoacademy(https://bit.ly/2XP63OE)
Follow me on Instagram: @jaspreetedu(https://bit.ly/2YX26E5)
Contribute: http://www.nesoacademy.org/donate
Memberships: https://bit.ly/2U7YSPI
Books: http://www.nesoacademy.org/recommended-books
Website ► http://www.nesoacademy.org/
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Facebook ► https://goo.gl/Nt0PmB
Twitter ► https://twitter.com/nesoacademy
Music:
Axol x Alex Skrindo - You [NCS Release]
#DataStructuresByNeso #DataStructures
published: 30 Mar 2020
-
Everything you need to know about Heaps (Min Heap / Max Heap Data Structures)
FAANG Coding Interviews / Data Structures and Algorithms / Leetcode
published: 14 Mar 2024
-
Data Structures and Algorithms in Java | DSA Full Course CLASS 63 |Algorithms in java full course
Data Structures and Algorithms in Java | DSA Full Course In Telugu | DSA Course in Telugu
We Provide One to One Training In Java Full Stack development Training
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published: 24 Nov 2024
-
How I Mastered Data Structures and Algorithms
Subscribe to my free newsletter: https://blog.algomaster.io/
Subscribe to my tutorial channel: https://www.youtube.com/@algomaster-io
In this video, I share How I mastered Data Structures and Algorithms which helped me clear coding interviews at multiple big tech companies. I also share a strategy to revise LeetCode problems effectively.
Resources mentioned in the video: https://blog.algomaster.io/p/368a3274-10b7-451b-bd9e-91c45a2164d7
Get a FREE System Design Interview Handbook (75 pages) in your inbox by subscribing to my free newsletter: https://blog.algomaster.io/
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📹 My t...
published: 07 Jul 2024
16:19
Data Structures and Algorithms in 15 Minutes
EDIT: Jomaclass promo is over. I reccomend the MIT lectures (free) down below. They are honestly the better resource out there IMO.
MIT Lectures: https://www.y...
EDIT: Jomaclass promo is over. I reccomend the MIT lectures (free) down below. They are honestly the better resource out there IMO.
MIT Lectures: https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
► Patreon: https://www.patreon.com/trenblack
► Instagram: https://www.instagram.com/trenblack/
► Twitter: https://twitter.com/tren_black
► Merch: trenblack.com/merch
I wanted to try and give a general overview of Data structures and Algorithms. As someone who has a FAANG offer, I thought I'd jump start you guys into the coding interview scene with this video.
This video covers:
Arrays, linked lists, BFS (Breadth first search), DFS (depth first search), stack, queue, binary tree, bst, (binary search tree), binary search, graphs, topological sort, dijistkras, heaps, hash maps, collision, merge sort, divide and conquer, selection sort
#faang #coding #algorithms
https://wn.com/Data_Structures_And_Algorithms_In_15_Minutes
EDIT: Jomaclass promo is over. I reccomend the MIT lectures (free) down below. They are honestly the better resource out there IMO.
MIT Lectures: https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
► Patreon: https://www.patreon.com/trenblack
► Instagram: https://www.instagram.com/trenblack/
► Twitter: https://twitter.com/tren_black
► Merch: trenblack.com/merch
I wanted to try and give a general overview of Data structures and Algorithms. As someone who has a FAANG offer, I thought I'd jump start you guys into the coding interview scene with this video.
This video covers:
Arrays, linked lists, BFS (Breadth first search), DFS (depth first search), stack, queue, binary tree, bst, (binary search tree), binary search, graphs, topological sort, dijistkras, heaps, hash maps, collision, merge sort, divide and conquer, selection sort
#faang #coding #algorithms
- published: 10 Dec 2020
- views: 1114831
17:06
Data Structures Explained for Beginners - How I Wish I was Taught
Check out signNow API today - https://www.signnow.com/developers?utm_source=youtube&utm_medium=influencer&utm_campaign=signnow+api+internet+made+coder
⚡️ My Da...
Check out signNow API today - https://www.signnow.com/developers?utm_source=youtube&utm_medium=influencer&utm_campaign=signnow+api+internet+made+coder
⚡️ My Data Structures & Algorithms Course - https://academy.internetmadecoder.com/algo-uni
🚀 Zero to Python Developer with No Degree - https://academy.internetmadecoder.com/python-dev-masterclass?video=SFEROgwxicA
MY FREE CLASS:
🚀 How to Successfully Learn to Code and Become a Software Developer - A Step-by-Step Framework - https://skl.sh/3WvgSzZ
If I was a beginner, here's how I wish someone explained Data Structures to me so that I would ACTUALLy understand them.
