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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

رفتن به کانال در Telegram

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

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📈 تحلیل کانال تلگرام Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

کانال Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 56 135 مشترک است و جایگاه 2 283 را در دسته فناوری و برنامه‌ها و رتبه 6 090 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 56 135 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 30 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -71 و در ۲۴ ساعت گذشته برابر 21 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 1.76% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.70% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 989 بازدید دریافت می‌کند. در اولین روز معمولاً 394 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 2 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند algorithm, structure, stack, javascript, programming تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 31 اوت, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

56 135
مشترکین
+2124 ساعت
+27 روز
-7130 روز
آرشیو پست ها
Free Machine Learning Session for Indian Users 👇👇 https://forms.gle/PUK3pekwRnfE9p5r6 ✅ Understand core ML concepts (no jargon!) ✅ Build your first ML model in just 10 minutes ✅ Quiz + Certificate of Completion ✅ Project files for hands-on practice

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
𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 - 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗗𝗿𝗲𝗮𝗺 𝗧𝗲𝗰𝗵 𝗝𝗼𝗯😍 Curriculum designed and taught by Alumni from IITs & Leading Tech Companies. 60+ Hiring Drives Every Month 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:-  🌟 500+ Hiring Partners 🤝Trusted by 7500+ Students 💼 Avg. Rs. 7.2 LPA 🚀 41 LPA Highest Package Eligibility: BTech / BCA / BSc / MCA / MSc 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :-  https://pdlink.in/4hO7rWY Hurry, limited seats available!🏃‍♀️

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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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Coding is 10% writing code and 90% convincing yourself it makes sense.

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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