4 Tips To Learn Java Programming As Fast As Possible As A Beginner

Back To Back SWE ยท Beginner ยท๐Ÿง  Large Language Models ยท9y ago
Try Our Full Platform ๐Ÿ‘‰ https://nas.io/backtobackswe ๐Ÿ“น Intuitive Video Explanations โ“New Unseen Questions ๐Ÿ”Ž Get All Solutions ____________________________________________________________________ How Long Does It Take To Learn To Code For Java & Android?: Article - http://javaprogrammingforbeginners.com/index.php/how-long-does-it-take-to-learn-to-code-java-or-android/ Video - https://www.youtube.com/watch?v=BtO4KqxWDdI How Hard Is It To Learn To Code Java or Android As A Beginner?: Article - http://javaprogrammingforbeginners.com/index.php/how-hard-is-it-to-learn-to-code-java-or-android-as-a-beginner/ Video - https://www.youtube.com/watch?v=yZMRFjaK6Is 10 Signs You Are Going To Become A Coder When You Grow Up: Article - http://javaprogrammingforbeginners.com/10-signs-you-are-going-to-become-a-coder-when-you-grow-up/ Video - https://www.youtube.com/watch?v=43ZBdpsgkQA This video's topic on my blog: http://javaprogrammingforbeginners.com/learn-java-programming-fast/ About Me: http://javaprogrammingforbeginners.com/index.php/about-me/ ____________________________________________________________________ Now, there are a lot of skills that youโ€™d need if you want to be a successful software developer, but in today's dynamic environment, learning programming for Java can be very beneficial. Most university courses and AP Computer Science courses are taught in the programming language of Java... ...I know this from experience since I learned Java and Android with Treehouse and my AP Computer Science class was a breeze. You can continue on to do android app development with your java skills or just build java applications alone. This is particularly important if you want to start off your professional path as soon as possible. Anyway, looking back to when I learned Java and Android development I made a lot of mistakes that I believed would speed up my learning process... ...but they actually slowed down my learning and impeded my growth as a
Watch on YouTube โ†— (saves to browser)
Sign in to unlock AI tutor explanation ยท โšก30

Playlist

Uploads from Back To Back SWE ยท Back To Back SWE ยท 1 of 60

โ† Previous Next โ†’
โ–ถ 4 Tips To Learn Java Programming As Fast As Possible As A Beginner
4 Tips To Learn Java Programming As Fast As Possible As A Beginner
Back To Back SWE
2 3 Mistakes Beginners Make When First Learning Java and Android Development
3 Mistakes Beginners Make When First Learning Java and Android Development
Back To Back SWE
3 How To Get A Job At Google | The Ultimate Guide To Algorithmic/Coding Interviews
How To Get A Job At Google | The Ultimate Guide To Algorithmic/Coding Interviews
Back To Back SWE
4 The Ultimate Big O Notation Tutorial (Time & Space Complexity For Algorithms)
The Ultimate Big O Notation Tutorial (Time & Space Complexity For Algorithms)
Back To Back SWE
5 Total Occurrences Of K In A Sorted Array (Facebook Software Engineering Interview Question)
Total Occurrences Of K In A Sorted Array (Facebook Software Engineering Interview Question)
Back To Back SWE
6 The N Queens Problem using Backtracking/Recursion - Explained
The N Queens Problem using Backtracking/Recursion - Explained
Back To Back SWE
7 Compute All Mnemonics For A Phone Number (Recursion/Backtracking Problem)
Compute All Mnemonics For A Phone Number (Recursion/Backtracking Problem)
Back To Back SWE
8 How To Reverse A Singly Linked List | The Ultimate Explanation (Iteratively & Recursively)
How To Reverse A Singly Linked List | The Ultimate Explanation (Iteratively & Recursively)