Data structures and algorithms are not most people's favourite coding concepts to learn. nevertheless, if you want to learn how to pass coding interviews, mastering data structures and algorithms is a must.
From linked lists to priority queues to graphs...when I was a beginner, I could not understand why these things are even important. What do data structures even mean and why do big tech companies ask these stupid leetcode-style questions in coding interviews?
But once I actually sat down and over a few months learned the theory and practice of data structures, I started to appreciate just how beautiful computer science can be.
In this video, I explain data structures for dummies and (hopefully) in a future video, I will explain algorithms in a similar way!
CHAPTERS:
0:00 How I Learned to appreciate data structures
1:50 What are data structures & why are they important?
3:20 How computer memory works (Lists & Arrays)
6:00 Complex data structures (Linked Lists)
8:10 Why do we have different data structures?
10:11 SPONSOR: signNow API
11:35 A real-world example (Priority Queues)
14:30 The beauty of Computer Science
15:40 What you should do next (step-by-step path)
DISCLAIMER: some of the links in the description may be affiliate links. If you purchase a product or service using the links that I provide I may receive a small commission. This is no extra charge to you! Thanks for supporting Internet Made Coder :)
WHO AM I?
On this channel, my aim is to give you the tools, strategies and methods to learn to code effectively - according to science! In addition, I document my life as a self-taught software engineer.
https://wn.com/Data_Structures_Explained_For_Beginners_How_I_Wish_I_Was_Taught
Check out signNow API today - https://www.signnow.com/developers?utm_source=youtube&utm_medium=influencer&utm_campaign=signnow+api+internet+made+coder
⚡️ My Data Structures & Algorithms Course - https://academy.internetmadecoder.com/algo-uni
🚀 Zero to Python Developer with No Degree - https://academy.internetmadecoder.com/python-dev-masterclass?video=SFEROgwxicA
MY FREE CLASS:
🚀 How to Successfully Learn to Code and Become a Software Developer - A Step-by-Step Framework - https://skl.sh/3WvgSzZ
If I was a beginner, here's how I wish someone explained Data Structures to me so that I would ACTUALLy understand them.
Data structures and algorithms are not most people's favourite coding concepts to learn. nevertheless, if you want to learn how to pass coding interviews, mastering data structures and algorithms is a must.
From linked lists to priority queues to graphs...when I was a beginner, I could not understand why these things are even important. What do data structures even mean and why do big tech companies ask these stupid leetcode-style questions in coding interviews?
But once I actually sat down and over a few months learned the theory and practice of data structures, I started to appreciate just how beautiful computer science can be.
In this video, I explain data structures for dummies and (hopefully) in a future video, I will explain algorithms in a similar way!
CHAPTERS:
0:00 How I Learned to appreciate data structures
1:50 What are data structures & why are they important?
3:20 How computer memory works (Lists & Arrays)
6:00 Complex data structures (Linked Lists)
8:10 Why do we have different data structures?
10:11 SPONSOR: signNow API
11:35 A real-world example (Priority Queues)
14:30 The beauty of Computer Science
15:40 What you should do next (step-by-step path)
DISCLAIMER: some of the links in the description may be affiliate links. If you purchase a product or service using the links that I provide I may receive a small commission. This is no extra charge to you! Thanks for supporting Internet Made Coder :)
WHO AM I?
On this channel, my aim is to give you the tools, strategies and methods to learn to code effectively - according to science! In addition, I document my life as a self-taught software engineer.
- published: 10 Sep 2022
- views: 598965
1:18:43
Data Structures and Algorithms for Beginners
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!
🚀 Get interview...
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!
🚀 Get interview-ready with my full course: https://mosh.link/dsa-course
👍 Subscribe for more awesome content: https://goo.gl/6PYaGF
Need Java foundations first? Check out my tutorial: https://youtu.be/eIrMbAQSU34
✋ Stay connected:
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/
💡 What you'll learn:
- Big O notation for analyzing code efficiency.
- How to implement and use arrays.
- The basics of linked lists.
👉 This tutorial is perfect for you if:
- You're preparing for technical job interviews.
- You want to improve your coding fundamentals.
- You're a CS student learning these concepts.
Let's get started!
