Complete Python Roadmap

|-- Python_Fundamentals
| |-- Syntax_and_Indentation
| |-- Data_Types (int, float, str, list, tuple, dict)
| |-- Variables and Operators
| |-- Conditional Statements (if, elif, else)
| |-- Loops (for, while)
| |-- Functions and Lambda
| └─ Exception Handling

|-- Object_Oriented_Programming (OOP)
| |-- Classes and Objects
| |-- Inheritance
| |-- Polymorphism
| |-- Encapsulation
| └─ Abstraction

|-- Data_Structures and Algorithms
| |-- Lists, Sets, Tuples, Dictionaries
| |-- Stacks and Queues
| |-- Searching and Sorting Algorithms
| |-- Recursion
| |-- Linked Lists, Trees, Graphs
| └─ Algorithms Complexity (Big O Notation)

|-- Advanced Python Concepts
| |-- Decorators
| |-- Generators and Iterators
| |-- Context Managers
| |-- Multithreading and Multiprocessing
| └─ Asyncio

|-- Python Libraries and Frameworks
| |-- NumPy and Pandas (Data Analysis)
| |-- Matplotlib and Seaborn (Data Visualization)
| |-- Flask / Django (Web Development)
| |-- Requests and BeautifulSoup (Web Scraping)
| └─ PyTest / Unittest (Testing)

|-- Database Connectivity
| |-- SQLite
| |-- MySQL / PostgreSQL
| └─ SQLAlchemy (ORM)

|-- Build and Deployment Tools
| |-- Virtual Environments
| |-- Pip and Requirements.txt
| |-- Docker
| |-- Git and GitHub
| └─ CI/CD Basics

|-- Data Science and Machine Learning
| |-- Scikit-learn
| |-- TensorFlow / PyTorch Basics
| |-- Data Cleaning and Preprocessing
| └─ Model Evaluation

|-- System Design and Best Practices
| |-- Code Optimization
| |-- Design Patterns in Python
| |-- API Development and Security
| └─ Logging and Debugging

|-- Interview Preparation
| |-- Core Python Questions
| |-- OOP and Design Patterns
| |-- DSA Problems in Python
| |-- Mock Interviews

|-- Online Platforms
| |-- LeetCode
| |-- HackerRank
| |-- CodeSignal
| └─ Real Python / W3Schools

❤️ React for more!☕️🐍

ဘယ် programming Languages ဘယ်နယ်ပယ်မှာကောင်းကြလဲဆိုတာ သိရအောင် 👍

Python 🐍 – Data analysis, automation, AI/ML

Java ☕️ – Android apps, enterprise software

JavaScript ⚡️ – Interactive websites, full-stack apps

C++ ⚙️ – Game development, system-level software

C# 🎮 – Unity games, Windows apps

R 📊 – Statistical analysis, data visualization

Go 🚀 – Fast APIs, cloud-native apps

PHP 🐘 – WordPress, backend for websites

Swift 🍎 – iOS/macOS apps

Kotlin 📱 – Modern Android development

#Programming

❇️ Java Coding Challenge

Challenge: မေးခွန်း

Given an array of integers and a target number, print all unique pairs that sum up to the target.

Example:

Input: {2, 4, 3, 5, 7, 8, -1}, Target = 7

Output:
(2, 5)
(4, 3)
(-1, 8)

Approach: ချဉ်ကပ်နည်း
Visited numbers တွေကို သိမ်ဆည်းဖို့ HashSet ကိုသုံးပါ။ ပြီးတော့ complement (target - num) ဖြစ်လားမဖြစ်လား check လုပ်ပါ။


Java Code:

import java.util.HashSet;

public class PairSum {
    public static void main(String[] args) {
        int[] arr = {2, 4, 3, 5, 7, 8, -1};
        int target = 7;

        findPairs(arr, target);
    }

    public static void findPairs(int[] arr, int target) {
        HashSet<Integer> seen = new HashSet<>();

        for (int num : arr) {
            int complement = target - num;

            if (seen.contains(complement)) {
                System.out.println("(" + complement + ", " + num + ")");
            }
            seen.add(num);
        }
    }
}

ဒီ solution က duplicates ဖြစ်ခြင်းကို avoids လုပ်ပေးမျာဖြစ်ပါတယ်။Time complexity ကတော့ O(n) ဖြစ်ပါတယ်။
အားလုံးကို list or array အနေနဲ့ return ပြန်ချင်ရင်တော့ print မထုတ်ပဲ store အရင်လုပ်ပါ။

#java
#Programming