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๐Ÿค“ 50+ Programming Terms You Should Know [Part-1] ๐Ÿš€

A

API (Application Programming Interface): A set of rules that lets apps talk to each other. ๐Ÿ—ฃ๏ธ
Algorithm: Step-by-step instructions to solve a problem. โš™๏ธ
Asynchronous: Code that runs without blocking other operations (e.g., async/await). โฑ๏ธ

B

Binary: Base-2 number system using 0s and 1s. ๐Ÿ”ข
Boolean: Data type with only two values: true or false. โœ…/โŒ
Buffer: Temporary memory area for data being transferred. ๐Ÿ—„๏ธ

C

Compiler: Converts source code into machine code. ๐Ÿ’ปโžก๏ธโš™๏ธ
Closure: A function that remembers variables from its parent scope. ๐Ÿ”’
Concurrency: Multiple tasks making progress at the same time. ๐Ÿ”„

D

Data Structure: Organized way to store/manage data (arrays, stacks, queues). ๐Ÿงฎ
Debugging: Finding and fixing errors in code. ๐Ÿ›
Dependency Injection: Supplying external resources to a class instead of hardcoding them. ๐Ÿ’‰

E

Encapsulation: Hiding internal details of a class, exposing only whatโ€™s needed. ๐Ÿ“ฆ
Event Loop: Mechanism that handles async operations in environments like JavaScript. ๐ŸŽก
Exception Handling: Managing runtime errors gracefully. ๐Ÿ›ก๏ธ

F

Framework: Pre-built structure to speed up development (React, Django). ๐Ÿ—๏ธ
Function: Block of code that performs a specific task. โš™๏ธ
Fork: Copy of a project/repository for independent development. ๐Ÿด

G

Garbage Collection: Automatic memory cleanup for unused objects. ๐Ÿ—‘๏ธ
Git: Version control system to track code changes. ๐ŸŒฟ
Generics: Code templates that work with any data type. ๐Ÿงฐ

H

Hashing: Converting data into a fixed-size value for fast lookups. ๐Ÿ”‘
Heap: Memory area for dynamic allocation. โ›ฐ๏ธ
HTTP: Protocol for communication on the web. ๐ŸŒ

I

IDE (Integrated Development Environment): Tool with editor, debugger, and compiler. ๐Ÿงฐ
Immutable: Data that canโ€™t be changed after creation. ๐Ÿ”’
Interface: Contract defining methods a class must implement. ๐Ÿค

J

JSON: Lightweight data format (JavaScript Object Notation). ๐Ÿ“ฆ
JIT Compilation: Compiling code at runtime for speed. โšก
JWT: JSON Web Token, used for authentication. ๐Ÿ”‘

K

Kernel: Core of an OS managing hardware and processes. โš™๏ธ
Key-Value Store: Database storing data as pairs (e.g., Redis). ๐Ÿ—๏ธ
Kubernetes: System to automate container deployment & scaling. โ˜ธ๏ธ

L

Library: Reusable collection of code (e.g., NumPy, Lodash). ๐Ÿ“š
Linked List: Data structure where each element points to the next. ๐Ÿ”—
Lambda: Anonymous function, often used for short tasks. ๐Ÿ“

M

Middleware: Software that sits between systems to handle requests/responses. ๐ŸŒ‰
MVC (Model-View-Controller): Architectural pattern for web apps. ๐Ÿ›๏ธ
Mutable: Data that can be changed after creation. โœ๏ธ

N

Namespace: Container for identifiers to avoid naming conflicts. ๐Ÿท๏ธ
Node.js: JavaScript runtime for building server-side apps. ๐ŸŸข
Normalization: Organizing database tables to reduce redundancy. ๐Ÿงน

O

Object-Oriented Programming (OOP): Code organized into objects with properties & methods. ๐Ÿ“ฆ
Overloading: Multiple methods with the same name but different parameters. ๐Ÿ‹๏ธ
ORM: Object-Relational Mapping, linking database tables to code objects. ๐Ÿ—บ๏ธ

P

Polymorphism: Ability of different classes to respond to the same method call. ๐ŸŽญ
Promise: JavaScript object representing a future value. ๐Ÿคž
Pseudocode: Human-readable outline of an algorithm. โœ๏ธ

Q

Queue: FIFO (First In, First Out) data structure. โžก๏ธ
Query: Request for data from a database. โ“
QuickSort: Efficient divide-and-conquer sorting algorithm. โฉ

R

Recursion: Function calling itself to solve subproblems. ๐Ÿ”„
REST: API style using HTTP methods like GET/POST. ๐Ÿ“ก
Regex: Pattern matching for text.

