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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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📈 Аналітичний огляд Telegram-каналу Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Канал Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 56 140 підписників, посідаючи 2 375 місце в категорії Технології та додатки та 6 505 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 56 140 підписників.

За останніми даними від 12 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 106, а за останні 24 години на 11, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 2.74%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.87% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 1 538 переглядів. Протягом першої доби публікація в середньому набирає 486 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 4.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як algorithm, structure, stack, javascript, programming.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

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 Технології та додатки.

56 140
Підписники
+1124 години
+287 днів
+10630 день
Архів дописів
Software development is complex, and the fancy names don't help. Hashing vs. Encryption vs. Encoding 𝗛𝗮𝘀𝗵𝗶𝗻𝗴 This is a one-way process used for data integrity verification. When you hash data, you get a unique string representing the original data. It's a one-way street; once you hash something, you can't get the original data back from the hash. While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute. This property makes it perfect for verifying if someone altered the data. If even one-bit changes in the original data, the hash changes dramatically. 𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻 This is the real deal when it comes to data security. It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext). Only those with the correct key can unlock (decrypt) the data and read it. This process is reversible, unlike hashing. Encryption is critical for protecting sensitive data from unauthorized access. 𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴 This is all about data representation. It converts data from one format to another, making it easier to interpret and display. Common formats: • Base64 • UTF-8 • ASCII Encoding does NOT provide security! It's for data transmission and storage convenience. One common use of hashing is for secure password storage. When you create an account or set a password, the system hashes and stores the password in the database. During login, the system hashes the provided password and compares it to the stored hash without revealing the password.

How can you stand out as a software engineer? Learn the skills that others avoid: • Learn unit testing. • Learn CI/CD pipelines. • Learn automation tools. • Learn performance tuning. • Learn security best practices. • Learn effective branching strategies. • Learn cloud infrastructure management. Most fall short here.

Here are 50 Python interview questions for 2024: 1. What is Python? 2. What are Python’s key features? 3. What is the difference between Python 2 and Python 3? 4. Explain Python’s dynamic typing. 5. What are Python’s built-in data types? 6. What is the difference between a list and a tuple in Python? 7. What are Python decorators? 8. What is a Python generator? How does it differ from a normal function? 9. Explain the Global Interpreter Lock (GIL) in Python. 10. How does Python handle memory management? 11. What is the difference between shallow copy and deep copy in Python? 12. What is Python's lambda function? 13. What is the difference between “is” and “==” in Python? 14. How do you handle exceptions in Python? 15. What are Python's modules and packages? 16. Explain Python’s “with” statement. 17. What is Python's init.py file used for? 18. How is Python's pass statement used? 19. What is Python’s *args and **kwargs? 20. What are Python’s list comprehensions? 21. What is Python’s garbage collection mechanism? 22. Explain Python’s @staticmethod, @classmethod, and instance methods. 23. What are Python’s sets, and how do they differ from lists? 24. How do you implement multithreading in Python? 25. What is the difference between multithreading and multiprocessing in Python? 26. What is Python’s dir() function used for? 27. How is Python’s zip() function used? 28. What are Python's data structures like dictionaries, sets, and tuples? 29. What is Python’s enumerate() function? 30. Explain Python’s scope resolution (LEGB) rule. 31. What is Python’s filter(), map(), and reduce()? 32. What is the difference between Python’s deepcopy and copy()? 33. What is the use of Python’s yield statement? 34. How do you work with files in Python? 35. What is Python’s collections module? 36. Explain Python’s context manager and with statement. 37. What is Python’s sys module used for? 38. What is the purpose of Python’s itertools module? 39. What are Python’s metaclasses? 40. Explain Python’s super() function. 41. How do you use Python’s regular expressions module (re)? 42. What is Python’s random module used for? 43. Explain Python’s virtual environment (venv). 44. What are Python’s iterators and iterables? 45. What is Python’s isinstance() function? 46. How do you test Python code? 47. What are Python’s comprehensions (list, set, dictionary)? 48. Explain the use of Python’s json module. 49. What is Python’s time module used for? 50. Explain Python’s logging module. Here you can find essential Python Interview Resources👇 https://topmate.io/analyst/907371 Like this post for more resources like this 👍♥️ Hope it helps :)

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