Endi mavjud! Telegram Tadqiqoti 2025 β yilning asosiy insaytlari 
TCW - AI & Coding Resources ππ¨βπ»
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β¨ Latest AI Tools β Stay ahead with cutting-edge AI innovations π€―β‘ βΉοΈ Free Coding Cheat Sheets π» π Free Courses & Tutorials π β‘Use the Get Code Button to download the code π© DM @saiid211 for business inquiries https://telega.io/c/the_coding_wizard
Ko'proq ko'rsatishπ Telegram kanali TCW - AI & Coding Resources ππ¨βπ» analitikasi
TCW - AI & Coding Resources ππ¨βπ» (@the_coding_wizard) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 188 244 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 582-o'rinni va Hindiston mintaqasida 960-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 188 244 obunachiga ega boβldi.
13 Iyun, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -2 060 ga, soβnggi 24 soatda esa -60 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 6.83% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.13% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 12 866 marta koβriladi; birinchi sutkada odatda 4 011 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 17 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent the_coding_wizard, wizard_project, mi6, canva, christmas kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
ββ¨ Latest AI Tools β Stay ahead with cutting-edge AI innovations π€―β‘
βΉοΈ Free Coding Cheat Sheets π»
π Free Courses & Tutorials π
β‘Use the Get Code Button to download the code
π© DM @saiid211 for business inquiries
https://telega.io/c/the_coding_w...β
Yuqori yangilanish chastotasi (oxirgi maβlumot 14 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
188 244
Obunachilar
-6024 soatlar
-5307 kunlar
-2 06030 kunlar
Postlar arxiv
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πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π° Python Detailed Roadmap π
π 1. Basics
βΌ Data Types & Variables
βΌ Operators & Expressions
βΌ Control Flow (if, loops)
π 2. Functions & Modules
βΌ Defining Functions
βΌ Lambda Functions
βΌ Importing & Creating Modules
π 3. File Handling
βΌ Reading & Writing Files
βΌ Working with CSV & JSON
π 4. Object-Oriented Programming (OOP)
βΌ Classes & Objects
βΌ Inheritance & Polymorphism
βΌ Encapsulation
π 5. Exception Handling
βΌ Try-Except Blocks
βΌ Custom Exceptions
π 6. Advanced Python Concepts
βΌ List & Dictionary Comprehensions
βΌ Generators & Iterators
βΌ Decorators
π 7. Essential Libraries
βΌ NumPy (Arrays & Computations)
βΌ Pandas (Data Analysis)
βΌ Matplotlib & Seaborn (Visualization)
π 8. Web Development & APIs
βΌ Web Scraping (BeautifulSoup, Scrapy)
βΌ API Integration (Requests)
βΌ Flask & Django (Backend Development)
π 9. Automation & Scripting
βΌ Automating Tasks with Python
βΌ Working with Selenium & PyAutoGUI
π 10. Data Science & Machine Learning
βΌ Data Cleaning & Preprocessing
βΌ Scikit-Learn (ML Algorithms)
βΌ TensorFlow & PyTorch (Deep Learning)
π 11. Projects
βΌ Build Real-World Applications
βΌ Showcase on GitHub
π 12. β
Apply for Jobs
βΌ Strengthen Resume & Portfolio
βΌ Prepare for Technical Interviews
Like for more β€οΈπͺ
Animated Logout Button π€©
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π Roadmap to Become a Cloud Engineer
π Fundamentals & Core Skills
ββπ Master Programming (Python, Bash, etc.) & OOP
βββπ Learn Networking & Operating Systems
ββββπ Get comfortable with Linux & Command Line Tools
π Cloud Platforms
ββπ Get familiar with AWS, Azure, or GCP
βββπ Understand core services (Compute, Storage, Networking)