📖 TABLE OF CONTENT
0:00:00 Intro
0:01:04 What is Big O?
0:03:03 O(1)
0:04:32 O(n)
0:08:17 O(n^2)
0:10:41 O(log n)
0:13:20 O(2^n)
0:14:10 Space Complexity
0:17:53 Understanding Arrays
0:21:03 Working with Arrays
0:24:32 Exercise: Building an Array
0:27:24 Solution: Creating the Array Class
0:30:43 Solution: insert()
0:35:03 Solution: remove()
0:39:54 Solution: indexOf()
0:42:23 Dynamic Arrays
0:46:11 Linked Lists Introduction
0:46:41 What are Linked Lists?
0:51:16 Working with Linked Lists
0:54:40 Exercise: Building a Linked List
0:56:05 Solution: addLast()
1:02:15 Solution: addFirst()
1:04:28 Solution: indexOf()
1:06:23 Solution: contains()
1:07:28 Solution: removeFirst()
1:11:52 Solution: removeLast()
#ComputerScience #Coding #Programming
https://wn.com/Data_Structures_And_Algorithms_For_Beginners
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!
🚀 Get interview-ready with my full course: https://mosh.link/dsa-course
👍 Subscribe for more awesome content: https://goo.gl/6PYaGF
Need Java foundations first? Check out my tutorial: https://youtu.be/eIrMbAQSU34
✋ Stay connected:
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/
💡 What you'll learn:
- Big O notation for analyzing code efficiency.
- How to implement and use arrays.
- The basics of linked lists.
👉 This tutorial is perfect for you if:
- You're preparing for technical job interviews.
- You want to improve your coding fundamentals.
- You're a CS student learning these concepts.
Let's get started!
📖 TABLE OF CONTENT
0:00:00 Intro
0:01:04 What is Big O?
0:03:03 O(1)
0:04:32 O(n)
0:08:17 O(n^2)
0:10:41 O(log n)
0:13:20 O(2^n)
0:14:10 Space Complexity
0:17:53 Understanding Arrays
0:21:03 Working with Arrays
0:24:32 Exercise: Building an Array
0:27:24 Solution: Creating the Array Class
0:30:43 Solution: insert()
0:35:03 Solution: remove()
0:39:54 Solution: indexOf()
0:42:23 Dynamic Arrays
0:46:11 Linked Lists Introduction
0:46:41 What are Linked Lists?
0:51:16 Working with Linked Lists
0:54:40 Exercise: Building a Linked List
0:56:05 Solution: addLast()
1:02:15 Solution: addFirst()
1:04:28 Solution: indexOf()
1:06:23 Solution: contains()
1:07:28 Solution: removeFirst()
1:11:52 Solution: removeLast()
#ComputerScience #Coding #Programming
- published: 10 Dec 2019
- views: 1864642
5:22:09
Algorithms and Data Structures Tutorial - Full Course for Beginners
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course...
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course: algorithms, data structures, and a deep dive into sorting and searching algorithms.
By the end, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve problems.
This course was developed by Pasan Premaratne and Jay McGavren. It was made possible by a grant from teamtreehouse.com
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to Algorithms
⌨️ (1:57:44) Introduction to Data Structures
⌨️ (4:11:02) Algorithms: Sorting and Searching
⭐️ Code Snippets for Course ⭐️
💻 Introduction to Algorithms:
⌨️ Algorithms in Code:
🔗 Linear Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/linear-search-implementations
🔗 Binary Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/binary-search-implementations
💻 Introduction to Data Structures
⌨️ Exploring Arrays:
🔗 Array Characteristics and Storage: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/array-characteristics-and-storage
🔗 Operations on Arrays: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/operations-on-arrays
⌨️ Building a Linked List:
🔗 Singly and Doubly Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/singly-and-doubly-linked-lists-2
🔗 Linked List Operations: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/linked-lists-operations
⌨️ The Merge Sort Algorithm:
🔗 Merge Sort Implementations: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/merge-sort-implementations
🔗 Alternate Versions of Merge Sort: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/alternate-versions-of-merge-sort
⌨️ Merge Sort and Linked Lists:
🔗 Implementing Merge Sort on Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/merge-sort-and-linked-lists/implementing-merge-sort-on-linked-lists
💻 Algorithms: Sorting and Searching
⌨️ Sorting Algorithms:
🔗 Code for Bogosort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-bogosort
🔗 Code for Selection Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-selection-sort
🔗 Code for Quicksort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-quicksort
🔗 Code for Merge Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-merge-sort
⌨️ Searching Names:
🔗 Code for Linear Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-linear-search
🔗 Code for Binary Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-binary-search
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
https://wn.com/Algorithms_And_Data_Structures_Tutorial_Full_Course_For_Beginners
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course: algorithms, data structures, and a deep dive into sorting and searching algorithms.
