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Coding Projects

Coding Projects

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Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data

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Coding Projects (@programming_experts) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 67 949 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 912-o'rinni va Hindiston mintaqasida 4 646-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 67 949 obunachiga ega bo‘ldi.

05 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 46 ga, so‘nggi 24 soatda esa 11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 3.29% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.01% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 234 marta ko‘riladi; birinchi sutkada odatda 685 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent |--, algorithm, array, framework, javascript kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 06 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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67 949
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Postlar arxiv
03 Quote Generator.zip1181.85 MB

02 Developer Setup.zip391.90 MB

01 Introduction.zip261.68 MB

🔰 JavaScript Web Projects: 20 Projects to Build Your Portfolio ⏱ 33 Hours 📦 236 Lessons This course is a comprehensive vide
🔰 JavaScript Web Projects: 20 Projects to Build Your Portfolio ⏱ 33 Hours 📦 236 Lessons This course is a comprehensive video tutorial package for building web-based projects in HTML5, CSS3, and JavaScript; This tutorial is specifically designed to build and complete your resume as a JavaScript Developer; JavaScript is a programming language that, along with HTML and CSS , is used to build websites and web applications. JavaScript has several versions, in this tutorial, the updated versions of ES6, ES7, ES8, ES9, ES10 are taught. Taught by: Jacinto Wong, Andrei Neagoie Download Full Course: https://t.me/Programming_experts

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Python CUI project

+3
online-shopping-website-in-php.zip6.20 MB

Computer Vision Projects with PyTorch Akshay Kulkarni, 2022

Node.js Design Patterns - Second Edition #Nodejs #DesignPattern #JavaScript @computer_books

Python Data Structures Oswald Campesato, 2023 👇👇 https://t.me/programming_guide/550?single

Voice Recorder Project 💻

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Front-End Development Projects with Vue.js - 2020.epub11.99 MB

10 Public APIs you can use for your next project 🌍 http://restcountries.com - Country data API 🌱 http://trefle.io - Plants data API 🚀http://api.nasa.gov - Space-related API 🎵 http://developer.spotify.com - Music data API 📰 http://newsapi.org - Access news articles 🌅 http://sunrise-sunset.org/api - Sunrise and sunset times API 🐲 http://pokeapi.co - Pokémon data API 🎥 http://omdbapi.com - Movie database API 🐈 http://catfact.ninja - Cat facts API 🐶 http://thedogapi.com - Dog picture API

Top 10 Python Project Ideas 💡
Top 10 Python Project Ideas 💡

book.pdf8.89 MB

Probability, Statistics and Estimation (2021) 👇👇👇👇👇

Here we have compiled a list of 40+ cheat sheets that cover a wide range of topics essential for you. 👇 1. HTML & CSS :- htmlcheatsheet.com 2. JavaScript :- https://lnkd.in/dfSvFuhM 3. Jquery :- https://lnkd.in/dcvy6kmQ 4. Bootstrap 5 :- https://lnkd.in/dNZ6qdBh 5. Tailwind CSS :- https://lnkd.in/d_T5q5Tx 6. React :- https://t.me/Programming_experts/230 7. Python :- https://t.me/pythondevelopersindia/99 8. MongoDB :- https://lnkd.in/dBXxCQ43 9. SQL :- https://t.me/sqlspecialist/222 10. Nodejs :- https://lnkd.in/dwry8BKH 11. Expressjs :- https://lnkd.in/d3BMMwem 12. Django :- https://lnkd.in/dYWQKZnT 13. PHP :- https://quickref.me/php 14. Google Dork :- https://lnkd.in/dKej3-42 15. Linux :- https://lnkd.in/dCgH_qUq 16. Git :- https://lnkd.in/djf9Wc98 17. VSCode :- https://quickref.me/vscode 18. PC Keyboard :- http://bit.ly/3luF73K 19. Data Structures and Algorithms :- https://lnkd.in/d75ijyr3 20. DSA Practice :- https://lnkd.in/dDc6SaR8 21. Data Science :- https://lnkd.in/dHaxPYYA 22. Flask :- https://lnkd.in/dkUyWHqR 23. CCNA :- https://lnkd.in/dE_yD6ny 24. Cloud Computing :- https://lnkd.in/d9vggegr 25. Machine Learning :- https://t.me/learndataanalysis/29 26. Windows Command :- https://lnkd.in/dAMeCywP 27. Computer Basics :- https://lnkd.in/d9yaNaWN 28. MySQL :- https://lnkd.in/d7iJjSpQ 29. PostgreSQL :- https://lnkd.in/dDHQkk5f 30. MSExcel :- https://bit.ly/3Jz0dpG 31. MSWord :- https://lnkd.in/dAX4FGkR 32. Java :- https://lnkd.in/dRe98iSB 33. Cryptography :- https://lnkd.in/dYvRHAH9 34. C++ :- https://lnkd.in/d4GjE2kd 35. C :- https://lnkd.in/diuHU72d 36. Resume Creation :- https://bit.ly/3JA3KnJ 37. ChatGPT :- https://lnkd.in/dsK37bSj 38. Docker :- https://lnkd.in/dNVJxYNa 39. Gmail :- bit.ly/3JX68pR 40. AngularJS :- bit.ly/3yYY0ik 41. Atom Text Editor :- bit.ly/40oJFY9 42. R Programming :- bit.ly/3Jysq00

Practice projects to consider: 1. Implement a basic search engine: Read a set of documents and build an index of keywords. Then, implement a search function that returns a list of documents that match the query. 2. Build a recommendation system: Read a set of user-item interactions and build a recommendation system that suggests items to users based on their past behavior. 3. Create a data analysis tool: Read a large dataset and implement a tool that performs various analyses, such as calculating summary statistics, visualizing distributions, and identifying patterns and correlations. 4. Implement a graph algorithm: Study a graph algorithm such as Dijkstra's shortest path algorithm, and implement it in Python. Then, test it on real-world graphs to see how it performs.

Mastering Transformers Savaş Yıldırım, 2021

Learn React_ JSX Cheatsheet _ Codecademy.pdf2.42 KB

Advanced Data Structures and Algorithms Abirami A., 2023