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โค7
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€
โค9
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
โค4๐Ÿ‘1
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€
โค6
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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โค4
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
โค5
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
โค5
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
โค4
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
โค1
๐Ÿค–๐Ÿง  OpenAIโ€™s AgentKit: Transforming How Developers Build and Deploy AI Agents

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

OpenAI continues to redefine the frontiers of artificial intelligence with the introduction of AgentKit a powerful all-in-one toolkit designed to simplify and accelerate how developers build and deploy AI agents. Unveiled during OpenAIโ€™s Dev Day on October 6, 2025, AgentKit marks a transformative leap in agentic AI technology giving developers and organizations the ability to ...

#OpenAI #AgentKit #AIAgents #ArtificialIntelligence #DeveloperTools #AIInnovation
โค2
๐Ÿค–๐Ÿง  Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models

๐Ÿ—“๏ธ 09 Oct 2025
๐Ÿ“š AI News & Trends

Artificial Intelligence is evolving at lightning speed and inclusionAIโ€™s Ling-1T is one of the most exciting innovations leading the charge. Built on the advanced Ling 2.0 architecture, Ling-1T is a trillion-parameter model designed to combine incredible reasoning power, speed and scalability in one open-source system. Image Source : Hugging Face Unlike many AI models that ...

#Ling1T #inclusionAI #ArtificialIntelligence #OpenSourceAI #LargeLanguageModels #AIArchitecture
โค2๐Ÿ‘2
๐Ÿค–๐Ÿง  PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing

๐Ÿ—“๏ธ 09 Oct 2025
๐Ÿ“š AI News & Trends

If youโ€™re a Python developer working with PDF documents whether itโ€™s for text extraction, data analysis conversion or annotation then youโ€™ve likely encountered the limitations of traditional tools. Thatโ€™s where PyMuPDF also known as fitz, shines. Itโ€™s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ...

#PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance
โค5
๐Ÿค–๐Ÿง  Gamma PPT AI : Unlock Presentations in Minutes

๐Ÿ—“๏ธ 10 Oct 2025
๐Ÿ“š AI News & Trends

In todayโ€™s fast-paced world, creating high-impact presentations can be a tedious, time-consuming process especially when you need beautiful visuals, crisp content and consistent branding. Thatโ€™s where Gamma PPT AI comes in. Itโ€™s a tool that promises to transform how we make slide decks by letting AI handle design, layout and content generation. In this blog, ...

#GammaPPTAI #AIPresentations #PresentationTools #ArtificialIntelligence #DesignAutomation #SlideDeck
โค3
๐Ÿค–๐Ÿง  How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs

๐Ÿ—“๏ธ 11 Oct 2025
๐Ÿ“š AI News & Trends

Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...

#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization
โค2
๐Ÿค–๐Ÿง  ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes

๐Ÿ—“๏ธ 11 Oct 2025
๐Ÿ“š AI News & Trends

Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMAโ€™s architecture, technical capabilities, practical ...

#ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI
๐Ÿค–๐Ÿง  15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025

๐Ÿ—“๏ธ 11 Oct 2025
๐Ÿ“š AI News & Trends

Are you looking to take your portraits to the next level? With Gemini AI Photo Editing Prompts, boys can now turn ordinary photos into ultra-realistic, cinematic or high-fashion images effortlessly. These prompts are specifically designed to work with uploaded images, allowing you to enhance your existing photos while keeping the subject intact. Whether youโ€™re curating ...

#GeminiAI #PhotoEditing #AIPrompts #PortraitPhotography #AIImageGeneration #BoysFashion