uz
Feedback
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Kanalga Telegramโ€™da oโ€˜tish

Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books analitikasi

Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 56 118 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 374-o'rinni va Hindiston mintaqasida 6 527-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 56 118 obunachiga ega boโ€˜ldi.

10 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 89 ga, soโ€˜nggi 24 soatda esa 1 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 2.65% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.87% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 1 485 marta koโ€˜riladi; birinchi sutkada odatda 488 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 4 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent algorithm, structure, stack, javascript, programming kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œEverything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_dataโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 11 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

56 118
Obunachilar
+124 soatlar
+317 kunlar
+8930 kunlar
Postlar arxiv
๐Ÿ– 8 Super useful HTML tips & tricks that every Developer should know about
+8
๐Ÿ– 8 Super useful HTML tips & tricks that every Developer should know about

๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Whether youโ€™re a student, aspi
๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Whether youโ€™re a student, aspiring data analyst, software enthusiast, or just curious about AI, nowโ€™s the perfect time to dive in. These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/4d0SrTG Enroll for FREE & Get Certified ๐ŸŽ“

Learning DSA wasnโ€™t just about acing interviews, --- it was about thinking better, building faster, and debugging smarter. ๐ŸŽฏ ๐—›๐—ฒ๐—ฟ๐—ฒ ๐—ฎ๐—ฟ๐—ฒ ๐˜๐—ต๐—ฒ ๐Ÿต ๐—ฐ๐—ผ๐—ฟ๐—ฒ ๐—ฝ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐—ป๐˜€ ๐˜๐—ต๐—ฎ๐˜ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฒ๐—ฑ ๐—ต๐—ผ๐˜„ ๐—œ ๐˜€๐—ผ๐—น๐˜ƒ๐—ฒ ๐—ฝ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ๐˜€: โ€ข Sliding Windows โ€ข Two Pointers โ€ข Stack Based Patterns โ€ข Dynamic Programing โ€ข BFS/DFS (Trees & Graphs) โ€ข Merge Intervals โ€ข Backtracking & Subsets โ€ข top-k Elements (Heaps) โ€ข Greedy Techniques ๐Ÿ›ค๏ธ ๐— ๐˜† ๐—ฃ๐—ฎ๐˜๐—ต ๐˜๐—ผ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฆ๐—”: โ€ข Started with basic problems on arrays & strings โ€ข Solved 1-2 problems a day, consistently for 3 months โ€ข Focused more on patterns than individual questions โ€ข Made my own notes, revisited problems I struggled with โ€ข Used visual tools to understand recursion & DP โ€ข Practiced explaining my solutions out loud (like system design reviews) โ€ข Applied patterns in real-world projects (DevOps automation, log parsing, infra tools) ๐Ÿ’ก ๐—Ÿ๐—ผ๐—ผ๐—ธ๐—ถ๐—ป๐—ด ๐—ฏ๐—ฎ๐—ฐ๐—ธ, ๐—ผ๐—ป๐—ฒ ๐˜๐—ต๐—ถ๐—ป๐—ด ๐—ถ๐˜€ ๐—ฐ๐—น๐—ฒ๐—ฎ๐—ฟ: > It's not how many problems you solve, it's how well you can recognize the pattern hiding in each one.

๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ Whether youโ€™re a student, fresher, or professional lo
๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ Whether youโ€™re a student, fresher, or professional looking to upskill โ€” Microsoft has dropped a series of completely free courses to get you started. Learn SQL ,Power BI & More In 2025  ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/42FxnyM Enroll For FREE & Get Certified ๐ŸŽ“