Back To Back SWE
9 Depth First & Breadth First Graph Search - DFS & BFS Graph Searching Algorithms
Depth First & Breadth First Graph Search - DFS & BFS Graph Searching Algorithms
Back To Back SWE
10 The 0/1 Knapsack Problem (Demystifying Dynamic Programming)
The 0/1 Knapsack Problem (Demystifying Dynamic Programming)
Back To Back SWE
11 The Dutch National Flag Problem (The Quicksort "Band-Aid")
The Dutch National Flag Problem (The Quicksort "Band-Aid")
Back To Back SWE
12 Test If A Binary Tree Is Symmetric ("Symmetric Tree" on Leetcode)
Test If A Binary Tree Is Symmetric ("Symmetric Tree" on Leetcode)
Back To Back SWE
13 The IP Address Decomposition Problem - Compute All Valid IP Addresses From Raw IP String
The IP Address Decomposition Problem - Compute All Valid IP Addresses From Raw IP String
Back To Back SWE
14 How To Permute A String - Generate All Permutations Of A String
How To Permute A String - Generate All Permutations Of A String
Back To Back SWE
15 The Balanced Parentheses Problem - Classic Stack Problem ("Valid Parentheses" on Leetcode)
The Balanced Parentheses Problem - Classic Stack Problem ("Valid Parentheses" on Leetcode)
Back To Back SWE
16 Knuthโ€“Morrisโ€“Pratt (KMP) Pattern Matching Substring Search -  First Occurrence Of Substring
Knuthโ€“Morrisโ€“Pratt (KMP) Pattern Matching Substring Search - First Occurrence Of Substring
Back To Back SWE
17 Implement An LRU Cache - The LRU Cache Eviction Policy ("LRU Cache" on LeetCode)
Implement An LRU Cache - The LRU Cache Eviction Policy ("LRU Cache" on LeetCode)
Back To Back SWE
18 Find The Longest Increasing Subsequence - Dynamic Programming Fundamentals
Find The Longest Increasing Subsequence - Dynamic Programming Fundamentals
Back To Back SWE
19 Generate All Palindromic Decompositions Of A String ("Palindrome Partitioning" on Leetcode)
Generate All Palindromic Decompositions Of A String ("Palindrome Partitioning" on Leetcode)
Back To Back SWE
20 Implement A Sudoku Solver - Sudoku Solving Backtracking Algorithm ("Sudoku Solver" on LeetCode)
Implement A Sudoku Solver - Sudoku Solving Backtracking Algorithm ("Sudoku Solver" on LeetCode)
Back To Back SWE
21 Merge K Sorted Arrays - Min Heap Algorithm ("Merge K Sorted Lists" on LeetCode)
Merge K Sorted Arrays - Min Heap Algorithm ("Merge K Sorted Lists" on LeetCode)
Back To Back SWE
22 Partition To K Equal Sum Subsets From An Array of Integers - The Backtracking Approach
Partition To K Equal Sum Subsets From An Array of Integers - The Backtracking Approach
Back To Back SWE
23 Edit Distance Between 2 Strings - The Levenshtein Distance ("Edit Distance" on LeetCode)
Edit Distance Between 2 Strings - The Levenshtein Distance ("Edit Distance" on LeetCode)
Back To Back SWE
24 Total Ways To Decode A String - Recursive Dynamic Programming Approach ("Decode Ways" on LeetCode)
Total Ways To Decode A String - Recursive Dynamic Programming Approach ("Decode Ways" on LeetCode)
Back To Back SWE
25 The Change Making Problem - Fewest Coins To Make Change Dynamic Programming
The Change Making Problem - Fewest Coins To Make Change Dynamic Programming
Back To Back SWE
26 Compute The Next Permutation of A Numeric Sequence - Case Analysis ("Next Permutation" on Leetcode)
Compute The Next Permutation of A Numeric Sequence - Case Analysis ("Next Permutation" on Leetcode)
Back To Back SWE
27 Count Total Unique Binary Search Trees - The nth Catalan Number (Dynamic Programming)
Count Total Unique Binary Search Trees - The nth Catalan Number (Dynamic Programming)
Back To Back SWE
28 Generate All Strings With n Matched Parentheses - Backtracking ("Generate Parentheses" on LeetCode)
