Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Network:Machine Learning with Python India5 047 Education2 412...

📈 Analytical overview of Telegram channel Machine Learning with Python

Channel Machine Learning with Python (@codeprogrammer) in the English language segment is an active participant. Currently, the community unites 67 810 subscribers, ranking 2 412 in the Education category and 5 047 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 67 810 subscribers.

According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 50 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.79%. Within the first 24 hours after publication, content typically collects 2.60% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 895 views. Within the first day, a publication typically gains 1 764 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 09 June, 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 Education category.

67 810

Subscribers

-524 hours

+227 days

+5030 days

1 895

Post views

~ 1 76424 hours

~ 2 39848 hours

2.79%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

67 813

Repost from Tech Jobs Hub

1. What is the output of the following code?

x = [1, 2, 3]
y = x
y[0] = 4
print(x)

2. Which of the following is NOT a valid way to create a dictionary in Python? A) dict(a=1, b=2) B) {a: 1, b: 2} C) dict([('a', 1), ('b', 2)]) D) {1: 'a', 2: 'b'} 3. Write a function that takes a list of integers and returns a new list containing only even numbers. 4. What will be printed by this code?

def func(a, b=[]):
    b.append(a)
    return b
print(func(1))
print(func(2))

5. What is the purpose of the __slots__ attribute in a Python class? 6. Which built-in function can be used to remove duplicates from a list while preserving order? 7. Explain the difference between map(), filter(), and reduce() with examples. 8. What does the @staticmethod decorator do in Python? 9. Write a generator function that yields Fibonacci numbers up to a given limit. 10. What is the output of this code?

import copy
a = [1, 2, [3, 4]]
b = copy.deepcopy(a)
b[2][0] = 5
print(a[2][0])

11. Which of the following is true about Python’s GIL (Global Interpreter Lock)? A) It allows multiple threads to execute Python bytecode simultaneously. B) It prevents race conditions in multithreaded programs. C) It limits CPU-bound multi-threaded performance. D) It is disabled in PyPy. 12. How would you implement a context manager using a class? 13. What is the result of bool([]) and why? 14. Write a recursive function to calculate the factorial of a number. 15. What is the difference between is and == in Python? 16. Explain how Python handles memory management for objects. 17. What is the output of this code?

class A:
    def __init__(self):
        self.x = 1

class B(A):
    def __init__(self):
        super().__init__()
        self.y = 2

obj = B()
print(hasattr(obj, 'x') and hasattr(obj, 'y'))

18. Describe the use of *args and **kwargs in function definitions. 19. Write a program that reads a text file and counts the frequency of each word. 20. What is monkey patching in Python and when might it be useful? #Python #AdvancedPython #ProgrammingTest #CodingChallenge #PythonInterview #PythonDeveloper #CodeQuiz #HighLevelPython #LearnPython #PythonSkills #PythonExpert By: @DataScienceQ 🚀

67 813

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67 813

Repost from Machine Learning

📌 How To Learn AI (Roadmap) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read A full breakdown of how you can learn AI this year effectively

67 813

Liverpool to replace Salah for £75M? Transfer chaos is about to explode: Liverpool are now favourites to sign Antoine Semenyo as Salah’s direct successor. Will this blockbuster deal actually happen? Get the fastest updates, inside info and exclusive transfer scoops every day in Transfer News. Don’t miss the moves before they break the headlines — join now! #ad InsideAds

67 813

Ever wondered what happens when AI meets productivity? Padma AI is your personal assistant that makes every task smarter and faster. Discover how you can boost your daily workflow with one click—don’t miss out on the future: see Padma AI in action right now. Unlock next-level efficiency—join the revolution! #ad InsideAds

67 813

Perform the test and submit the solution via a photocopy of the answer sheet

67 813

Repost from Tech Jobs Hub

1. What is the output of the following code?

x = [1, 2, 3]
y = x
y.append(4)
print(x)

2. Which of the following data types is immutable in Python? A) List B) Dictionary C) Set D) Tuple 3. Write a Python program to reverse a string without using built-in functions. 4. What will be printed by this code?

def func(a, b=[]):
    b.append(a)
    return b

print(func(1))
print(func(2))

5. Explain the difference between == and is operators in Python. 6. How do you handle exceptions in Python? Provide an example. 7. What is the output of:

print(2 ** 3 ** 2)

8. Which keyword is used to define a function in Python? A) def B) function C) func D) define 9. Write a program to find the factorial of a number using recursion. 10. What does the *args parameter do in a function? 11. What will be the output of:

list1 = [1, 2, 3]
list2 = list1.copy()
list2[0] = 10
print(list1)

12. Explain the concept of list comprehension with an example. 13. What is the purpose of the __init__ method in a Python class? 14. Write a program to check if a given string is a palindrome. 15. What is the output of:

a = [1, 2, 3]
b = a[:]
b[0] = 10
print(a)

16. Describe how Python manages memory (garbage collection). 17. What will be printed by:

x = "hello"
y = "world"
print(x + y)

18. Write a Python program to generate the first n Fibonacci numbers. 19. What is the difference between range() and xrange() in Python 2? 20. What is the use of the lambda function in Python? Give an example. #PythonQuiz #CodingTest #ProgrammingExam #MultipleChoice #CodeOutput #PythonBasics #InterviewPrep #CodingChallenge #BeginnerPython #TechAssessment #PythonQuestions #SkillCheck #ProgrammingSkills #CodePractice #PythonLearning #MCQ #ShortAnswer #TechnicalTest #PythonSyntax #Algorithm #DataStructures #PythonProgramming By: @DataScienceQ 🚀

67 813

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67 813

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67 813

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67 813

Python | Machine Learning | Coding | R: Participating in watching the ad (Telegram channel) encourages us to offer paid resources for free

67 813

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67 813

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67 813

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67 813

📺 12 comprehensive playlists to master ⬅️ machine learning, deep learning, and GenAI! 👨🏻‍💻 Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics. 😉 Machine Learning Basics (39 videos) 😉 Python for ML (9 videos) 😉 Optimization for ML (5 videos) 😉 Machine Learning with Practical Exercises (37 videos) 😉 Building Decision Trees from Scratch (13 videos) 😉 Building Neural Networks from Scratch (35 videos) 😉 Graph Neural Networks (6 videos) 😉 Computer Vision from Scratch (19 videos) 😉 Building LLM from Scratch (43 videos) 😉 Reasoning in LLMs from Scratch (22 videos) 😉 Building DeepSeek from Scratch (29 videos) 😉 Machine Learning in Production Environment (6 videos) 🌐 #Data_Science #DataScience ➖➖➖➖➖➖➖➖➖➖➖➖➖ https://t.me/CodeProgrammer ❤️

67 813

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67 813

👨🏻‍💻 This Python library helps you extract usable data for language models from complex files like tables, images, charts, or multi-page documents. 📝 The idea of Agentic Document Extraction is that unlike common methods like OCR that only read text, it can also understand the structure and relationships between different parts of the document. For example, it understands which title belongs to which table or image. ✅ Works with PDFs, images, and website links. ☑️ Can chunk and process very large documents (up to 1000 pages) by itself. ✔️ Outputs both JSON and Markdown formats. ☑️ Even specifies the exact location of each section on the page. ✔️ Supports parallel and batch processing.

pip install agentic-doc

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67 813

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67 813

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