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🤍DRONECODERSCAMP.COM is teaching kids & teens how to #Build #Code & #Fly #DRONES this summer and fall #2022! Get your child interested in learning STEAM Education in a fun way; by learning with DRONES! Drone Coders Camp is a 6 week online course that gives youth the opportunity to explore STEAM education in a fun way using Game Based Learning & Project Based Learning exercises. Our online course is packed with 7 Episodes that will teach your child to build, code, and fly drones in a fun way. Learn about Drone Pilot and other STEAM Careers, learn how to put a Growth Mindset to the test, make friends on our social learning platform, and more. Drone Coders Camp is Recommended for Upper Elementary, Middle School, and High School Students. Visit dronecoderscamp.com for more info to book a call with Ms. Nubian about our next session. NEW SESSIONS START FALL SEPTEMBER 2022!
How I became a self-taught Software Engineer & How I learned to code from completely zero without a Computer Science degree or Bootcamp! ⚡️ Apply for 1-on-1 Coaching with me - 🤍 🚀 Become a Real Python Developer - 🤍 MY FREE CLASS: 🚀 How to Successfully Learn to Code and Become a Software Developer - A Step-by-Step Framework - 🤍 📸 FOLLOW ME ON INSTAGRAM - 🤍 BEST ONLINE CODING IDE - 🤍 RESOURCES MENTIONED PYTHON FOR EVERYBODY - 🤍 CS50 - 🤍 ODIN PROJECT - 🤍 CS50 WEB - 🤍 🧠 Sign Up to my Newsletter to get my Free Online Computer Science Degree Template - 🤍 OTHER STUDY & CODING RESOURCES 💰 BEST COURSES TO LEARN TO CODE FROM ZERO & GET A JOB. Use Code FRIENDS10 for 10% off - 🤍 ➕ BEST COURSE TO LEARN DATA STRUCTURES AND ALGORITHMS - 🤍 📗 BEST BOOK TO PASS CODING INTERVIEWS - 🤍 MY BLOG 📗 JOIN MEDIUM TO ACCESS MY BLOG CONTENT - 🤍 OTHER VIDEOS 💻 How I Learned to Code in 4 MONTHS - & Got a Software Engineer Job (no CS Degree) - 🤍 ⌨️ How I'm Teaching Myself Computer Science using Notion (OSSU) - 🤍 🖱 CS50 FULL REVIEW - Best Course to Learn Computer Science in 2022? (edX, Harvard) - 🤍 Chapters: 0:00 intro 0:21 Why I quit Economics for CS 1:30 Step 1 2:05 Step 2 4:09 Step 3 5:24 How long will it take? 5:50 Will you ever learn to code..? 6:38 You need to do THIS 7:40 How I got a job Just a few months ago, I had no idea what coding even was. All I knew was that it had something to do with typing complicated stuff on a computer. I got the idea of learning how to code after I graduated with an Economics Degree from a university in London. Economics is a highly valued degree, most people who do it in top universities like mine become investment bankers and stuff like that. I did an internship at a big bank too, but I hated it. So I started looking into what career path could give me a lot of money, and also a great work-life balance. So I discovered, software engineering. I learned that to become a software engineer, all you really need is to know how to code. So I typed on Google, how to learn to code, and I ended up starting with Python for Everybody and the Odin Project, these are both free resources, the former introduced me to one of the most popular programming languages of today, Python, and the latter familiarized me with the basics of Web Development using HTML, CSS and Javascript. At this point my goal was just to get a vague sense of the vast world of programming, to start understanding what was out there, how the different pieces like front-end and backend development fit together and what they mean at a high level. Going through the Odin Project I got a basic sense for many interesting topics such as how the internet works and what it actually means to open a web page on your browser. I will also tell you how I got my first job in tech as a Software Engineer.. 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 :) Tags: how to learn programming, how to learn to code, learn to code, coding, programming, software engineer, software engineering, software development, self taught programmer, tech, career in tech, techcareer, data science, how to become a software engineer, self-taught software developer, no cs degree, frontend developer, learn computer science, online, learn faster, no college, ossu, open-source computer science degree, programmer
