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🔸This Channel is Only For Educational Purposes. No Copyright Infringement Intended. 🔸All the Credits & Rights Reserved to the Actual Owners. ✅ paid promotion DM @CODInitBot #studymaterial #interview #placement #notes #course #gate #freecourse #job

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📈 Аналітичний огляд Telegram-каналу FREE NOTES 🔖CODINIT🔖

Канал FREE NOTES 🔖CODINIT🔖 (@cod_init) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 12 478 підписників, посідаючи 16 252 місце в категорії Освіта та 34 114 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 12 478 підписників.

За останніми даними від 12 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -184, а за останні 24 години на -7, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 0%. Протягом перших 24 годин після публікації контент зазвичай збирає N/A% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 0 переглядів. Протягом першої доби публікація в середньому набирає 0 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 0.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
🔸This Channel is Only For Educational Purposes. No Copyright Infringement Intended. 🔸All the Credits & Rights Reserved to the Actual Owners. ✅ paid promotion DM @CODInitBot #studymaterial #interview #placement #notes #course #gate #freecourse #j...

Завдяки високій частоті оновлень (останні дані отримано 13 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

12 478
Підписники
-724 години
-477 днів
-18430 день
Архів дописів
🔴 How to MASTER a programming language using ChatGPT: 📌 1. Can you provide some tips and best practices for writing clean and efficient code in [lang]? 2. What are some commonly asked interview questions about [lang]? 3. What are the advanced topics to learn in [lang]? Explain them to me with code examples. 4. Give me some practice questions along with solutions for [concept] in [lang]. 5. What are some common mistakes that people make in [lang]? 6. Can you provide some tips and best practices for writing clean and efficient code in [lang]? 7. How can I optimize the performance of my code in [lang]? 8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts? 9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively? 10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues? 11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]? 12. How can I effectively collaborate with other developers in [lang] on a project? 13. What are some common data structures and algorithms that I should be familiar with in [lang]? How to Create Resume using ChatGpt

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 👍👍 @CODE_Init

30-day roadmap to learn Python up to an intermediate level Week 1: Python Basics *Day 1-2:* - Learn about Python, its syntax, and how to install Python on your computer. - Write your first "Hello, World!" program. - Understand variables and data types (integers, floats, strings). *Day 3-4:* - Explore basic operations (arithmetic, string concatenation). - Learn about user input and how to use the input() function. - Practice creating and using variables. *Day 5-7:* - Dive into control flow with if statements, else statements, and loops (for and while). - Work on simple programs that involve conditions and loops. Week 2: Functions and Modules *Day 8-9:* - Study functions and how to define your own functions using def. - Learn about function arguments and return values. *Day 10-12:* - Explore built-in functions and libraries (e.g., len(), random, math). - Understand how to import modules and use their functions. *Day 13-14:* - Practice writing functions for common tasks. - Create a small project that utilizes functions and modules. Week 3: Data Structures *Day 15-17:* - Learn about lists and their operations (slicing, appending, removing). - Understand how to work with lists of different data types. *Day 18-19:* - Study dictionaries and their key-value pairs. - Practice manipulating dictionary data. *Day 20-21:* - Explore tuples and sets. - Understand when and how to use each data structure. Week 4: Intermediate Topics *Day 22-23:* - Study file handling and how to read/write files in Python. - Work on projects involving file operations. *Day 24-26:* - Learn about exceptions and error handling. - Explore object-oriented programming (classes and objects). *Day 27-28:* - Dive into more advanced topics like list comprehensions and generators. - Study Python's built-in libraries for web development (e.g., requests). *Day 29-30:* - Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development). - Work on a more complex project that combines your knowledge from the past weeks. Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Good luck with your Python journey! @CODE_Init