By the end, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve problems.
This course was developed by Pasan Premaratne and Jay McGavren. It was made possible by a grant from teamtreehouse.com
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to Algorithms
⌨️ (1:57:44) Introduction to Data Structures
⌨️ (4:11:02) Algorithms: Sorting and Searching
⭐️ Code Snippets for Course ⭐️
💻 Introduction to Algorithms:
⌨️ Algorithms in Code:
🔗 Linear Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/linear-search-implementations
🔗 Binary Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/binary-search-implementations
💻 Introduction to Data Structures
⌨️ Exploring Arrays:
🔗 Array Characteristics and Storage: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/array-characteristics-and-storage
🔗 Operations on Arrays: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/operations-on-arrays
⌨️ Building a Linked List:
🔗 Singly and Doubly Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/singly-and-doubly-linked-lists-2
🔗 Linked List Operations: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/linked-lists-operations
⌨️ The Merge Sort Algorithm:
🔗 Merge Sort Implementations: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/merge-sort-implementations
🔗 Alternate Versions of Merge Sort: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/alternate-versions-of-merge-sort
⌨️ Merge Sort and Linked Lists:
🔗 Implementing Merge Sort on Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/merge-sort-and-linked-lists/implementing-merge-sort-on-linked-lists
💻 Algorithms: Sorting and Searching
⌨️ Sorting Algorithms:
🔗 Code for Bogosort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-bogosort
🔗 Code for Selection Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-selection-sort
🔗 Code for Quicksort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-quicksort
🔗 Code for Merge Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-merge-sort
⌨️ Searching Names:
🔗 Code for Linear Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-linear-search
🔗 Code for Binary Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-binary-search
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
- published: 18 Mar 2021
- views: 4827787
10:07
Data Structures: Crash Course Computer Science #14
Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we walked through some sorting algorithms, bu...
Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we walked through some sorting algorithms, but skipped over how the information actually got there in the first place! And it is this ability to store and access information in a structured and meaningful way that is crucial to programming. From strings, pointers, and nodes, to heaps, trees, and stacks get ready for an ARRAY of new terminology and concepts.
Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/
Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios
Want to know more about Carrie Anne?
https://about.me/carrieannephilbin
The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV
Want to find Crash Course elsewhere on the internet?
Facebook - https://www.facebook.com/YouTubeCrash...
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids
https://wn.com/Data_Structures_Crash_Course_Computer_Science_14
Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we walked through some sorting algorithms, but skipped over how the information actually got there in the first place! And it is this ability to store and access information in a structured and meaningful way that is crucial to programming. From strings, pointers, and nodes, to heaps, trees, and stacks get ready for an ARRAY of new terminology and concepts.
Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/
Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios
Want to know more about Carrie Anne?
https://about.me/carrieannephilbin
The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV
Want to find Crash Course elsewhere on the internet?
Facebook - https://www.facebook.com/YouTubeCrash...
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids
- published: 31 May 2017
- views: 1021108
13:11
ডাটা স্ট্রাকচার আর এলগরিদম এর কমপ্লিট গাইডলাইন || Data Structure and algorithm Tutorial || Learn DSA
#datastructures #algorithm #dsa
লংটার্মে ভালো একজন প্রোগ্রামার হতে হলে বেসিক কিছু ডাটা স্ট্রাকচার, এলগরিদম আর OOP কনসেপ্টগুলো তোমাকে শিখতেই হবে। একদম প্রথমে না...
#datastructures #algorithm #dsa
লংটার্মে ভালো একজন প্রোগ্রামার হতে হলে বেসিক কিছু ডাটা স্ট্রাকচার, এলগরিদম আর OOP কনসেপ্টগুলো তোমাকে শিখতেই হবে। একদম প্রথমে না শিখলেও পরে কোন না কোন এক সময় শিখে নিতেই হবে।
কোর্স লিংক: https://phitron.io/
প্রথমেই যে ৭ ধরণের ডাটা স্ট্রাকচার তোমাকে শিখতেই হবে:
১) Arrays.