This video show complete demo of, 1. How to create test requests and collections 2. How to create environment variable and global variables 3. How to use the variables in another request 4. How to read Json respoonse via code 5. How to run collections and create monitors Link to blog: 🤍 to install postman : 🤍 to read json response via test script: 🤍 to create collections and test requests:🤍 to work with parameters and variables: 🤍 to run collections and create monitors: 🤍 #postman #testingInterview #apitesting #testautomation
visit dronecoderscamp.com or nubiansteamadventures.org for more info
This video series help us to learn the logic of binary search and the problems that can be solved using the same logic. In this video, you can learn how binary search works?, what is the time and space complexity of binary search and the pattern of binary search code. Binary Search Series: How binary search works? 🤍 Capacity to Ship Packages Within D days: 🤍 Split Array Largest Sum: 🤍 Koko Eating Bananas: 🤍 Minimum Number of Days to make M bouquets: 🤍 #LeetCode #codinginterview #whiteboardexplanaion #binarysearch #coderscamp
Learn the Python programming language in this full course for beginners! You will learn the fundamentals of Python and code two Python programs line-by-line. No previous programming experience is necessary before watching this course. 🔗 Start using Replit: 🤍 ✏️ Beau Carnes developed this course. Check out one of his other channels: 🤍 💻 Rock, Paper, Scissors Code: 🤍 💻 Blackjack Code: 🤍 🏗 Replit provided a grant that made this course possible. 🔗 The Python Handbook by Flavio Copes: 🤍 ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction Rock, Paper, Scissors Intro Project ⌨️ (0:03:11) RPS - Variables and Functions ⌨️ (0:09:07) RPS - Calling Functions ⌨️ (0:12:31) RPS - Dictionaries ⌨️ (0:15:28) RPS - User Input ⌨️ (0:16:55) RPS - Libraries, Lists, Methods ⌨️ (0:20:45) RPS - Function Arguments ⌨️ (0:22:33) RPS - If Statements ⌨️ (0:25:40) RPS - Concatenating Strings ⌨️ (0:27:13) RPS - f-strings ⌨️ (0:30:26) RPS - Else and Elif Statements ⌨️ (0:33:37) RPS - Refactoring and Nested If ⌨️ (0:38:37) RPS - Accessing Dictionary Values ⌨️ (0:41:55) RPS - Testing Game Fundamentals of Python ⌨️ (0:43:52) Setup Python Locally ⌨️ (0:47:47) Creating New Repl ⌨️ (0:48:45) Variables ⌨️ (0:51:21) Expressions and Statements ⌨️ (0:52:38) Comments ⌨️ (0:54:23) Data Types ⌨️ (1:00:16) Operators ⌨️ (1:00:44) Arithmetic Operators ⌨️ (1:03:52) Comparison Operators ⌨️ (1:05:13) Boolean Operators ⌨️ (1:07:26) Bitwise Operators ⌨️ (1:07:42) is & in Operators ⌨️ (1:08:21) Ternary Operator ⌨️ (1:09:40) Strings ⌨️ (1:12:36) String Methods ⌨️ (1:16:41) Escaping Characters ⌨️ (1:19:23) String Characters & Slicing ⌨️ (1:21:45) Booleans ⌨️ (1:26:07) Number Data Types ⌨️ (1:28:19) Built-in Functions ⌨️ (1:29:50) Enums ⌨️ (1:32:51) User Input ⌨️ (1:34:39) Control Statements ⌨️ (1:36:48) Lists ⌨️ (1:46:21) Sorting Lists ⌨️ (1:49:57) Tuples ⌨️ (1:53:49) Dictionaries ⌨️ (2:01:45) Sets ⌨️ (2:06:10) Functions ⌨️ (2:16:57) Variable Scope ⌨️ (2:18:35) Nested Functions ⌨️ (2:21:37) Closures ⌨️ (2:22:59) Objects ⌨️ (2:26:27) Loops ⌨️ (2:32:01) Break and Continue ⌨️ (2:33:02) Classes ⌨️ (2:39:12) Modules ⌨️ (2:45:55) Arguments from Command