30-day roadmap to learn Java up to an intermediate level. This roadmap is designed for beginners, so adjust your pace as needed. Week 1: Java Basics *Day 1-2:* - Day 1: Get Java installed on your computer and set up your development environment. - Day 2: Learn about Java's history, its role in programming, and write your first "Hello, World!" program. *Day 3-4:* - Day 3: Study Java syntax, data types, and variables. - Day 4: Understand operators and perform basic arithmetic operations. *Day 5-7:* - Day 5: Explore control flow with if-else statements and loops (for and while). - Day 6: Dive into switch statements and understand how to handle user choices. - Day 7: Practice writing small programs that use conditions and loops. Week 2: Functions and Object-Oriented Programming *Day 8-9:* - Day 8: Learn about functions (methods) and how to define your own functions in Java. - Day 9: Study function parameters, return types, and method overloading. *Day 10-12:* - Day 10: Understand the basics of object-oriented programming (OOP) in Java. - Day 11: Learn about classes, objects, and constructors. - Day 12: Explore encapsulation, inheritance, and polymorphism. *Day 13-14:* - Day 13: Study Java packages and access modifiers (public, private, protected). - Day 14: Practice creating classes and objects in real-world scenarios. Week 3: Data Structures and Collections *Day 15-17:* - Day 15: Dive into arrays in Java and understand their usage. - Day 16: Study Java's collection framework and ArrayList. - Day 17: Learn about iterating through collections using loops and iterators. *Day 18-19:* - Day 18: Explore other collection types like LinkedList and HashMap. - Day 19: Understand when to use different collection types in Java. *Day 20-21:* - Day 20: Study exception handling in Java and how to deal with errors. - Day 21: Practice working with try-catch blocks and handling exceptions effectively. Week 4: Intermediate Topics and Projects *Day 22-23:* - Day 22: Study file handling in Java, including reading and writing files. - Day 23: Create a small project that involves file operations. *Day 24-26:* - Day 24: Learn about multithreading and how to create and manage threads in Java. - Day 25: Study Java's built-in libraries for networking and socket programming. - Day 26: Work on a project that involves multithreading or networking. *Day 27-28:* - Day 27: Explore more advanced Java topics like JavaFX for GUI development or JDBC for database connectivity. - Day 28: Work on a more complex project that combines your knowledge from the past weeks. *Day 29-30:* - Day 29: Review and revisit any topics you found challenging. - Day 30: Continue building projects and exploring areas of Java that interest you. Consider joining Java communities and forums to seek help and advice. Java is a versatile language with many applications, so your learning journey can continue well beyond this roadmap. Good luck!

Repost from Join first
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Repost from Join first
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Best ChatGPT Alternatives to finish hours of work in seconds 𝗙𝗼𝗿 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 ChatSonic - https://writesonic.com/chat ChatABC - https://chatabc.ai JasperAI - https://www.jasper.ai Quillbot - https://quillbot.com 𝗙𝗼𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 Copilot- https://github.com/features/copilot Tabnine - https://www.tabnine.com MutableAI - https://mutable.ai Safurai - https://www.safurai.com 10Web - https://10web.io/ai-website-builder 𝗙𝗼𝗿 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 Paperpal - https://paperpal.com Perplexity - https://www.perplexity.ai YouChat - https://you.com/search?q=who+are+you&tbm=youchat&cfr=chat Elicit - https://elicit.org 𝗙𝗼𝗿 𝗧𝘄𝗶𝘁𝘁𝗲𝗿 Tweetmonk - https://tweetmonk.com Tribescaler - https://tribescaler.com Postwise - https://postwise.ai TweetLify - https://www.tweetlify.co 𝗙𝗼𝗿 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 Synthesia - https://www.synthesia.io Otter - https://otter.ai Bardeen - https://www.bardeen.ai CopyAI - https://www.copy.ai/?via=start 𝗙𝗼𝗿 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻 WriteSonic - https://writesonic.com/chat Tome - https://beta.tome.app CopySmith - https://app.copysmith.ai TextBlaze - https://blaze.today 𝗥𝗲𝘀𝘂𝗺𝗲 𝗕𝘂𝗶𝗹𝗱𝗲𝗿𝘀 KickResume - https://www.kickresume.com ReziAI - https://www.rezi.ai ResumeAI - https://www.resumai.com EnhanceCV - https://enhancv.com 𝗙𝗼𝗿 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 BeautifulAI - https://www.beautiful.ai Simplified - https://simplified.com Slidesgo - https://slidesgo.com Sendsteps - https://www.sendsteps.com/en @CODE_Init 𝗙𝗼𝗿 𝗔𝘂𝗱𝗶𝗼 MurfAI - https://murf.ai Speechify - https://speechify.com LovoAI- https://lovo.ai MediaAI- https://www.ai-media.tv