২) Linked Lists
৩) Stack
৪) Queue
৫)Hash Tables বা Hash Map বা Dictionary:
৬) Tree:
৭) Graphs
------------
যে ৭ ধরনের এলগরিদম তোমাকে শিখতে হবে:
১) Searching Algorithms
২) Sorting Algorithms
৩) টাইম আর স্পেস কমপ্লেক্সিটি
৪) Divide and Conquer Algorithms এর মধ্যে বাইনারি সার্চ, মার্জ শর্ট অন্যতম।
৫) Dynamic programming (DP)
৬) Tree রিলেটেড এলগরিদম
৭) Graph রিলেটেড এলগরিদম
https://wn.com/ডাটা_স্ট্রাকচার_আর_এলগরিদম_এর_কমপ্লিট_গাইডলাইন_||_Data_Structure_And_Algorithm_Tutorial_||_Learn_Dsa
#datastructures #algorithm #dsa
লংটার্মে ভালো একজন প্রোগ্রামার হতে হলে বেসিক কিছু ডাটা স্ট্রাকচার, এলগরিদম আর OOP কনসেপ্টগুলো তোমাকে শিখতেই হবে। একদম প্রথমে না শিখলেও পরে কোন না কোন এক সময় শিখে নিতেই হবে।
কোর্স লিংক: https://phitron.io/
প্রথমেই যে ৭ ধরণের ডাটা স্ট্রাকচার তোমাকে শিখতেই হবে:
১) Arrays.
২) Linked Lists
৩) Stack
৪) Queue
৫)Hash Tables বা Hash Map বা Dictionary:
৬) Tree:
৭) Graphs
------------
যে ৭ ধরনের এলগরিদম তোমাকে শিখতে হবে:
১) Searching Algorithms
২) Sorting Algorithms
৩) টাইম আর স্পেস কমপ্লেক্সিটি
৪) Divide and Conquer Algorithms এর মধ্যে বাইনারি সার্চ, মার্জ শর্ট অন্যতম।
৫) Dynamic programming (DP)
৬) Tree রিলেটেড এলগরিদম
৭) Graph রিলেটেড এলগরিদম
- published: 18 Sep 2023
- views: 60137
11:18
Introduction to Data Structures
Data Structures: The Introduction to Data Structures
Topics discussed:
1) What is Data?
2) The difference between Data and Information.
3) What is Data Structur...
Data Structures: The Introduction to Data Structures
Topics discussed:
1) What is Data?
2) The difference between Data and Information.
3) What is Data Structure?
4) Real-life examples of Data Structures.
C Programming Lectures: https://goo.gl/7Eh2SS
Follow Neso Academy on Instagram: @nesoacademy(https://bit.ly/2XP63OE)
Follow me on Instagram: @jaspreetedu(https://bit.ly/2YX26E5)
Contribute: http://www.nesoacademy.org/donate
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Music:
Axol x Alex Skrindo - You [NCS Release]
#DataStructuresByNeso #DataStructures
https://wn.com/Introduction_To_Data_Structures
Data Structures: The Introduction to Data Structures
Topics discussed:
1) What is Data?
2) The difference between Data and Information.
3) What is Data Structure?
4) Real-life examples of Data Structures.
C Programming Lectures: https://goo.gl/7Eh2SS
Follow Neso Academy on Instagram: @nesoacademy(https://bit.ly/2XP63OE)
Follow me on Instagram: @jaspreetedu(https://bit.ly/2YX26E5)
Contribute: http://www.nesoacademy.org/donate
Memberships: https://bit.ly/2U7YSPI
Books: http://www.nesoacademy.org/recommended-books
Website ► http://www.nesoacademy.org/
Forum ► http://forum.nesoacademy.org/
Facebook ► https://goo.gl/Nt0PmB
Twitter ► https://twitter.com/nesoacademy
Music:
Axol x Alex Skrindo - You [NCS Release]
#DataStructuresByNeso #DataStructures
- published: 30 Mar 2020
- views: 1578456
26:58
Data Structures and Algorithms in Java | DSA Full Course CLASS 63 |Algorithms in java full course
Data Structures and Algorithms in Java | DSA Full Course In Telugu | DSA Course in Telugu
We Provide One to One Training In Java Full Stack development Training...