S

Stack: LIFO (Last In, First Out) data structure. โฌ†๏ธ
Scope: Region of code where a variable is accessible. ๐Ÿ”ญ
Singleton: Design pattern with only one instance of a class. ๐Ÿ‘‘

T

Thread: Smallest unit of CPU execution. ๐Ÿงต
Tokenization: Breaking text into meaningful units. ๐Ÿงฉ
TypeScript: JavaScript with static typing. โŒจ๏ธ

Double Tap โ™ฅ๏ธ For More
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โœ… ๐Ÿ”ค Aโ€“Z of Web Development

A โ€“ API (Application Programming Interface)
Allows communication between different software systems.

B โ€“ Backend
The server-side logic and database operations of a web app.

C โ€“ CSS (Cascading Style Sheets)
Used to style and layout HTML elements.

D โ€“ DOM (Document Object Model)
Tree structure representation of web pages used by JavaScript.

E โ€“ Express.js
Minimal Node.js framework for building backend applications.

F โ€“ Frontend
Client-side part users interact with (HTML, CSS, JS).

G โ€“ Git
Version control system to track changes in code.

H โ€“ Hosting
Making your website or app available online.

I โ€“ IDE (Integrated Development Environment)
Software used to write and manage code (e.g., VS Code).

J โ€“ JavaScript
Scripting language that adds interactivity to websites.

K โ€“ Keywords
Important for SEO and also used in programming languages.

L โ€“ Lighthouse
Tool for testing website performance and accessibility.

M โ€“ MongoDB
NoSQL database often used in full-stack apps.

N โ€“ Node.js
JavaScript runtime for server-side development.

O โ€“ OAuth
Protocol for secure authorization and login.

P โ€“ PHP
Server-side language used in platforms like WordPress.

Q โ€“ Query Parameters
Used in URLs to send data to the server.

R โ€“ React
JavaScript library for building user interfaces.

S โ€“ SEO (Search Engine Optimization)
Improving site visibility on search engines.

T โ€“ TypeScript
A superset of JavaScript with static typing.

U โ€“ UI (User Interface)
Visual part of an app that users interact with.

V โ€“ Vue.js
Progressive JavaScript framework for building UIs.

W โ€“ Webpack
Module bundler for optimizing web assets.

X โ€“ XML
Markup language used for data sharing and transport.

Y โ€“ Yarn
JavaScript package manager alternative to npm.

Z โ€“ Z-index
CSS property to control element stacking on the page.

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1๏ธโƒฃ Beginner Frontend Projects ๐ŸŒฑ
โ€ข Personal Portfolio Website
โ€ข Landing Page Design
โ€ข To-Do List (Local Storage)
โ€ข Calculator using HTML, CSS, JavaScript
โ€ข Quiz Application

2๏ธโƒฃ JavaScript Practice Projects โšก
โ€ข Stopwatch / Countdown Timer
โ€ข Random Quote Generator
โ€ข Typing Speed Test
โ€ข Image Slider / Carousel
โ€ข Form Validation Project

3๏ธโƒฃ API Based Frontend Projects ๐ŸŒ
โ€ข Weather App using API
โ€ข Movie Search App
โ€ข Cryptocurrency Price Tracker
โ€ข News App using Public API
โ€ข Recipe Finder App

4๏ธโƒฃ React / Modern Framework Projects โš›๏ธ
โ€ข Notes App with Local Storage
โ€ข Task Management App
โ€ข Blog UI with Routing
โ€ข Expense Tracker with Charts
โ€ข Admin Dashboard

5๏ธโƒฃ UI/UX Focused Projects ๐ŸŽจ
โ€ข Interactive Resume Builder
โ€ข Drag Drop Kanban Board
โ€ข Theme Switcher (Dark/Light Mode)
โ€ข Animated Landing Page
โ€ข E-Commerce Product UI