Generate All Strings With n Matched Parentheses - Backtracking ("Generate Parentheses" on LeetCode)
Back To Back SWE
29 Implement A Max Stack - A Stack With A .max() API (Similar To "Min Stack" on LeetCode)
Implement A Max Stack - A Stack With A .max() API (Similar To "Min Stack" on LeetCode)
Back To Back SWE
30 The Recursive Staircase - Top Down & Bottom Up Dynamic Programming ("Climbing Stairs" on LeetCode)
The Recursive Staircase - Top Down & Bottom Up Dynamic Programming ("Climbing Stairs" on LeetCode)
Back To Back SWE
31 Search A Maze For Any Path - Depth First Search Fundamentals (Similar To "The Maze" on Leetcode)
Search A Maze For Any Path - Depth First Search Fundamentals (Similar To "The Maze" on Leetcode)
Back To Back SWE
32 Total Unique Ways To Make Change - Dynamic Programming ("Coin Change 2" on LeetCode)
Total Unique Ways To Make Change - Dynamic Programming ("Coin Change 2" on LeetCode)
Back To Back SWE
33 Test If A Binary Tree Is Height Balanced ("Balanced Binary Tree" on LeetCode)
Test If A Binary Tree Is Height Balanced ("Balanced Binary Tree" on LeetCode)
Back To Back SWE
34 Find The Second Largest Item - Heap & Tracking Approach (Beginner Big N Interview Question)
Find The Second Largest Item - Heap & Tracking Approach (Beginner Big N Interview Question)
Back To Back SWE
35 Increment An Integer Represented As An Array ("Plus One" on LeetCode)
Increment An Integer Represented As An Array ("Plus One" on LeetCode)
Back To Back SWE
36 Merge 2 Sorted Lists - A Fundamental Merge Sort Subroutine ("Merge Two Sorted Lists" on LeetCode)
Merge 2 Sorted Lists - A Fundamental Merge Sort Subroutine ("Merge Two Sorted Lists" on LeetCode)
Back To Back SWE
37 Clone An Undirected Graph - The Utility of Hashtable Mappings ("Clone Graph" on Leetcode)
Clone An Undirected Graph - The Utility of Hashtable Mappings ("Clone Graph" on Leetcode)
Back To Back SWE
38 Clone A Linked List (With Random Pointers) - Linear Space Solution & Tricky Constant Space Solution
Clone A Linked List (With Random Pointers) - Linear Space Solution & Tricky Constant Space Solution
Back To Back SWE
39 Deeply Understanding Logarithms In Time Complexities & Their Role In Computer Science
Deeply Understanding Logarithms In Time Complexities & Their Role In Computer Science
Back To Back SWE
40 Implement A Binary Heap - An Efficient Implementation of The Priority Queue ADT (Abstract Data Type)
Implement A Binary Heap - An Efficient Implementation of The Priority Queue ADT (Abstract Data Type)
Back To Back SWE
41 Max Contiguous Subarray Sum - Cubic Time To Kadane's Algorithm ("Maximum Subarray" on LeetCode)
Max Contiguous Subarray Sum - Cubic Time To Kadane's Algorithm ("Maximum Subarray" on LeetCode)
Back To Back SWE
42 Binary Tree Bootcamp: Full, Complete, & Perfect Trees. Preorder, Inorder, & Postorder Traversal.
Binary Tree Bootcamp: Full, Complete, & Perfect Trees. Preorder, Inorder, & Postorder Traversal.
Back To Back SWE
43 What Is Asymptotic Analysis? And Why Does It Matter? A Deeper Understanding of Asymptotic Notation.
What Is Asymptotic Analysis? And Why Does It Matter? A Deeper Understanding of Asymptotic Notation.
Back To Back SWE
44 An In-Depth Algorithmic Analysis of Bubble Sort. Best Case, Average Case, & Worst Case.
An In-Depth Algorithmic Analysis of Bubble Sort. Best Case, Average Case, & Worst Case.
Back To Back SWE
45 Maximum Sum Rectangle In A 2D Matrix - Kadane's Algorithm Applications (Dynamic Programming)
Maximum Sum Rectangle In A 2D Matrix - Kadane's Algorithm Applications (Dynamic Programming)
Back To Back SWE
46 A Detailed Algorithmic Analysis of Insertion Sort. Best Case & Worst Case.
A Detailed Algorithmic Analysis of Insertion Sort. Best Case & Worst Case.
