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๐จ๐ปโ๐ป This Python library helps you extract usable data for language models from complex files like tables, images, charts, or multi-page documents.
๐ 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.
โ
Works with PDFs, images, and website links.
โ๏ธ Can chunk and process very large documents (up to 1000 pages) by itself.
โ๏ธ Outputs both JSON and Markdown formats.
โ๏ธ Even specifies the exact location of each section on the page.
โ๏ธ Supports parallel and batch processing.
โ๐ฅต Agentic Document Extraction
โ๐ Website
โ๐ฑ GitHub Repos
๐ #DataScience #DataScience
โโโโโโโโโโโโโ
https://t.iss.one/CodeProgrammer
pip install agentic-doc
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https://t.iss.one/CodeProgrammer
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๐จ๐ปโ๐ป Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics.
โโโโโโโโโโโโโ
https://t.iss.one/CodeProgrammer
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Forwarded from Thor data
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Low Latency: <0.8s average response time, 99.9% uptime
Compliant: GDPR/CCPA compliant for public data only
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Forwarded from Python Data Science Jobs & Interviews
1. What is the output of the following code?
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?
5. Explain the difference between
6. How do you handle exceptions in Python? Provide an example.
7. What is the output of:
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
11. What will be the output of:
12. Explain the concept of list comprehension with an example.
13. What is the purpose of the
14. Write a program to check if a given string is a palindrome.
15. What is the output of:
16. Describe how Python manages memory (garbage collection).
17. What will be printed by:
18. Write a Python program to generate the first n Fibonacci numbers.
19. What is the difference between
20. What is the use of the
#PythonQuiz #CodingTest #ProgrammingExam #MultipleChoice #CodeOutput #PythonBasics #InterviewPrep #CodingChallenge #BeginnerPython #TechAssessment #PythonQuestions #SkillCheck #ProgrammingSkills #CodePractice #PythonLearning #MCQ #ShortAnswer #TechnicalTest #PythonSyntax #Algorithm #DataStructures #PythonProgramming
By: @DataScienceQ ๐
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 ๐
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Forwarded from Data Science Machine Learning Data Analysis
๐ How To Learn AI (Roadmap)
๐ Category: ARTIFICIAL INTELLIGENCE
๐ Date: 2024-08-05 | โฑ๏ธ Read time: 11 min read
A full breakdown of how you can learn AI this year effectively
๐ Category: ARTIFICIAL INTELLIGENCE
๐ Date: 2024-08-05 | โฑ๏ธ Read time: 11 min read
A full breakdown of how you can learn AI this year effectively
โค4๐1
Forwarded from Python Data Science Jobs & Interviews
1. What is the output of the following code?
2. Which of the following is NOT a valid way to create a dictionary in Python?
A)
B)
C)
D)
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?
5. What is the purpose of the
6. Which built-in function can be used to remove duplicates from a list while preserving order?
7. Explain the difference between
8. What does the
9. Write a generator function that yields Fibonacci numbers up to a given limit.
10. What is the output of this code?
11. Which of the following is true about Pythonโs 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
14. Write a recursive function to calculate the factorial of a number.
15. What is the difference between
16. Explain how Python handles memory management for objects.
17. What is the output of this code?
18. Describe the use of
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 ๐
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 Pythonโs 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 ๐
โค6
Andrew Ng launches a free course on AI agents ๐ฎ
The course covers four key patterns:
Available here: https://www.deeplearning.ai/courses/agentic-ai/
๐ @codeprogrammer
The course covers four key patterns:
Reflection โ the agent independently improves its responsesEverything is implemented in pure Python. Andrew emphasizes that creating AI agents is one of the most in-demand skills in the market.
Tool use โ using tools
Planning โ action planning
Multi-agent collaboration โ multiple agents working together on one task
Available here: https://www.deeplearning.ai/courses/agentic-ai/
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๐ค๐ง Join the 5-Day AI Agents Intensive Course with Google
๐๏ธ 07 Oct 2025
๐ 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
๐๏ธ 07 Oct 2025
๐ 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
โค5
๐ค๐ง The Little Book of Deep Learning โ A Complete Summary and Chapter-Wise Overview
๐๏ธ 08 Oct 2025
๐ 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, โThe Little Book of Deep Learningโ by Franรงois Fleuret is a gem. This ...
#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides #FrancoisFleuret
๐๏ธ 08 Oct 2025
๐ 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, โThe Little Book of Deep Learningโ by Franรงois Fleuret is a gem. This ...
#DeepLearning #ArtificialIntelligence #MachineLearning #NeuralNetworks #AIGuides #FrancoisFleuret
โค3
Forwarded from Data Science Machine Learning Data Analysis
๐ Understanding Positional Embeddings in Transformers: From Absolute to Rotary
๐ Category: DEEP LEARNING
๐ Date: 2024-07-20 | โฑ๏ธ Read time: 19 min read
A deep dive into absolute, relative, and rotary positional embeddings with code examples
๐ Category: DEEP LEARNING
๐ Date: 2024-07-20 | โฑ๏ธ Read time: 19 min read
A deep dive into absolute, relative, and rotary positional embeddings with code examples
โค4
๐ค๐ง Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs
๐๏ธ 08 Oct 2025
๐ 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 todayโs 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
๐๏ธ 08 Oct 2025
๐ 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 todayโs 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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