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Coding Learning

Coding Learning

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πŸ“ˆ Analytical overview of Telegram channel Coding Learning

Channel Coding Learning (@codingdrive) in the English language segment is an active participant. Currently, the community unites 13 454 subscribers, ranking 14 774 in the Education category and 29 947 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 454 subscribers.

According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 440 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 16.81%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 259 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • Thematic interests: Content is focused on key topics such as implementation, llm, dive, autogen, structure.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œBackup”

Thanks to the high frequency of updates (latest data received on 28 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

13 454
Subscribers
+1124 hours
+667 days
+44030 days
Posts Archive
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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.

sticker.webp0.29 KB

Backup this maybe I will delete this Very soon

+7
Python framework Django πŸ‘©β€πŸ’» #python #django

πŸ‘©β€πŸ’» Python framework Django πŸŽ“ What will you learn? You will learn how to layout web pages, write and optimize web applicat
πŸ‘©β€πŸ’» Python framework Django πŸŽ“ 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. πŸ—£οΈ 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