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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 56 108 subscribers, ranking 2 297 in the Technologies & Applications category and 6 109 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 56 108 subscribers.

According to the latest data from 02 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -97 over the last 30 days and by -23 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.82%. Within the first 24 hours after publication, content typically collects 0.70% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 022 views. Within the first day, a publication typically gains 391 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 03 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.

56 108
Subscribers
-2324 hours
-117 days
-9730 days
Posts Archive
JavaScript, TypeScript, Python, Java, Go, Ruby, Rust, Ook!, PHP, or whatever else... A programming language doesn't matter as long as it gets the job done. Period.

Coding is 30% typing, 70% understanding why what you typed doesn't work.

Common Programming Interview Questions How do you reverse a string? How do you determine if a string is a palindrome? How do you calculate the number of numerical digits in a string? How do you find the count for the occurrence of a particular character in a string? How do you find the non-matching characters in a string? How do you find out if the two given strings are anagrams? How do you calculate the number of vowels and consonants in a string? How do you total all of the matching integer elements in an array? How do you reverse an array? How do you find the maximum element in an array? How do you sort an array of integers in ascending order? How do you print a Fibonacci sequence using recursion? How do you calculate the sum of two integers? How do you find the average of numbers in a list? How do you check if an integer is even or odd? How do you find the middle element of a linked list? How do you remove a loop in a linked list? How do you merge two sorted linked lists? How do you implement binary search to find an element in a sorted array? How do you print a binary tree in vertical order? Conceptual Coding Interview Questions What is a data structure? What is an array? What is a linked list? What is the difference between an array and a linked list? What is LIFO? What is FIFO? What is a stack? What are binary trees? What are binary search trees? What is object-oriented programming? What is the purpose of a loop in programming? What is a conditional statement? What is debugging? What is recursion? What are the differences between linear and non-linear data structures? General Coding Interview Questions What programming languages do you have experience working with? Describe a time you faced a challenge in a project you were working on and how you overcame it. Walk me through a project you’re currently or have recently worked on. Give an example of a project you worked on where you had to learn a new programming language or technology. How did you go about learning it? How do you ensure your code is readable by other developers? What are your interests outside of programming? How do you keep your skills sharp and up to date? How do you collaborate on projects with non-technical team members? Tell me about a time when you had to explain a complex technical concept to a non-technical team member. How do you get started on a new coding project?

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Software Engineering 101: 1. Understand the requirements 2. Look for existing solutions 3. Talk to your peers 4. Design your own solution 5. Incorporate the existing solutions into your design 6. Now you can start to code Software engineering is more than only coding.

HTML is 30 years old. CSS is 29 years old. JavaScript is 28 years old.

Writing code is simple. Writing simple code is so much harder.

Java developer - Realistic Approach 💪🩵 1. Learn Java as a whole: 📍Beginner : - Java Core: Java syntax , Collections framework , Exception Handling , Multithreading , File Handling - Java Intermediate - JDBC , Design Pattern , Generics etc. 💪Pro : - Advanced Java - Lambdas , streams , time , concurrency utilities , JVM internals - Design Patterns - Creational , Structural , Behavioral 2. Build Tools: - Learn and use popular build tools like : 📍Beginner : Maven (Web development) Gradle (App development) 💪Pro : Ant 3. Version Control: - Master a version control system like Git. Master the skills for 📍Beginner : Github 💪Pro : GitLab , BitBucket 4. Command Line (This can be done parallel to the above 4) Believe me when it comes to Java development Command line skills will be a boon for you guys. Start with the basics for eg : install and setup java with Command Line only. Start using Linux distributions ( it's very necessary ) go to a virtual box or dual boot your systems with any of Ubuntu , Kali Linux , Manjaro etc 5. Learn Servlets and JSP and then go for a framework ( Spring boot

Here is an A-Z list of essential programming terms: 1. Array: A data structure that stores a collection of elements of the same type in contiguous memory locations. 2. Boolean: A data type that represents true or false values. 3. Conditional Statement: A statement that executes different code based on a condition. 4. Debugging: The process of identifying and fixing errors or bugs in a program. 5. Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions. 6. Function: A block of code that performs a specific task and can be called multiple times in a program. 7. GUI (Graphical User Interface): A visual way for users to interact with a computer program using graphical elements like windows, buttons, and menus. 8. HTML (Hypertext Markup Language): The standard markup language used to create web pages. 9. Integer: A data type that represents whole numbers without any fractional part. 10. JSON (JavaScript Object Notation): A lightweight data interchange format commonly used for transmitting data between a server and a web application. 11. Loop: A programming construct that allows repeating a block of code multiple times. 12. Method: A function that is associated with an object in object-oriented programming. 13. Null: A special value that represents the absence of a value. 14. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects" that encapsulate data and behavior. 15. Pointer: A variable that stores the memory address of another variable. 16. Queue: A data structure that follows the First-In-First-Out (FIFO) principle. 17. Recursion: A programming technique where a function calls itself to solve a problem. 18. String: A data type that represents a sequence of characters. 19. Tuple: An ordered collection of elements, similar to an array but immutable. 20. Variable: A named storage location in memory that holds a value. 21. While Loop: A loop that repeatedly executes a block of code as long as a specified condition is true. Best Programming Resources: https://topmate.io/coding/898340 Join for more: https://t.me/programming_guide ENJOY LEARNING 👍👍

Thank you so much for the amazing response guys. Our product is now best selling on Topmate
Thank you so much for the amazing response guys. Our product is now best selling on Topmate

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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