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Discover powerful insights with Python, Machine Learning, Coding, and Rโ€”your essential toolkit for data-driven solutions, smart alg

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๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป This Python library helps you extract usable data for language models from complex files like tables, images, charts, or multi-page documents.

๐Ÿ“ 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.


โœ… Works with PDFs, images, and website links.

โ˜‘๏ธ Can chunk and process very large documents (up to 1000 pages) by itself.

โœ”๏ธ Outputs both JSON and Markdown formats.

โ˜‘๏ธ Even specifies the exact location of each section on the page.

โœ”๏ธ Supports parallel and batch processing.

pip install agentic-doc


โ”Œ ๐Ÿฅต Agentic Document Extraction
โ”œ
๐ŸŒŽ Website
โ””
๐Ÿฑ GitHub Repos

๐ŸŒ #DataScience #DataScience
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https://t.iss.one/CodeProgrammer
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๐Ÿ“บ 12 comprehensive playlists to master
โฌ…๏ธ machine learning, deep learning, and GenAI!


๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics.


๐Ÿ˜‰ Machine Learning Basics (39 videos)

๐Ÿ˜‰ Python for ML (9 videos)

๐Ÿ˜‰ Optimization for ML (5 videos)

๐Ÿ˜‰ Machine Learning with Practical Exercises (37 videos)

๐Ÿ˜‰ Building Decision Trees from Scratch (13 videos)

๐Ÿ˜‰ Building Neural Networks from Scratch (35 videos)

๐Ÿ˜‰ Graph Neural Networks (6 videos)

๐Ÿ˜‰ Computer Vision from Scratch (19 videos)

๐Ÿ˜‰ Building LLM from Scratch (43 videos)

๐Ÿ˜‰ Reasoning in LLMs from Scratch (22 videos)

๐Ÿ˜‰ Building DeepSeek from Scratch (29 videos)

๐Ÿ˜‰ Machine Learning in Production Environment (6 videos)



๐ŸŒ #Data_Science #DataScience
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https://t.iss.one/CodeProgrammer โค๏ธ
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Forwarded from Thor data
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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 ๐Ÿš€
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๐Ÿ“Œ How To Learn AI (Roadmap)

๐Ÿ—‚ Category: ARTIFICIAL INTELLIGENCE

๐Ÿ•’ Date: 2024-08-05 | โฑ๏ธ Read time: 11 min read

A full breakdown of how you can learn AI this year effectively
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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 Pythonโ€™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 ๐Ÿš€
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Andrew Ng launches a free course on AI agents ๐Ÿ˜ฎ

The course covers four key patterns:

Reflection โ€” the agent independently improves its responses

Tool use โ€” using tools

Planning โ€” action planning

Multi-agent collaboration โ€” multiple agents working together on one task
Everything is implemented in pure Python. Andrew emphasizes that creating AI agents is one of the most in-demand skills in the market.

Available here: https://www.deeplearning.ai/courses/agentic-ai/

๐Ÿ‘‰  @codeprogrammer
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๐Ÿค–๐Ÿง  Join the 5-Day AI Agents Intensive Course with Google

๐Ÿ—“๏ธ 07 Oct 2025
๐Ÿ“š AI News & Trends

Artificial Intelligence is rapidly evolving beyond chatbots and text generation. The next frontier is AI agents โ€” intelligent, autonomous systems that can reason, take action and collaborate with tools and other agents. To help developers and practitioners build these next-generation systems, Google is launching the 5-Day AI Agents Intensive, a no-cost, online program running from ...

#aiagents #dayai #googleartificial #agentsintelligent #ai #evolvingchatbots
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๐Ÿค–๐Ÿง  The Little Book of Deep Learning โ€“ A Complete Summary and Chapter-Wise Overview

๐Ÿ—“๏ธ 08 Oct 2025
๐Ÿ“š AI News & Trends

In the ever-evolving world of Artificial Intelligence, deep learning continues to be the driving force behind breakthroughs in computer vision, speech recognition and natural language processing. For those seeking a clear, structured and accessible guide to understanding how deep learning really works, โ€œThe Little Book of Deep Learningโ€ by Franรงois Fleuret is a gem. This ...

#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides #FrancoisFleuret
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๐Ÿ“Œ Understanding Positional Embeddings in Transformers: From Absolute to Rotary

๐Ÿ—‚ Category: DEEP LEARNING

๐Ÿ•’ Date: 2024-07-20 | โฑ๏ธ Read time: 19 min read

A deep dive into absolute, relative, and rotary positional embeddings with code examples
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๐Ÿค–๐Ÿง  Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs

๐Ÿ—“๏ธ 08 Oct 2025
๐Ÿ“š AI News & Trends

In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate todayโ€™s AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...

#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides
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