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-2147483648_-210108.webp0.76 KB

Keerti Purswani - LLD - Low Level System Design Assignments: https://github.com/keertipurswani/LLD-Design-Patterns Added to I
Keerti Purswani - LLD - Low Level System Design Assignments: https://github.com/keertipurswani/LLD-Design-Patterns Added to Index ✅ Folder "Keerti Purswani"

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🌟 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝟰𝟳 𝗖𝗮𝗿𝗲𝗳𝘂𝗹𝗹𝘆 𝗖𝘂𝗿𝗮𝘁𝗲𝗱 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁𝘀 𝗬𝗼𝘂'𝗹𝗹 𝗘𝘃𝗲𝗿 𝗡𝗲𝗲𝗱! 📚 1. Python : https://lnkd.in/grD8XUS6 2. Pandas : https://lnkd.in/g4yTJ7CP 3. NumPy : https://lnkd.in/gg9Uw-km 4. Matplotlib https://lnkd.in/gahrGicD 5. Seaborn https://lnkd.in/gcu4UKpw 6. Scikit-learn https://lnkd.in/gGfkNu5i 7. TensorFlow : https://lnkd.in/g3fw3uRV 8. Keras : https://lnkd.in/gfPTfbgg 9. PyTorch https://bit.ly/3lnsiIz 10. SQL : https://lnkd.in/gnwe4qcb 11. R : https://lnkd.in/gEgJ6A8j 12. Git : https://lnkd.in/gyzhztvH 13. AWS https://bit.ly/3ZQWMS1 14. Azure https://bit.ly/42f4N4V 15. Google Cloud Platform : https://bit.ly/3JJADzv 16. Docker : https://bit.ly/3Lt2zJe 17. Kubernetes https://lnkd.in/gjXCT7Mb 18. Linux Command Line : https://bit.ly/3FtcTgw 19. Jupyter Notebook https://lnkd.in/g7cPmgHQ 20. Data Wrangling :https://bit.ly/3TiMibP 21. Data Visualization : https://lnkd.in/gQ52Jd_J 22. Statistical Inference https://lnkd.in/grNXVQh5 23. Probability : https://lnkd.in/gvnWCphc 24. Linear Algebra : https://lnkd.in/gty6XpVF 25. Calculus https://lnkd.in/gjhsmsxu 26. Time Series : https://bit.ly/3Fvuep4 27. NLP: https://bit.ly/3Fvursm 28. Neural Network : https://lnkd.in/gThs2AAp 29. Deep Learning : https://lnkd.in/gVbSPae2 30. Machine Learning : https://bit.ly/3mZ5Wh3 Join our Telegram channel 🙂 https://t.me/CODE_Init 31. Apache Spark : https://lnkd.in/ge7Rj-Yr 32. Hadoop : https://bit.ly/3Lq34DR 33. Big-O Notation t: https://lnkd.in/gfYqM8WU 34. Regular Expression : https://lnkd.in/gE9kZTZW 35. Unix/Linux Permissions https://bit.ly/3ZUfwA8 36. Python String Formatting https://lnkd.in/gHi26Uk2 37. Flask : https://lnkd.in/gGzbSTgU 38. Django : https://lnkd.in/grZcWz8y 39. SQL : https://lnkd.in/gyierV3f 40. PostgreSQL : https://lnkd.in/gzfiW7zB 41. MySQL: https://lnkd.in/g4JnPVTe 42. MongoDB : https://lnkd.in/gHc4F4ER 43. TensorFlow Probability Cheat Sheet: https://lnkd.in/gr3bgDGP 44. OpenAI GPT-3 Documentation: https://lnkd.in/gawB_SC9 45. GPT-3 API Reference: https://lnkd.in/gtCGZvX8 46. GPT-3 GitHub Repository: https://lnkd.in/g56cQQPD 47. Chat GPT Cheat Sheet : https://lnkd.in/e43cDB9q

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