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

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📈 Аналитический обзор Telegram-канала Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Канал Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 56 135 подписчиков, занимая 2 283 место в категории Технологии и приложения и 6 090 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 56 135 подписчиков.

Согласно последним данным от 30 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -71, а за последние 24 часа — 21, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.76%. В первые 24 часа после публикации контент обычно набирает 0.70% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 989 просмотров. В течение первых суток публикация набирает 394 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как algorithm, structure, stack, javascript, programming.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Благодаря высокой частоте обновлений (последние данные получены 31 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

56 135
Подписчики
+2124 часа
+27 дней
-7130 день
Архив постов
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Here's a 30-day roadmap to learn C++ up to an intermediate level, along with project ideas: Week 1: C++ Basics *Day 1-2:* - Day 1: Install a C++ compiler (e.g., Visual Studio, Code::Blocks, or g++) and write your first "Hello, World!" program. - Day 2: Understand C++ syntax, data types, and variables. *Day 3-4:* - Day 3: Learn about basic input and output operations in C++ using cin and cout. - Day 4: Study operators and perform arithmetic and logical operations. *Day 5-7:* - Day 5: Explore control flow with if-else statements and loops (for, while, do-while). - Day 6: Understand switch statements and how to use them for menu-driven programs. - Day 7: Practice writing small programs involving conditions and loops. Week 2: Functions and Object-Oriented Programming *Day 8-9:* - Day 8: Learn about functions (methods) in C++ and how to define your own functions. - Day 9: Study function parameters, return types, and function overloading. *Day 10-12:* - Day 10: Understand the basics of object-oriented programming (OOP) in C++, including classes and objects. - Day 11: Dive into constructors, destructors, and operator overloading. - Day 12: Explore encapsulation, inheritance, and polymorphism. *Day 13-14:* - Day 13: Study C++ namespaces and access specifiers (public, private, protected). - Day 14: Practice creating classes and objects for real-world applications. Week 3: Data Structures and Standard Template Library (STL) *Day 15-17:* - Day 15: Dive into C++ arrays and understand their usage. - Day 16: Explore the Standard Template Library (STL) and containers like vectors and lists. - Day 17: Learn about iterating through containers using iterators. *Day 18-19:* - Day 18: Study other STL components like maps, sets, and queues. - Day 19: Understand when and how to use different STL containers in C++. *Day 20-21:* - Day 20: Explore exception handling in C++ and how to handle runtime errors. - Day 21: Practice working with try-catch blocks and handling exceptions effectively. Week 4: Intermediate Topics and Projects *Day 22-23:* - Day 22: Learn about file handling in C++, including reading and writing files. - Day 23: Create a small project that involves file operations, like a text-based note-taking application. *Day 24-26:* - Day 24: Study C++ pointers, references, and dynamic memory allocation. - Day 25: Explore more advanced C++ topics like multithreading or creating a simple game using libraries like SDL or SFML. - Day 26: Work on a project that involves pointers, references, or multithreading. *Day 27-28:* - Day 27: Explore more advanced C++ libraries and frameworks that interest you (e.g., Boost or Qt). - Day 28: Work on a more complex project that combines your knowledge from the past weeks. For example, create a small database application using SQLite and C++. *Day 29-30:* - Day 29: Review and revisit any topics you found challenging. - Day 30: Continue building projects and exploring areas of C++ that interest you. Remember to practice coding daily, and don't hesitate to explore additional resources, online tutorials, and forums to enhance your C++ skills. Good luck with your C++ learning journey! ENJOY LEARNING 👍👍

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 - 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 𝗧𝗲𝗰𝗵 𝗝𝗼𝗯😍 Curriculum designed and taught by Alumn
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5 Easy Projects to Build as a Beginner (No AI degree needed. Just curiosity & coffee.) ❯ 1. Calculator App  • Learn logic building  • Try it in Python, JavaScript or C++  • Bonus: Add GUI using Tkinter or HTML/CSS ❯ 2. Quiz App (with Score Tracker)  • Build a fun MCQ quiz  • Use basic conditions, loops, and arrays  • Add a timer for extra challenge! ❯ 3. Rock, Paper, Scissors Game  • Classic game using random choice  • Great to practice conditions and user input  • Optional: Add a scoreboard ❯ 4. Currency Converter  • Convert from USD to INR, EUR, etc.  • Use basic math or try fetching live rates via API  • Build a mini web app for it! ❯ 5. To-Do List App  • Create, read, update, delete tasks  • Perfect for learning arrays and functions  • Bonus: Add local storage (in JS) or file saving (in Python) React with ❤️ for the source code Python Projects: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502 ENJOY LEARNING 👍👍

