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Coding Learning

Coding Learning

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Ko'proq ko'rsatish

📈 Telegram kanali Coding Learning analitikasi

Coding Learning (@codingdrive) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 454 obunachidan iborat bo'lib, Taʼlim toifasida 14 774-o'rinni va Hindiston mintaqasida 29 947-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 13 454 obunachiga ega bo‘ldi.

27 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 440 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 16.81% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 259 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 8 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent implementation, llm, dive, autogen, structure kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
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Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

13 454
Obunachilar
+1124 soatlar
+667 kunlar
+44030 kunlar
Postlar arxiv
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MERN STACK ROADMAP FOR BEGINNERS 2024 FRONTEND
HTML: ELEMENTS, TAGS, FORMS, SEMANTICS CSS: SELECTORS, BOX MODEL, LAYOUT (FLEXBOX, GRID), RESPONSIVE DESIGN BASIC WEB DEVELOPMENT TOOLS: VS CODE, CHROME DEVTOOLS JAVASCRIPT (ES6+) VARIABLES AND DATA TYPES FUNCTIONS AND SCOPE ARRAYS AND OBJECTS PROMISES AND ASYNC/AWAIT DOM MANIPULATION EVENT HANDLING FRONTEND DEVELOPMENT WITH REACT BASICS OF REACT JSX AND COMPONENTS PROPS AND STATE COMPONENT LIFECYCLE METHODS FUNCTIONAL VS. CLASS COMPONENTS EVENT HANDLING IN REACT ADVANCED REACT HOOKS: USESTATE, USEEFFECT, USECONTEXT, CUSTOM HOOKS REACT ROUTER: NAVIGATION AND ROUTING STATE MANAGEMENT: CONTEXT API, REDUX PERFORMANCE OPTIMIZATION: REACT.MEMO, USEMEMO, USECALLBACK UI LIBRARIES CSS-IN-JS: STYLED-COMPONENTS, EMOTION COMPONENT LIBRARIES: MATERIAL-UI, ANT DESIGN
BACKEND
BASICS OF NODE.JS INTRODUCTION TO NODE.JS NPM: PACKAGE MANAGEMENT MODULES AND REQUIRE FILE SYSTEM OPERATIONS 4. EXPRESS.JS SETTING UP AN EXPRESS SERVER MIDDLEWARE ROUTING HANDLING REQUESTS AND RESPONSES ERROR HANDLING DATABASE MANAGEMENT WITH MONGODB BASICS OF MONGODB NOSQL VS. SQL DATABASES CRUD OPERATIONS DATA MODELING AND SCHEMAS INDEXES AND PERFORMANCE OPTIMIZATION CONNECTING FRONTEND AND BACKEND RESTFUL APIS DESIGNING RESTFUL ENDPOINTS CONSUMING APIS WITH FETCH/AXIOS AUTHENTICATION AND AUTHORIZATION (JWT, OAUTH) ERROR HANDLING AND STATUS CODES.
FULL-STACK DEVELOPMENT
SETTING UP THE PROJECT STRUCTURE CONNECTING REACT FRONTEND WITH EXPRESS BACKEND STATE MANAGEMENT IN FULL-STACK APPS
PROJECTS
BEGINNER PROJECTS TO-DO LIST APP SIMPLE BLOG WEATHER APP INTERMEDIATE PROJECTS E-COMMERCE SITE SOCIAL MEDIA APP REAL-TIME CHAT APPLICATION ADVANCED PROJECTS FULL-FEATURED CMS PROJECT MANAGEMENT TOOL COLLABORATIVE CODING PLATFORM.

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Backup this maybe I will delete this Very soon

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Python framework Django 👩‍💻 #python #django

👩‍💻 Python framework Django 🎓 What will you learn? You will learn how to layout web pages, write and optimize web applicat
👩‍💻 Python framework Django 🎓 What will you learn? You will learn how to layout web pages, write and optimize web applications on Django, continue to develop in the IT industry and become a more sought-after developer. 🗣️ Fully re-recorded lessons in FullHD Language: English with subtitles

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Repost from Coding Courses
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Come on live stream guys

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08 - [Optional] Flask Crash Course

07 - Appendix - Python Crash Course

06 - Deploying in another open-course cloud

05 - Deploy Web App in Heroku Cloud

04 - Face Recognition Project (Integrating HTML Model to Flask App)

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 04

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 03

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 02

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 01