Data Structures and Algorithms in Java | DSA Full Course In Telugu | DSA Course in Telugu
We Provide One to One Training In Java Full Stack development Training
✅ Java FullStack
✅ Web Technoigital Marketing
✅ Graphic Designing
✅ Programming
📲 For inquiries, call us at:
+91 9550051857
Website : https://skillsetacdemy.co.in
https://wn.com/Data_Structures_And_Algorithms_In_Java_|_Dsa_Full_Course_Class_63_|Algorithms_In_Java_Full_Course
Data Structures and Algorithms in Java | DSA Full Course In Telugu | DSA Course in Telugu
We Provide One to One Training In Java Full Stack development Training
✅ Java FullStack
✅ Web Technoigital Marketing
✅ Graphic Designing
✅ Programming
📲 For inquiries, call us at:
+91 9550051857
Website : https://skillsetacdemy.co.in
- published: 24 Nov 2024
- views: 127
10:45
How I Mastered Data Structures and Algorithms
Subscribe to my free newsletter: https://blog.algomaster.io/
Subscribe to my tutorial channel: https://www.youtube.com/@algomaster-io
In this video, I share Ho...
Subscribe to my free newsletter: https://blog.algomaster.io/
Subscribe to my tutorial channel: https://www.youtube.com/@algomaster-io
In this video, I share How I mastered Data Structures and Algorithms which helped me clear coding interviews at multiple big tech companies. I also share a strategy to revise LeetCode problems effectively.
Resources mentioned in the video: https://blog.algomaster.io/p/368a3274-10b7-451b-bd9e-91c45a2164d7
Get a FREE System Design Interview Handbook (75 pages) in your inbox by subscribing to my free newsletter: https://blog.algomaster.io/
📣
Get 40% off CodeCrafters: https://ashishps.com/codecrafters
Get maximum discount on Educative: https://ashishps.com/educative
🎥 Subscribe to my channel for more such content: https://www.youtube.com/@ashishps_1/
📹 My tutorial channel: https://www.youtube.com/@algomaster-io
💻 My Github repositories for tech interview preparation: https://github.com/ashishps1
Stay in touch:
✍️ Medium: https://medium.com/@ashishps
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📷 Instagram: https://www.instagram.com/ashishps_1/
Interested in sponsoring my channel? Learn more and book me here: https://www.passionfroot.me/ashishps
Chapters:
00:00 - Intro
00:38 - Must-Know DSA Topics
02:24 - Right Order to Learn DSA Topics
03:05 - How to Start a new Topic?
05:32 - Resources to Learn DSA
05:59 - How to Master a DSA Topic?
07:30 - Think in Patterns
08:36 - How to Retain what you have Learned?
10:09 - Be Consistent
https://wn.com/How_I_Mastered_Data_Structures_And_Algorithms
Subscribe to my free newsletter: https://blog.algomaster.io/
Subscribe to my tutorial channel: https://www.youtube.com/@algomaster-io
In this video, I share How I mastered Data Structures and Algorithms which helped me clear coding interviews at multiple big tech companies. I also share a strategy to revise LeetCode problems effectively.
Resources mentioned in the video: https://blog.algomaster.io/p/368a3274-10b7-451b-bd9e-91c45a2164d7
Get a FREE System Design Interview Handbook (75 pages) in your inbox by subscribing to my free newsletter: https://blog.algomaster.io/
📣
Get 40% off CodeCrafters: https://ashishps.com/codecrafters
Get maximum discount on Educative: https://ashishps.com/educative
🎥 Subscribe to my channel for more such content: https://www.youtube.com/@ashishps_1/
📹 My tutorial channel: https://www.youtube.com/@algomaster-io
💻 My Github repositories for tech interview preparation: https://github.com/ashishps1
Stay in touch:
✍️ Medium: https://medium.com/@ashishps
👨💻 LinkedIn https://www.linkedin.com/in/ashishps1/
🚀 X: https://twitter.com/ashishps_1
📷 Instagram: https://www.instagram.com/ashishps_1/
Interested in sponsoring my channel? Learn more and book me here: https://www.passionfroot.me/ashishps
Chapters:
00:00 - Intro
00:38 - Must-Know DSA Topics
02:24 - Right Order to Learn DSA Topics
03:05 - How to Start a new Topic?
05:32 - Resources to Learn DSA
05:59 - How to Master a DSA Topic?
07:30 - Think in Patterns
08:36 - How to Retain what you have Learned?
10:09 - Be Consistent
- published: 07 Jul 2024
- views: 250873