6๏ธโƒฃ Real-Time Frontend Projects โฑ๏ธ
โ€ข Chat Application UI
โ€ข Live Polling App
โ€ข Real-Time Notification Panel
โ€ข Collaborative Whiteboard
โ€ข Multiplayer Quiz Interface

7๏ธโƒฃ Advanced Frontend Projects ๐Ÿš€
โ€ข Social Media Feed UI (Instagram/LinkedIn Clone)
โ€ข Video Streaming UI (YouTube Clone)
โ€ข Online Code Editor UI
โ€ข SaaS Dashboard Interface
โ€ข Real-Time Collaboration Tool

8๏ธโƒฃ Portfolio Level / Unique Projects โญ
โ€ข Developer Community UI
โ€ข Remote Job Listing Platform UI
โ€ข Freelancer Marketplace UI
โ€ข Productivity Tracking Dashboard
โ€ข Learning Management System UI

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๐Ÿ› ๏ธ Detailed Roadmap to Become a JavaScript Developer

๐Ÿ“‚ Start with Programming Basics
Understand variables, data types, loops, functions, and conditional statements. Build logical thinking first.

โˆŸ๐Ÿ“‚ Learn JavaScript Fundamentals
Master core JS concepts:
โ€“ var, let, const
โ€“ Functions, Scope, Hoisting
โ€“ Arrays & Objects
โ€“ DOM Manipulation
โ€“ Events & Event Handling

โˆŸ๐Ÿ“‚ Understand ES6+ Features
Learn modern syntax like arrow functions, destructuring, template literals, promises, async/await, and modules.

โˆŸ๐Ÿ“‚ Master the Browser Environment
Explore how JS works in browsers, including:
โ€“ BOM (Window, Navigator, History)
โ€“ DOM Traversal & Manipulation
โ€“ Fetch API & AJAX

โˆŸ๐Ÿ“‚ Learn Debugging & Dev Tools
Use Chrome DevTools to inspect, debug, and optimize your code effectively.

โˆŸ๐Ÿ“‚ Build Projects (Vanilla JS)
Create small apps like a calculator, to-do list, or quiz app to strengthen your understanding.

โˆŸ๐Ÿ“‚ Learn Git & GitHub
Track your code, collaborate with others, and build your coding portfolio.

โˆŸ๐Ÿ“‚ Move to Advanced Topics
Study closures, prototypes, event loop, promises, this keyword, and memory management.

โˆŸ๐Ÿ“‚ Learn Frameworks (React preferred)
Pick a popular JS framework like React. Learn components, props, state, hooks, and routing.

โˆŸ๐Ÿ“‚ Understand Package Managers & Tooling
Get hands-on with NPM/Yarn, Webpack, Babel, ESLint, etc.

โˆŸ๐Ÿ“‚ Work on Real-World Projects
Build full-stack or frontend apps to showcase in your portfolio.

โˆŸโœ… Apply for Jobs / Internships
Once confident, start applying for Frontend/JavaScript Developer roles!

๐Ÿ’ฌ Tap โค๏ธ for more!
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Tools & Tech Every Developer Should Know โš’๏ธ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป

โฏ VS Code โžŸ Lightweight, Powerful Code Editor
โฏ Postman โžŸ API Testing, Debugging
โฏ Docker โžŸ App Containerization
โฏ Kubernetes โžŸ Scaling & Orchestrating Containers
โฏ Git โžŸ Version Control, Team Collaboration
โฏ GitHub/GitLab โžŸ Hosting Code Repos, CI/CD
โฏ Figma โžŸ UI/UX Design, Prototyping
โฏ Jira โžŸ Agile Project Management
โฏ Slack/Discord โžŸ Team Communication
โฏ Notion โžŸ Docs, Notes, Knowledge Base
โฏ Trello โžŸ Task Management
โฏ Zsh + Oh My Zsh โžŸ Advanced Terminal Experience
โฏ Linux Terminal โžŸ DevOps, Shell Scripting
โฏ Homebrew (macOS) โžŸ Package Manager
โฏ Anaconda โžŸ Python & Data Science Environments
โฏ Pandas โžŸ Data Manipulation in Python
โฏ NumPy โžŸ Numerical Computation
โฏ Jupyter Notebooks โžŸ Interactive Python Coding
โฏ Chrome DevTools โžŸ Web Debugging
โฏ Firebase โžŸ Backend as a Service
โฏ Heroku โžŸ Easy App Deployment
โฏ Netlify โžŸ Deploy Frontend Sites
โฏ Vercel โžŸ Full-Stack Deployment for Next.js
โฏ Nginx โžŸ Web Server, Load Balancer
โฏ MongoDB โžŸ NoSQL Database
โฏ PostgreSQL โžŸ Advanced Relational Database
โฏ Redis โžŸ Caching & Fast Storage
โฏ Elasticsearch โžŸ Search & Analytics Engine
โฏ Sentry โžŸ Error Monitoring
โฏ Jenkins โžŸ Automate CI/CD Pipelines
โฏ AWS/GCP/Azure โžŸ Cloud Services & Deployment
โฏ Swagger โžŸ API Documentation
โฏ SASS/SCSS โžŸ CSS Preprocessors
โฏ Tailwind CSS โžŸ Utility-First CSS Framework

React โค๏ธ if you found this helpful

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๐Ÿ“Š ๐—ง๐—ผ๐—ฝ ๐Ÿฐ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ง๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿš€

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PHP โ€“ Essential Concepts ๐Ÿš€

1๏ธโƒฃ Basics of PHP

Server-Side Scripting โ€“ PHP runs on the server, generating dynamic web pages.

Syntax & Variables โ€“ $variable_name = "value";

Data Types โ€“ Strings, Integers, Floats, Booleans, Arrays, Objects.

Operators โ€“ Arithmetic (+, -, *, /), Comparison (==, !=), Logical (&&, ||).


2๏ธโƒฃ Control Structures

Conditional Statements โ€“ if, else, elseif, switch.

Loops โ€“ for, while, do-while, foreach.

Functions โ€“ Define reusable blocks of code (function myFunction() {}).


3๏ธโƒฃ Working with Forms

Handling Form Data โ€“ $_GET and $_POST.

Validation & Sanitization โ€“ filter_var(), htmlspecialchars().

File Uploads โ€“ Handling $_FILES array.


4๏ธโƒฃ Working with Databases (MySQL & PDO)

Connecting to a Database โ€“ mysqli_connect() or PDO.

Executing Queries โ€“ SELECT, INSERT, UPDATE, DELETE.

Prepared Statements โ€“ Prevent SQL injection using prepare().


5๏ธโƒฃ PHP and Sessions

Sessions โ€“ Store user data across pages (session_start();).

Cookies โ€“ Store small pieces of data on the client (setcookie();).


6๏ธโƒฃ Object-Oriented Programming (OOP) in PHP

Classes & Objects โ€“ Define with class and instantiate using new.

Encapsulation โ€“ Use public, private, protected.

Inheritance โ€“ Extend functionality using extends.

Polymorphism & Interfaces โ€“ Create flexible code structures.


7๏ธโƒฃ File Handling

Reading & Writing Files โ€“ fopen(), fread(), fwrite().

Working with JSON & XML โ€“ json_encode(), json_decode().


8๏ธโƒฃ REST APIs with PHP

Handling API Requests โ€“ $_GET, $_POST.

JSON Response โ€“ header("Content-Type: application/json");.

cURL for API Calls โ€“ curl_init(), curl_exec().


9๏ธโƒฃ Security Best Practices

Prevent SQL Injection โ€“ Use prepared statements.

Cross-Site Scripting (XSS) Prevention โ€“ htmlspecialchars().

Cross-Site Request Forgery (CSRF) Protection โ€“ Use tokens.

Password Hashing โ€“ Use password_hash(), password_verify().


๐Ÿ”Ÿ PHP Frameworks & Tools

Laravel โ€“ Modern PHP framework for web applications.

CodeIgniter โ€“ Lightweight MVC framework.

Composer โ€“ Dependency manager for PHP.


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๐Ÿ”ฐ How to become a data scientist in 2025?

๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป If you want to become a data science professional, follow this path! I've prepared a complete roadmap with the best free resources where you can learn the essential skills in this field.


๐Ÿ”ข Step 1: Strengthen your math and statistics!

โœ๏ธ The foundation of learning data science is mathematics, linear algebra, statistics, and probability. Topics you should master:

โœ… Linear algebra: matrices, vectors, eigenvalues.

๐Ÿ”— Course: MIT 18.06 Linear Algebra


โœ… Calculus: derivative, integral, optimization.

๐Ÿ”— Course: MIT Single Variable Calculus


โœ… Statistics and probability: Bayes' theorem, hypothesis testing.

๐Ÿ”— Course: Statistics 110

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๐Ÿ”ข Step 2: Learn to code.

โœ๏ธ Learn Python and become proficient in coding. The most important topics you need to master are:

โœ… Python: Pandas, NumPy, Matplotlib libraries

๐Ÿ”— Course: FreeCodeCamp Python Course

โœ… SQL language: Join commands, Window functions, query optimization.

๐Ÿ”— Course: Stanford SQL Course

โœ… Data structures and algorithms: arrays, linked lists, trees.

๐Ÿ”— Course: MIT Introduction to Algorithms

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๐Ÿ”ข Step 3: Clean and visualize data

โœ๏ธ Learn how to process and clean data and then create an engaging story from it!

โœ… Data cleaning: Working with missing values โ€‹โ€‹and detecting outliers.

๐Ÿ”— Course: Data Cleaning

โœ… Data visualization: Matplotlib, Seaborn, Tableau

๐Ÿ”— Course: Data Visualization Tutorial

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๐Ÿ”ข Step 4: Learn Machine Learning

โœ๏ธ It's time to enter the exciting world of machine learning! You should know these topics:

โœ… Supervised learning: regression, classification.

โœ… Unsupervised learning: clustering, PCA, anomaly detection.

โœ… Deep learning: neural networks, CNN, RNN


๐Ÿ”— Course: CS229: Machine Learning

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๐Ÿ”ข
Step 5: Working with Big Data and Cloud Technologies

โœ๏ธ If you're going to work in the real world, you need to know how to work with Big Data and cloud computing.

โœ… Big Data Tools: Hadoop, Spark, Dask

โœ… Cloud platforms: AWS, GCP, Azure

๐Ÿ”— Course: Data Engineering

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๐Ÿ”ข Step 6: Do real projects!

โœ๏ธ Enough theory, it's time to get coding! Do real projects and build a strong portfolio.

โœ… Kaggle competitions: solving real-world challenges.

โœ… End-to-End projects: data collection, modeling, implementation.

โœ… GitHub: Publish your projects on GitHub.

๐Ÿ”— Platform: Kaggle๐Ÿ”— Platform: ods.ai

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๐Ÿ”ข Step 7: Learn MLOps and deploy models

โœ๏ธ Machine learning is not just about building a model! You need to learn how to deploy and monitor a model.

โœ… MLOps training: model versioning, monitoring, model retraining.

โœ… Deployment models: Flask, FastAPI, Docker

๐Ÿ”— Course: Stanford MLOps Course

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๐Ÿ”ข Step 8: Stay up to date and network

โœ๏ธ Data science is changing every day, so it is necessary to update yourself every day and stay in regular contact with experienced people and experts in this field.

โœ… Read scientific articles: arXiv, Google Scholar

โœ… Connect with the data community:

๐Ÿ”— Site: Papers with code
๐Ÿ”— Site: AI Research at Google


#ArtificialIntelligence #AI #MachineLearning #LargeLanguageModels #LLMs #DeepLearning #NLP #NaturalLanguageProcessing #AIResearch #TechBooks #AIApplications #DataScience #FutureOfAI #AIEducation #LearnAI #TechInnovation #AIethics #GPT #BERT #T5 #AIBook #data
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๐Ÿ—„๏ธ ๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฆ๐—ค๐—Ÿ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿš€

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Do not forget to React โค๏ธ to this message for more content like this