ββββπ Hands-on labs & free tier projects
π DevOps & Automation
ββπ Learn CI/CD (Jenkins, GitHub Actions)
βββπ Containerization (Docker, Kubernetes)
ββββπ Automate deployments & monitoring
π Infrastructure as Code (IaC)
ββπ Master tools like Terraform & CloudFormation
βββπ Learn versioning & automation of infrastructure
ββββπ Build repeatable, scalable cloud architectures
π Cloud Security & Best Practices
ββπ Understand Identity & Access Management (IAM)
βββπ Learn security best practices for the cloud
ββββπ Implement monitoring & incident response
π Projects & Real-World Experience
ββπ Build end-to-end cloud solutions
βββπ Deploy scalable web apps
ββββπ Document & share your projects on GitHub
π Certifications & Continuous Learning
ββπ Earn cloud certifications (AWS, Azure, GCP)
βββπ Attend webinars, courses & community meetups
ββββπ Stay updated with emerging trends
β
οΈ Get Hired
React β€οΈ for More π¨βπ»
Login & Search Popup π
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π‘ Tired of deployment struggles? Meet JellyFaaS.com β the game-changer for devs! πͺ
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π Freelancers & Devs! Whatβs your biggest challenge when deploying projects? π«
π Roadmap to Become a Machine Learning Engineer π»
π Programming Basics
ββπ Master Python & OOP
βββπ Learn Data Structures & Algorithms
ββββπ Master Git & Version Control
π Mathematics for ML
ββπ Linear Algebra & Calculus
βββπ Probability & Statistics
ββββπ Optimization Techniques
π Data Handling & Processing
ββπ Work with Pandas & NumPy
βββπ Data Cleaning & Preprocessing
ββββπ Feature Engineering & Selection
π Machine Learning Fundamentals
ββπ Understand Supervised & Unsupervised Learning
βββπ Master Scikit-Learn & ML Algorithms
ββββπ Model Training, Evaluation & Tuning
π Deep Learning & Neural Networks
ββπ Learn TensorFlow & PyTorch
βββπ Build & Train Neural Networks
ββββπ Master CNNs, RNNs & Transformers
π ML System Deployment
ββπ Learn Model Deployment (Flask, FastAPI)
βββπ Work with MLOps & Cloud Platforms
ββββπ Deploy Models to Production
π Projects & Real-World Applications
ββπ Build End-to-End ML Projects
βββπ Work on Open-Source Contributions
ββββπ Showcase on GitHub & Kaggle
π Interview Preparation & Job Hunting
ββπ Solve ML Coding Challenges
βββπ Learn System Design for ML
ββββπ Network & Apply for Jobs
β
οΈ Get Hired
React "β€οΈ" for More π¨βπ»
The Cube Code βΉοΈ
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π Roadmap to Master Full-Stack Development π°
π Frontend Development
ββπ Learn HTML, CSS & JavaScript
βββπ Master CSS Frameworks (Bootstrap, Tailwind)
ββββπ Understand JavaScript ES6+ & DOM Manipulation
π Modern Frontend Frameworks
ββπ Learn React.js (or Vue.js, Angular)
βββπ Manage State with Redux, Context API
ββββπ Optimize Performance & SEO (SSR, CSR)
π Backend Development
ββπ Learn Python (Flask, Django) or Node.js (Express.js)
βββπ Work with RESTful APIs & Authentication (JWT, OAuth)
ββββπ Understand Middleware & Database Integration
π Databases & Storage
ββπ SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, Firebase)
βββπ ORM & Query Optimization (SQLAlchemy, Mongoose)
ββββπ Caching & Performance Tuning (Redis, Memcached)
π Version Control & Deployment
ββπ Master Git & GitHub for Collaboration
βββπ Learn CI/CD (GitHub Actions, Jenkins)
ββββπ Deploy on Vercel, Netlify, AWS, or DigitalOcean
π Advanced Topics
ββπ WebSockets & Real-Time Apps (Socket.io, WebRTC)
βββπ GraphQL & API Optimization
ββββπ Microservices & Serverless Architecture