Line ⌨️ (2:52:42) Lambda Functions ⌨️ (2:54:51) Map, Filter, Reduce ⌨️ (3:02:41) Recursion ⌨️ (3:04:42) Decorators ⌨️ (3:06:45) Docstrings ⌨️ (3:09:54) Annotations ⌨️ (3:11:30) Exceptions ⌨️ (3:17:09) With ⌨️ (3:18:26) Installing Packages with pip ⌨️ (3:21:39) List Compression ⌨️ (3:23:09) Polymorphism ⌨️ (3:24:23) Operator Overloading Blackjack Card Game Project ⌨️ (3:26:58) Blackjack - Beginning ⌨️ (3:50:13) Blackjack - Deck Class ⌨️ (3:58:45) Blackjack - Card Class ⌨️ (4:03:25) Blackjack - Hand Class ⌨️ (4:21:13) Blackjack - Game Class ⌨️ (4:37:04) Blackjack - Testing ⌨️ (4:39:36) Conclusion Learn to code for free and get a developer job: 🤍 Read hundreds of articles on programming: 🤍
This video series help us to learn Web automation using cypress. In this video we have covered, 1. What is cypress? 2. Why cypress? 3. How cypress is different from other technologies? 4. Web browsers supported by cypress. 5. Limitations of cypress. Myblog: 🤍 #Cypressautomation #cypress #webautomation
I have planned to start a video series on Recursion. By end of this series one can learn How to approach a given problem in recursive way and come up with a solution. This video explains what is recursion, how recursion works, what is call stack, what is base condition and what is recurrence relation. #Recursion #howrecursionworks #recursionforbeginner #learnrecursion #recursionseries #codinginterview #whiteboardexplanation #coderscamp
Our senior campers created and coded their own stories using Scratch! Check out some of their creations!
This video series helps to learn web automation using cypress. This video shows the complete demo of installation of cypress in your system. Steps: 1. Installing Node JS 2. Setting Environment variable and system variable 3. Create package.json 4. Install cypress and open Blog link: 🤍 #coderscamp #cypressautomation #cypressautomationcrashcourse #webautomation
O(n) Linear time complexity explained in 20 secs. #Shorts #shorts
Link to Problem: 🤍 Code: 🤍 Categories of algorithm: 🤍 #LeetCode #coderscamp #backtracking #combinationsum #whiteboardexplanation #technicalinterview #codinginterview
Link to Problem: 🤍 Code: 🤍 Reverse Linked List II: 🤍 Merge K sorted Lists: 🤍 #LeetCode #coderscamp #codinginterview #whiteboardexplanation
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Code:🤍 Link to Problem: 🤍 This video explains the solution for "Valid Number" in O(n) time complexity. Hope you enjoyed this walkthrough! If you like the video, hit like, subscribe and leave a comment. #LeetCode #coderscamp #codinginterview #whiteboardexplanation #validnumber
Link to Problem: 🤍 Code: 🤍 TimeStamps: 0:00 - Intro 0:29 - Explaining Problem statement 2:25 - Concept & Approach 6:55 - Code This video explains the solution for "Furthest Building you can reach" using Heap in O(n log n) solution.
Code: 🤍 Link to Problem: 🤍 This video discuss two different solution for the problem "Valid Anagram". 1. Sorting O(nlogn) 2. HashTable O(n) #LeetCode #codinginterview #whiteboardexplanation #coderscamp #validanagram
Link to problem: 🤍 Code: 🤍 This video solves the problem "Jump Game III" using recursive DFS algorithm with O(n) time and space. #LeetCode #Technicalinterview #coderscamp #whiteboardexplantion
Link to Problem: 🤍 Code : 🤍 Time: 0:00 - Explaining the problem 1:13 - Exploring the concept 3:22 - Explaining dp solution 5:48 - Time & space complexities 6:10 - Code This video explains the solution for the problem "House Robber" using dynamic programming technique in O(n) time and space complexities #leetcode #coderscamp #codinginterview #whiteboardexplanation
Code: 🤍 Link to Problem: 🤍 This Video explains the solution for the problem "Palindromic Substrings" in O(n^2) time complexity.
