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BCBasic of Java Day 01/100 🔥✅
#java #javaprogramming #javaprogramming #javanotes #javanotes📖📚 #javadeveloper #javalanguage #basicofjava
@bcawalha
#Java Code For Data Science
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CODid you know that Java behaves differently when comparing wrapper classes like Integer? 🤯
In this quiz, we test a simple line of code:
Integer a = 128;
Integer b = 128;
System.out.println(a == b);
Most beginners expect true, but the correct output is: ❌
👇 Watch the video to learn why Java outputs false here!
This happens because of Integer caching mechanism in Java — only values between -128 to 127 are cached. Anything outside that range creates a new object, so == compares references, not values. 🧠💡
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🎯 You'll Learn:
✔ Java wrapper class behavior
✔ Integer caching
✔ Difference between == and .equals()
✔ Common Java interview question
---
💬 Comment below:
Did you get it right? 😎
---
🔍 Keywords:
Java quiz, Integer caching, Java interview question, wrapper classes, Java comparison, Java coding challenge, Java beginner tips, Java programming trick
---
📌 Hashtags:
#Java #JavaQuiz #CodingQuiz #ProgrammerLife #JavaInterview #JavaTips #CodingChallenge #LearnJava #DeveloperCommunity #ProgrammingFacts #JavaDeveloper #CodeSmart #SoftwareEngineer #TechLearning #programminghumor
@codewithprashantt
6.0K
COComment “Link” to Get WhatsApp Channel Link🔥
Follow @coders_section for more!🙂
java basics for beginners, java tutorial full course, java cheatsheet pdf, java oop concepts, java number class methods, java character class methods, java advanced topics, learn java fast, java roadmap 2025, java interview prep
🔥 Hashtags:
#java #javabasics #javaprogramming #objectorientedprogramming #javacoding #javadeveloper #javaforbeginners #oop #learnjava #100daysofcode #javaadvanced #backenddeveloper #softwaredeveloper #javaoop #htmlcssjsjava #developercommunity #codingresources #javainterview #buildinpublic
@codehub_tech
479.5K
COComment “JAVA” for Notes
#java #programming #notes #coding #rajasaab
@codewithswaroop
56.2K
CORead Caption 👇
-------------------------------------------------------
📝 Java Notes :Link in Bio 🔗
--------------------------------‐----------------------
Bg by @bamgamesofc
🔥Get Started
It is not necessary to have any prior programming experience.
🔥What is Java?
Java is a popular programming language, created in 1995.It is owned by Oracle, and more than 3 billion devices run Java.
🔥It is used for:
• Mobile applications (specially Android apps)
• Desktop applications
• Web applications
• Web servers and application servers
• Games
• Database connection
• And much, much more!
🔥Why Use Java?
• Java works on different platforms (Windows, Mac, Linux, Raspberry Pi,
etc.)
• It is one of the most popular programming language in the world
• It has a large demand in the current job market
• It is easy to learn and simple to use
• It is open-source and free
• It is secure, fast and powerful
• It has a huge community support (tens of millions of developers)
• Java is an object oriented language which gives a clear structure to
programs and allows code to be reused, lowering development costs
• As Java is close to C++ and C#, it makes it easy for programmers to
switch to Java or vice versa
🔥Java Install
download it for free at oracle.com.
Setup for Windows
1. Go to "System Properties" (Can be found on Control Panel > System and
Security > System > Advanced System Settings)
2. Click on the "Environment variables" button under the "Advanced" tab
3. Then, select the "Path" variable in System variables and click on the
"Edit" button
4. Click on the "New" button and add the path where Java is installed,
followed by \bin. By default, Java is installed in C:\Program
Files\Java\jdk-11.0.1 (If nothing else was specified when you installed it).
In that case, You will have to add a new path with: C:\Program
Files\Java\jdk-11.0.1\bin
Then, click "OK", and save the settings
5. At last, open Command Prompt (cmd.exe) and type java -version to see
if Java is running on your machine
@code__buddy__
33.5K
AVComment 'In' to join Java resources community 🚀
Save this reel and follow for Day 1
java tutorial for beginners, learn java from scratch, java full course 2026, java roadmap for beginners, java programming basics, object oriented programming java, java for college students, dsa with java, java projects for beginners, coding for beginners, placement preparation java, software developer roadmap, backend development java, spring boot basics, java interview preparation, coding challenge 50 days, learn coding fast, programming basics, java step by step, coding roadmap, learn coding for free
#learnjava #coding #codingforstudents #placements2026 #developerjourney
@avani.codes
258.7K
SAMaster Java in 30 Days with these resources 💯
Follow me , then comment “Java” and send this reel to my DM to get resources Link 🔗
https://drive.google.com/file/d/19HpNNcnwEGTkZn4irnCXA7QOzfPXdEQn/view?usp=sharing
{placements , jobs , internship, resume , java , roadmap , unemployment , layoffs , employment , it , technology , tech , computer , college , coding }
#internship #job #placements #resume #roadmap #java #python #layoffs #technology #coding #coding #dsa #college #employment #unemployment #layoffs
@sagar_mee_
1.0M
SIJava developer quickly❤️🔥
#java #javadeveloper #javadevelopers #coding #interview #softwaredevelopers #telugucoding #googlejobs
@sindhu__raja
5.1K
IT4 playlist to master Java + DSA in 2025 🚀
This reel I will share some best resources to learn Java + DSA Free YouTube playlist
Follow @xcodervicky For More ❤️
[ DSA , Data Structure, Data Structure Algorithm, free resources, Java and DSA, Learn Java, ]
#dsa #datastructure #algorithms #system #java #javaprogramming #explorepage✨ #datascience
@itsvicky.code
24.3K
CO30 Most Frequently Asked Questions on Java 8, DSA & System Design.Covering fundamentals to advanced concepts asked in real interviews.