π Full-Stack Projects & Portfolio
ββπ Build & Deploy Full-Stack Applications
βββπ Contribute to Open Source
ββββπ Showcase Work on GitHub & Portfolio
π Interview Preparation & Job Hunting
ββπ Master Full-Stack Coding Challenges
βββπ Prepare for System Design Interviews
ββββπ Network & Apply for Full-Stack Roles
β
Happy Coding! π
React "β€οΈ" for More π¨βπ»
π Roadmap to Master Python Programming π°
π Python Fundamentals
ββπ Learn Syntax, Variables & Data Types
βββπ Master Control Flow & Functions
ββββπ Practice with Simple Projects
π Intermediate Concepts
ββπ Object-Oriented Programming (OOP)
βββπ Work with Modules & Packages
ββββπ Understand Exception Handling & File I/O
π Data Structures & Algorithms
ββπ Lists, Tuples, Dictionaries & Sets
βββπ Algorithms & Problem Solving
ββββπ Master Recursion & Iteration
π Python Libraries & Tools
ββπ Get Comfortable with Pip & Virtual Environments
βββπ Learn NumPy & Pandas for Data Handling
ββββπ Explore Matplotlib & Seaborn for Visualization
π Web Development with Python
ββπ Understand Flask & Django Frameworks
βββπ Build RESTful APIs
ββββπ Integrate Front-End & Back-End
π Advanced Topics
ββπ Concurrency: Threads & Asyncio
βββπ Learn Testing with PyTest
ββββπ Dive into Design Patterns
π Projects & Real-World Applications
ββπ Build Command-Line Tools & Scripts
βββπ Contribute to Open-Source
ββββπ Showcase on GitHub & Portfolio
π Interview Preparation & Job Hunting
ββπ Solve Python Coding Challenges
βββπ Master Data Structures & Algorithms Interviews
ββββπ Network & Apply for Python Roles
β
οΈ Happy Coding
React "β€οΈ" for More π¨βπ»
Login Form π
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π Roadmap to Become a Machine Learning Engineer
π Programming Basics
ββπ Master Python & OOP
βββπ Learn Data Structures & Algorithms
ββββπ Master Git & Version Control
π Mathematics for ML
ββπ Linear Algebra & Calculus
βββπ Probability & Statistics
ββββπ Optimization Techniques
π Data Handling & Processing
ββπ Work with Pandas & NumPy
βββπ Data Cleaning & Preprocessing
ββββπ Feature Engineering & Selection
π Machine Learning Fundamentals
ββπ Understand Supervised & Unsupervised Learning
βββπ Master Scikit-Learn & ML Algorithms
ββββπ Model Training, Evaluation & Tuning
π Deep Learning & Neural Networks
ββπ Learn TensorFlow & PyTorch
βββπ Build & Train Neural Networks
ββββπ Master CNNs, RNNs & Transformers
π ML System Deployment
ββπ Learn Model Deployment (Flask, FastAPI)
βββπ Work with MLOps & Cloud Platforms
ββββπ Deploy Models to Production
π Projects & Real-World Applications
ββπ Build End-to-End ML Projects
βββπ Work on Open-Source Contributions
ββββπ Showcase on GitHub & Kaggle
π Interview Preparation & Job Hunting
ββπ Solve ML Coding Challenges
βββπ Learn System Design for ML
ββββπ Network & Apply for Jobs
β
οΈ Get Hired
React "β€οΈ" for More π¨βπ»
π° Accent color in CSS
This CSS property allows you to customize the highlight color of form controls while preserving their native styling, accessibility, and interactivity.
Rating And Form π
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
Python Roadmap π
π Syntax Basics
βπ Data Structures
ββπ Algorithms
βββπ OOP Concepts
ββββπ Module & Packages
βββββπ Error Handling
ββββββπ File Handling
βββββββπ Networking
ββββββββπ Security
βββββββββπ Do Lab
ββββββββ ββ
Job
React "β€οΈ" For More
Credit Card Animation π³
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π° Chrome's Face Detection API!!
Used in real-time face detection for image processing, security, photo apps, or adding effects on faces in media.