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๐—”๐—œ ๐—ฎ๐—ป๐—ฑ ๐— ๐—Ÿ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ ๐—ฏ๐˜† ๐—–๐—–๐—˜, ๐—œ๐—œ๐—ง ๐— ๐—ฎ๐—ป๐—ฑ๐—ถ๐Ÿ˜

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โœ… Programming Languages, Libraries & Tools Every Tech Field Uses ๐Ÿ‘จโ€๐Ÿ’ป๐Ÿš€

๐Ÿง  DATA SCIENCE & MACHINE LEARNING
1. Python โ†’ Pandas, NumPy, TensorFlow, PyTorch
2. R โ†’ ggplot2, dplyr, caret
3. SQL โ†’ PostgreSQL, MySQL
4. Julia โ†’ Flux, Pluto

๐Ÿค– ARTIFICIAL INTELLIGENCE
1. Python โ†’ Keras, OpenCV, LangChain
2. C++ โ†’ OpenCV, CUDA
3. Java โ†’ Deeplearning4j

๐ŸŒ WEB DEVELOPMENT
1. JavaScript โ†’ React, Node.js, Express.js
2. TypeScript โ†’ Next.js, Angular
3. PHP โ†’ Laravel
4. Python โ†’ Django, Flask

๐Ÿ“ฑ APP DEVELOPMENT
1. Kotlin โ†’ Android SDK, Jetpack Compose
2. Swift โ†’ SwiftUI, UIKit
3. Dart โ†’ Flutter
4. JavaScript โ†’ React Native

๐ŸŽฎ GAME DEVELOPMENT
1. C++ โ†’ Unreal Engine
2. C# โ†’ Unity
3. Lua โ†’ Roblox Studio
4. Python โ†’ Pygame

๐Ÿ” CYBER SECURITY
1. Python โ†’ Scapy, Requests
2. Bash โ†’ Linux Tools
3. PowerShell โ†’ Windows Automation
4. Go โ†’ Networking Tools

โ˜๏ธ CLOUD & DEVOPS
1. Go โ†’ Docker, Kubernetes
2. Python โ†’ Ansible, Boto3
3. Shell Script โ†’ Linux Automation
4. YAML โ†’ CI/CD Pipelines

๐Ÿ’ฌ Tap โค๏ธ if this helped you!
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๐Ÿš€ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—๐—ผ๐—ฏ-๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—ถ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐—”๐—œ ๐˜„๐—ถ๐˜๐—ต ๐—œ๐—ป๐—ฑ๐˜‚๐˜€๐˜๐—ฟ๐˜† ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐˜๐˜€! ๐Ÿ“Š

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SQL From Basic to Advanced level

Basic SQL is ONLY 7 commands:
- SELECT
- FROM
- WHERE (also use SQL comparison operators such as =, <=, >=, <> etc.)
- ORDER BY
- Aggregate functions such as SUM, AVERAGE, COUNT etc.
- GROUP BY
- CREATE, INSERT, DELETE, etc.
You can do all this in just one morning.

Once you know these, take the next step and learn commands like:
- LEFT JOIN
- INNER JOIN
- LIKE
- IN
- CASE WHEN
- HAVING (undertstand how it's different from GROUP BY)
- UNION ALL
This should take another day.

Once both basic and intermediate are done, start learning more advanced SQL concepts such as:
- Subqueries (when to use subqueries vs CTE?)
- CTEs (WITH AS)
- Stored Procedures
- Triggers
- Window functions (LEAD, LAG, PARTITION BY, RANK, DENSE RANK)
These can be done in a couple of days.
Learning these concepts is NOT hard at all

- what takes time is practice and knowing what command to use when. How do you master that?
- First, create a basic SQL project
- Then, work on an intermediate SQL project (search online) -

Lastly, create something advanced on SQL with many CTEs, subqueries, stored procedures and triggers etc.

This is ALL you need to become a badass in SQL, and trust me when I say this, it is not rocket science. It's just logic.

Remember that practice is the key here. It will be more clear and perfect with the continous practice

Best telegram channel to learn SQL: https://t.me/sqlanalyst

Data Analyst Jobs๐Ÿ‘‡
https://t.me/jobs_SQL

Join @free4unow_backup for more free resources.

Like this post if it helps ๐Ÿ˜„โค๏ธ

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
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