Back To Back SWE
47 Binary Tree Level Order Traversal - Drawing The Parallel Between Trees & Graphs
Binary Tree Level Order Traversal - Drawing The Parallel Between Trees & Graphs
Back To Back SWE
48 Implement A Queue Using Stacks - The Queue ADT ("Implement Queue Using Stacks" on LeetCode)
Implement A Queue Using Stacks - The Queue ADT ("Implement Queue Using Stacks" on LeetCode)
Back To Back SWE
49 All Nodes Distance K In A Binary Tree - Performing Bidirectional Search On A Tree Using A Hashtable
All Nodes Distance K In A Binary Tree - Performing Bidirectional Search On A Tree Using A Hashtable
Back To Back SWE
50 Longest Common Subsequence (2 Strings) - Dynamic Programming & Competing Subproblems
Longest Common Subsequence (2 Strings) - Dynamic Programming & Competing Subproblems
Back To Back SWE
51 Egg Dropping Problem: Dynamic Programming Fundamentals & Understanding Subproblem Decomposition
Egg Dropping Problem: Dynamic Programming Fundamentals & Understanding Subproblem Decomposition
Back To Back SWE
52 Minimum Window Substring: Utilizing Two Pointers & Tracking Character Mappings With A Hashtable
Minimum Window Substring: Utilizing Two Pointers & Tracking Character Mappings With A Hashtable
Back To Back SWE
53 Reverse Polish Notation: Types of Mathematical Notations & Using A Stack To Solve RPN Expressions
Reverse Polish Notation: Types of Mathematical Notations & Using A Stack To Solve RPN Expressions
Back To Back SWE
54 Asymptotic Notations 101: Big O, Big Omega, & Theta (Asymptotic Analysis Bootcamp)
Asymptotic Notations 101: Big O, Big Omega, & Theta (Asymptotic Analysis Bootcamp)
Back To Back SWE
55 The Backtracking Blueprint: The Legendary 3 Keys To Backtracking Algorithms
The Backtracking Blueprint: The Legendary 3 Keys To Backtracking Algorithms
Back To Back SWE
56 Fast Multiplication: From Grade-School Multiplication To Karatsuba's Algorithm
Fast Multiplication: From Grade-School Multiplication To Karatsuba's Algorithm
Back To Back SWE
57 Search A 2D Sorted Matrix - Fundamentals of Search Space Reduction
Search A 2D Sorted Matrix - Fundamentals of Search Space Reduction
Back To Back SWE
58 The Quicksort Sorting Algorithm: Pick A Pivot, Partition, & Recurse
The Quicksort Sorting Algorithm: Pick A Pivot, Partition, & Recurse
Back To Back SWE
59 Lowest Common Ancestor Between 2 Binary Tree Nodes (A Recursive Approach)
Lowest Common Ancestor Between 2 Binary Tree Nodes (A Recursive Approach)
Back To Back SWE
60 Sort A K Sorted Array - Investigating Applications of Min/Max Heaps
Sort A K Sorted Array - Investigating Applications of Min/Max Heaps
Back To Back SWE

Related AI Lessons

โšก
Beyond RAG: How MCP Native Knowledge Graphs Unlock Full Codebase Structural Awareness
Unlock full codebase structural awareness by moving beyond RAG with MCP Native Knowledge Graphs, enabling more efficient code searching and understanding.
Medium ยท AI
โšก
Beyond RAG: How MCP Native Knowledge Graphs Unlock Full Codebase Structural Awareness
Learn how MCP Native Knowledge Graphs can unlock full codebase structural awareness beyond RAG, and apply this knowledge to improve your codebase management
Medium ยท Machine Learning
โšก
Beyond RAG: How MCP Native Knowledge Graphs Unlock Full Codebase Structural Awareness
Unlock full codebase structural awareness with MCP Native Knowledge Graphs, going beyond RAG and enhancing code understanding and management.
Medium ยท Data Science
โšก
Getting Consistent LLM Output Starts Here โ€” Temperature & Top-P
Learn to control LLM output consistency using temperature and Top-P parameters
Medium ยท LLM
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch โ†’