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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

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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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📈 Analytical overview of Telegram channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) in the English language segment is an active participant. Currently, the community unites 56 058 subscribers, ranking 2 291 in the Technologies & Applications category and 6 117 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 56 058 subscribers.

According to the latest data from 05 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -136 over the last 30 days and by -13 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.81%. Within the first 24 hours after publication, content typically collects 0.68% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 016 views. Within the first day, a publication typically gains 379 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as algorithm, structure, stack, javascript, programming.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Thanks to the high frequency of updates (latest data received on 06 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

56 058
Subscribers
-1324 hours
-297 days
-13630 days
Posts Archive
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!

50 Algorithms Every Programmer Should Know Imran Ahmad, 2023

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!

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What is open source? Open source is a popular philosophy in the crypto world, a kind of “movement” whose members believe that
What is open source? Open source is a popular philosophy in the crypto world, a kind of “movement” whose members believe that sharing open information and transparency in product development leads to the common good. To clarify: Open source means that a written program (be it software, a smart contract, or something else) is extremely open and transparent: Anyone can look at its code (and point out bugs), and everyone has the ability to make changes and modifications to it. It is the open source philosophy that makes the crypto world what it is today: All smart contracts are open-source, which means that the code is being researched (and improved) by other enthusiasts across the board.

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Starting out with Python by Tiny Gaddis #Python #Programming

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