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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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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 16 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
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.
Here are some project ideas for C++:
https://t.me/Programming_experts/450
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 👍👍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.
Here are some project ideas for C++:
https://t.me/Programming_experts/450
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 👍👍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!
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