Java 8 → DSA → System Design
Structured for better understanding and revision.
→ Medium → Hard (minimal emoji, numbered, crisp):
Comment "pdf" for rest of the interview questions and precise answers to all these questions.
Java 8 (Foundation → Advanced)
1. What are Lambda Expressions and why were they introduced?
2. What is Functional Interface? Explain with example
3. Difference between Stream API and Collection
4. How does map() vs flatMap() work?
5. What is Optional and how does it prevent NullPointerException?
6. Difference between forEach() and peek()
7. What are method references? Types?
8. How does filter() work in Streams?
9. What is Parallel Stream and when NOT to use it?
10. What is the difference between findFirst() and findAny()
⸻
💡 DSA (Must Know Concepts)
Easy → Medium
1. What is the Sliding Window technique?
2. How does Two Pointer approach work?
3. How to detect a cycle in a Linked List?
4. Difference between BFS and DFS
5. How to solve Two Sum using HashMap?
6. What is Divide and Conquer strategy?
7. What are Greedy Algorithms and their limitations?
8. What is a Trie and where is it used?
9. How to find Kth largest element using Heap?
10. Difference between Merge Sort and Quick Sort
Medium → Hard
1. How to solve 0/1 Knapsack using DP?
2. What is Backtracking and when to use it?
3. Binary Search in rotated arrays
4. Detect islands in Matrix using DFS
5. Bit Manipulation for XOR problems
6. Segment Tree vs Fenwick Tree
7. Longest Common Subsequence (DP)
8. Top K Frequent Elements
9. Flatten Binary Tree to Linked List
10. Monotonic Stack usage
Comment "pdf" for rest of the interview questions and precise answers to all these questions.
#systemdesign
#engineers
#developers
#softwareengineering
#springboot
[coding, system design, springboot, genAl developers, software engineer, coders, java]
@coding_with_deepa
288.7K
TEDSA with Java Roadmap
1. Java Foundations
- Java Syntax and Basic Programming Specifications
- Object-Oriented Principles (Inheritance, Encapsulation, Polymorphism, Abstraction)
2. Basic Data Structures
- Arrays
- Multi-dimensional Arrays
- Strings
- Linked List
- Singly Linked List
- Doubly Linked List
- Stack
- Queue
- Priority Queue
3. Intermediate Data Structures
- Trees
- Binary Trees
- Binary Search Trees
- AVL Trees
- Graphs
- Hash Tables
4. Advanced Data Structures
- Trie
- Segment Tree
- Fenwick Tree (Binary Indexed Tree)
5. Basic Algorithms
- Searching
- Linear Search
- Binary Search
- Sorting
- Bubble Sort
- Quick Sort
- Merge Sort
6. Intermediate Algorithms
- Graph Algorithms
- Depth-First Search (DFS)
- Breadth-First Search (BFS)
- Dijkstra’s Algorithm
- Kruskal’s Algorithm
7. Advanced Algorithms
- Dynamic Programming
- Greedy Algorithms
- Divide and Conquer
- Backtracking
8. Practice Problems and Real-world Projects
- Solve a variety of problems on online platforms like LeetCode, HackerRank.
- Develop projects focusing on implementing the learned concepts.
Projects
1. Inventory Management System
2. Social Media Platform Simulation
3. E-commerce System
4. Hotel Booking System
5. Job Portal
6. Hospital Management System
7. Online Banking System
8. School Management System
9. Online Voting System
10. Real-Time Chat Application
#java #dsa #datastructure #algorithms
@techie_programmer
1.2M
THHere’s a roadmap to help you go from a software engineer to a data scientist 👩💻 👇
If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you.
Step 1 – Learn Python and SQL (not Java, C++, or JavaScript).
→ Focus on pandas, numpy, scikit-learn, matplotlib
→ For SQL: use LeetCode or StrataScratch to practice real-world queries
→ Don’t just write code—learn to think in data
Step 2 – Build your foundation in statistics + math.
→ Start with Practical Statistics for Data Scientists
→ Learn: probability, hypothesis testing, confidence intervals, distributions
→ Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule)
Step 3 – Learn ML the right way.
→ Do Andrew Ng’s ML course (Deeplearning.ai)
→ Master the full pipeline: cleaning → feature engineering → modeling → evaluation
→ Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper
Step 4 – Build 2–3 real, messy projects.
→ Don’t follow toy tutorials
→ Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio
→ Upload everything to GitHub with a clear README
Step 5 – Become a storyteller with data.
→ Read Storytelling with Data by Cole Knaflic
→ Learn to explain your findings to non-technical teams
→ Practice communicating precision/recall/F1 in simple language
Step 6 – Stay current. Never stop learning.
→ Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn
→ Join communities, follow researchers, and keep shipping new experiments
-------
Save this for later.
Tag a friend who’s trying to make the switch.
[software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]
@the.datascience.gal
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