JavaScript (JS) roadmap: 1. Basic Fundamentals:    - Variables, data types, and operators.    - Control structures like loops and conditionals.    - Functions and scope. 2. DOM Manipulation:    - Access and modify HTML and CSS using JavaScript.    - Event handling. 3. Asynchronous Programming:    - Promises and async/await for handling asynchronous operations. 4. ES6 and Modern JavaScript:    - Arrow functions, template literals, and destructuring.    - Modules for code organization.    - Classes for object-oriented programming. 5. Popular Libraries and Frameworks:    - Learn libraries like jQuery or frameworks like React, Angular, or Vue depending on your project needs. 6. Package Management:    - Tools like npm or yarn for managing dependencies. 7. Build Tools:    - Webpack, Babel, and other tools for bundling and transpiling. 8. API Interaction:    - Fetch or Axios for making API requests. 9. State Management (For Frameworks):    - Redux for React, Vuex for Vue, etc. 10. Testing:     - Learn testing frameworks like Jest. 11. Version Control:     - Git for code versioning and collaboration. 12. Continuous Integration (CI) and Deployment:     - Travis CI, Jenkins, or others for automating testing and deployment. 13. Server-Side JavaScript (Optional):     - Node.js for server-side development. 14. Advanced Topics (Optional):     - WebSockets, WebRTC, Progressive Web Apps (PWAs), and more. This roadmap covers the foundational knowledge and key steps in a JavaScript developer's journey. You can explore more deeply into areas that align with your specific goals and projects.

How to stay motivated while learning to code: ๐ŸŽฏ Set small, achievable goals each week โœ… Celebrate every tiny win โ€” progress is progress ๐Ÿงฑ Build projects you're actually excited about ๐Ÿ‘ฅ Join communities or study groups for support โœ๏ธ Keep a coding journal to track your growth ๐Ÿ“š Mix learning with building โ€” apply what you learn ๐ŸŽฎ Turn coding into a game with challenges (like LeetCode, HackerRank) ๐Ÿง˜ Avoid burnout โ€” take breaks when needed ๐Ÿ” Remind yourself why you started โ€” purpose fuels progress Programming Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502 ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

Repost from Data Analyst Jobs
๐—ง๐—ผ๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ง๐—ผ๐—ฑ๐—ฎ๐˜†๐Ÿ˜ 1. Introduction to Data Science 2. PwC Dig
๐—ง๐—ผ๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ง๐—ผ๐—ฑ๐—ฎ๐˜†๐Ÿ˜ 1. Introduction to Data Science 2. PwC Digital Intelligence 3. BCG Generative AI 4. Data Analytics ๐—Ÿ๐—ถ๐—ป๐—ธ:-๐Ÿ‘‡ https://pdlink.in/3WavPct Enroll For FREE & Get Certified ๐ŸŽ“

Complete Python Roadmap ๐Ÿ๐Ÿ‘‡ 1. Introduction to Python - Definition - Purpose - Python Installation - Interpreter vs Compiler 2. Basic Python Syntax - Print Statement - Variables and Data Types - Input and Output - Operators 3. Control Flow - Conditional Statements (if, elif, else) - Loops (for, while) - Break and Continue Statements 4. Data Structures - Lists - Tuples - Sets - Dictionaries 5. Functions - Function Definition - Parameters and Return Values - Lambda Functions 6. File Handling - Reading from and Writing to Files - Handling Exceptions 7. Modules and Packages - Importing Modules - Creating Packages 8. Object-Oriented Programming (OOP) - Classes and Objects - Inheritance - Polymorphism - Encapsulation - Abstraction 9. Error Handling - Try, Except Blocks - Custom Exceptions 10. Advanced Data Structures - List Comprehensions - Generators - Collections Module 11. Decorators and Generators - Function Decorators - Generator Functions 12. Working with APIs - Making HTTP Requests - JSON Handling 13. Database Interaction with Python - Connecting to Databases - CRUD Operations 14. Web Development with Flask/Django - Flask/Django Setup - Routing and Templates 15. Asynchronous Programming - Async/Await - Asyncio Library 16. Testing in Python - Unit Testing - Testing Frameworks (e.g., pytest) 17. Pythonic Code - PEP 8 Style Guide - Code Readability 18. Version Control (Git) - Basic Commands - Collaborative Development 19. Data Science Libraries - NumPy - Pandas - Matplotlib 20. Machine Learning Basics - Scikit-Learn - Model Training and Evaluation 21. Web Scraping - BeautifulSoup - Scrapy 22. RESTful API Development - Flask/Django Rest Framework 23. CI/CD Basics - Continuous Integration - Continuous Deployment 24. Deployment - Deploying Python Applications - Hosting Platforms (e.g., Heroku) 25. Security Best Practices - Input Validation - Handling Sensitive Data 26. Code Documentation - Docstrings - Generating Documentation 27. Community and Collaboration - Open Source Contributions - Forums and Conferences Resources to Learn Python: 1. Free Course - https://www.freecodecamp.org/learn/data-analysis-with-python/ 2. Projects - t.me/pythonfreebootcamp/177 - t.me/pythonspecialist/90 3. Books & Notes - https://t.me/dsabooks/99 - https://t.me/dsabooks/101 4. Python Interview Preparation - https://t.me/PythonInterviews - t.me/DataAnalystInterview/63 Join @free4unow_backup for more Python resources. Like this post if you want more content like this ๐Ÿ˜„โค๏ธ ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐—ป ๐Ÿฏ๐Ÿฌ ๐——๐—ฎ๐˜†๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€๐Ÿ˜ Master SQL in 30 Days โ€” With
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐—ป ๐Ÿฏ๐Ÿฌ ๐——๐—ฎ๐˜†๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€๐Ÿ˜ Master SQL in 30 Days โ€” Without Spending a Single Rupee!๐Ÿ’ฐ If youโ€™re serious about data analysis, backend development, or becoming job-ready in tech, SQL is a must-have skill๐Ÿ“Š๐Ÿ‘จโ€๐Ÿ’ป ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3GyIbpL You donโ€™t need a fancy degree to master SQLโ€”just this roadmap and daily consistency. Start slow, stay steady, and finish strong.โœ…๏ธ