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Top Libraries & Frameworks by Language 📚💻 ❯ Python  • Pandas ➟ Data Analysis  • NumPy ➟ Math & Arrays  • Scikit-learn ➟ Machine Learning  • TensorFlow / PyTorch ➟ Deep Learning  • Flask / Django ➟ Web Development  • OpenCV ➟ Image Processing ❯ JavaScript / TypeScript  • React ➟ UI Development  • Vue ➟ Lightweight SPAs  • Angular ➟ Enterprise Apps  • Next.js ➟ Full-Stack Web  • Express ➟ Backend APIs  • Three.js ➟ 3D Web Graphics ❯ Java  • Spring Boot ➟ Microservices  • Hibernate ➟ ORM  • Apache Maven ➟ Build Automation  • Apache Kafka ➟ Real-Time Data ❯ C++  • Boost ➟ Utility Libraries  • Qt ➟ GUI Applications  • Unreal Engine ➟ Game Development ❯ C#  • .NET / ASP.NET ➟ Web Apps  • Unity ➟ Game Development  • Entity Framework ➟ ORM ❯ R  • ggplot2 ➟ Data Visualization  • dplyr ➟ Data Manipulation  • caret ➟ Machine Learning  • Shiny ➟ Interactive Dashboards ❯ PHP  • Laravel ➟ Full-Stack Web  • Symfony ➟ Web Framework  • PHPUnit ➟ Testing ❯ Go (Golang)  • Gin ➟ Web Framework  • Gorilla ➟ Web Toolkit  • GORM ➟ ORM for Go ❯ Rust  • Actix ➟ Web Framework  • Rocket ➟ Web Development  • Tokio ➟ Async Runtime Coding Resources: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17 React with ❤️ for more useful content

𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄? 𝗦𝘁𝗮𝗿𝘁 𝗛𝗲𝗿𝗲!😍 Preparing for a Power BI interview? This reel is your ultimate sec
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Roadmap to learn Network Engineering Here's a comprehensive guide to mastering the essential skills and knowledge areas: 1. Networking Fundamentals: OSI model, TCP/IP model, and networking devices (routers, switches, hubs, bridges). 2. Network Protocols: Core protocols (TCP, UDP, IP), application layer protocols (HTTP, HTTPS, FTP, DNS, DHCP), and additional protocols (SNMP, ICMP, ARP). 3. Routing and Switching: Routing protocols (OSPF, EIGRP, BGP), switching concepts (VLANs, STP, trunking), and routing techniques. 4. Network Design and Architecture: Network topologies (star, mesh, bus, ring), design principles (redundancy, scalability, reliability), and network types (LAN, WAN, MAN, WLAN, VLAN). 5. Network Security: Firewalls, VPNs, ACLs, security protocols (SSL/TLS, IPSec), and best practices. 6. Wireless Networking: Wireless standards (IEEE 802.11a/b/g/n/ac/ax), wireless security (WPA2, WPA3), and network design. 7. Cloud Networking: Cloud services (VPC, Direct Connect, VPN), hybrid cloud Networking, and cloud providers (AWS, Azure, Google Cloud). 8. Network Automation and Scripting: Network programmability, automation techniques, and scripting (Python, Bash, PowerShell). 9. Monitoring and Troubleshooting: Network monitoring, troubleshooting techniques (ping, traceroute, network diagrams), and performance monitoring (NetFlow, SNMP). 10. Virtualization and Container Networking: Virtual network functions (NFV), software-defined networking (SDN), and container networking (Docker, Kubernetes). 11. Certifications: Entry-level (CompTIA Network+, Cisco CCNA), professional-level (Cisco CCNP, Juniper JNCIP), advanced-level (Cisco CCIE, VMware VCP-NV).

Repost from Data Analytics
𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝘄𝗶𝘁𝗵 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗟𝗲𝗮
𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝘄𝗶𝘁𝗵 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵𝘀😍 Want to level up your Data Analytics & Machine Learning game—for FREE?🔥 These official Microsoft learning paths are your shortcut to building practical, job-ready skills. 🧠💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4cIU9cc Because your future job in data isn’t going to wait. Why should you? 🔥

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