Link to Problem: 🤍 Code: 🤍 Timestamp: 0:00 - Intro 1:12 - Explaining the problem & brute force 3:22 - Optimal Approach 6:09 - Implementation 8:01 - Code #LeetCode #coderscamp #whiteboardexplanation #codinginterview #hashmap #kdiffpairsinanarray
Code: 🤍 Link to Problem: 🤍 #Leetcode #coderscamp #codinginterview #whiteboardexplanation
0/1 KnapsackProblem link: 🤍 Link to Problem: 🤍 Code: 🤍 This video explains the solution to the problem "Partition Equal Subset Sum" using Subset Sum logic in O(N*W) time complexity. #LeetCode #coderscamp #codinginterview #technicalinterview #whiteboardexplanation
Code: 🤍 Link to Problem: 🤍 This video explains the solution for backtracking problem "N-Queens" in O(n^2 * n!) time. #LeetCode #coderscamp #codinginterview #whiteboardexplanation #nqueens #backtrack #recursivebacktrack #recursion
Link to Problem: 🤍 Code: 🤍 #LeetCode #Coderscamp #codinginterview #whiteboardexplanation
Code: 🤍 Link to Problem: 🤍 This video explains the solution for the problem "Generate Parentheses" using backtracking. #LeetCode #codinginterview #coderscamp #whiteboardexplanation
Link to problem: 🤍 Code: 🤍 This video explains the solution for the problem "Max Area of Island" using Breadth first search. #LeetCode #coderscamp #codinginterview #whiteboardexplanation #bfs
Hello Everyone. As my article on "How quick sort works and the problem that can be solved using partition login" in LeetCode has got good response, I planned to do a series of videos on the same. This video explains how quick sort works, Time complexities of best and worst case of quick sort and where to apply this logic. Upcoming videos will solve problems using the logic of quick sort. Article link: 🤍
Executing test step from groovy code, 🤍
Detailed explanation and code for the Leetcode problem 1646. Get Maximum in Generated Array code: 🤍 Link to problem: 🤍 #LeetCode #algorithm #arrays #CodingInterview #whiteboardInterview
A film by Luke Vasi Media. Featuring Jeewoo Chung and Jennifer King.
Code: 🤍 Link to Problem: 🤍 #LeetCode #Whiteboardexplanation #Coderscamp #codinginterview
This video series helps to learn web automation using cypress. In this video we have covered how to use cypress fixtures. How to access them globally and locally. Cypress fixtures code used in video: 🤍 Basic cypress commands to interact with webpages: 🤍 #coderscamp #cypressautomation #cypressautomationcrashcourse #webautomation
Code: 🤍 Link to problem: 🤍 This video explains two different solution for the problem "Number of 1 bits" using bit manipulation technique. #LeetCode #codinginterview #whiteboardexplanation #coderscamp #numberof1bits #bitmanipulation
Link to Problem: 🤍 Code: 🤍 This video explains the solution for "Partitioning Into Minimum Number Of Deci-Binary Numbers" in O(n) Time and constant space. #LeetCode #coderscamp #codinginterview #whiteboardexplanation
code: 🤍 Link to problem: 🤍 #Coding Interview #whiteboardexplanation #Minimumdeletioncost #leetcode #coderscamp #strings
Link to Problem: 🤍 Code: 🤍 #LeetCode #coderscamp #codinginterview #whiteboardexplanation
To get more detailed steps, 🤍 🤍
Code: 🤍 Link to Problem: 🤍 TimeStamp 0:00 - Understanding the problem Statement 1:58 - Concept & Approach 11:45 - Let's Code This video explains the solution for "Coin change" using dynamic programming. Time Complexity: O(S*n) On each step the algorithm finds the next F(i) in n iterations. Therefore in total the iterations are S*n. #LeetCode #dynamicprogramming #codinginterview #whiteboardexplanation #CodersCamp
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![Python for Beginners – Full Course [Programming Tutorial]](https://i.ytimg.com/vi/eWRfhZUzrAc/mqdefault.jpg "Python for Beginners – Full Course [Programming Tutorial]")