Java Basics every beginner should learn to build a strong foundation: 1. Hello World & Setup Install JDK and an IDE (like IntelliJ or Eclipse) Write your first program: public class HelloWorld 2. Data Types & Variables Primitive types: int, double, char, boolean Non-primitive types: String, Arrays, Objects Type casting (implicit & explicit) 3. Operators Arithmetic: + - * / % Comparison: == != > < >= <= Logical: && || ! 4. Control Flow If, else if, else Switch-case Loops: for, while, do-while break and continue 5. Functions (Methods) Syntax: public static returnType methodName(params) Method overloading Return types & parameter passing 6. Object-Oriented Programming (OOP) Classes & Objects this keyword Constructors (default & parameterized) 7. OOP Concepts Encapsulation (private variables + getters/setters) Inheritance (extends keyword) Polymorphism (method overriding) Abstraction (abstract classes & interfaces) 8. Arrays & ArrayList Declaring and iterating arrays ArrayList methods: add, remove, get, size Multidimensional arrays 9. Exception Handling Try-catch-finally blocks throw and throws Custom exceptions 10. Basic Input/Output Scanner class for user input System.out.println() for output Free Java Resources: https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

Repost from Data Analytics
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—๐—ผ๐—ฏ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ If
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐—ป๐—ฑ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—๐—ผ๐—ฏ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ If youโ€™re serious about becoming a Data Analyst in 2025, you need more than just basic theory๐Ÿ‘จโ€๐Ÿ’ป You must master skills that recruiters actually look for โ€” skills that make you job-ready, confident, and in-demand๐Ÿ”ฅ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3RCPmiY All you need is dedication, practice, and the right resources โ€” and Iโ€™ve got you covered!โœ…๏ธ

๐Ÿช™ +30.560$ with 300$ in a month of trading! We can teach you how to earn! FREE! It was a challenge - a marathon 300$ to 30.0
๐Ÿช™ +30.560$ with 300$ in a month of trading! We can teach you how to earn! FREE! It was a challenge - a marathon 300$ to 30.000$ on trading, together with Lisa! What is the essence of earning?: "Analyze and open a deal on the exchange, knowing where the currency rate will go. Lisa trades every day and posts signals on her channel for free." ๐Ÿ”นStart: $150 ๐Ÿ”น Goal: $20,000 ๐Ÿ”นPeriod: 1.5 months. Join and get started, there will be no second chance๐Ÿ‘‡ https://t.me/+OqKrSPfhKI9jMTUx