🚀 Comprehensive Guide: How to Prepare for an Image Processing Job Interview – 500 Most Common Interview Questions
Let's start: https://hackmd.io/@husseinsheikho/IP
#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
Let's start: https://hackmd.io/@husseinsheikho/IP
#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
✉️ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Please open Telegram to view this post
VIEW IN TELEGRAM
❤4👎1🔥1
This media is not supported in your browser
VIEW IN TELEGRAM
┌
└
#Python #OpenCV #Automation #ML #AI #DEEPLEARNING #MACHINELEARNING #ComputerVision
Please open Telegram to view this post
VIEW IN TELEGRAM
❤9👍4💯1🏆1
python-docx: Create and Modify Word Documents #python
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
Example
https://t.iss.one/DataScienceN 🚗
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
pip install python-docx
Example
from docx import Document
document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")
document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'
https://t.iss.one/DataScienceN 🚗
❤10🔥2
✨ Download a Free Python Cheat Sheet ✨
📖 Download a free Python 3 cheat sheet PDF put together by the Real Python team.
🏷️ #Python
📖 Download a free Python 3 cheat sheet PDF put together by the Real Python team.
🏷️ #Python
❤15💯2
🚀 2025 FREE Study Recourses from SPOTO for y’all — Don’t Miss Out!
✅ 100% Free Downloads
✅ No signup / spam
📘 #Python, Cybersecurity & Excel: https://bit.ly/4lYeVYp
📊 #Cloud Computing: https://bit.ly/45Rj1gm
☁️ #AI Kits: https://bit.ly/4m4bHTc
🔐 #CCNA Courses: https://bit.ly/45TL7rm
🧠 Free Online Practice – Test Now: https://bit.ly/41Kurjr
September 8th to 21th, SPOTO launches the Lowest Price Ever on ALL products! 🔥
Amazing Discounts for 📌 CCNA 200-301 📌 CCNP 400-007 and more…
📲 Contact admin to grab them: https://wa.link/uxde01
✅ 100% Free Downloads
✅ No signup / spam
📘 #Python, Cybersecurity & Excel: https://bit.ly/4lYeVYp
📊 #Cloud Computing: https://bit.ly/45Rj1gm
☁️ #AI Kits: https://bit.ly/4m4bHTc
🔐 #CCNA Courses: https://bit.ly/45TL7rm
🧠 Free Online Practice – Test Now: https://bit.ly/41Kurjr
September 8th to 21th, SPOTO launches the Lowest Price Ever on ALL products! 🔥
Amazing Discounts for 📌 CCNA 200-301 📌 CCNP 400-007 and more…
📲 Contact admin to grab them: https://wa.link/uxde01
❤6
✨ Python Cheat Sheet ✨
📖 Compact Python cheat sheet covering setup, syntax, data types, variables, strings, control flow, functions, classes, errors, and I/O.
🏷️ #Python
📖 Compact Python cheat sheet covering setup, syntax, data types, variables, strings, control flow, functions, classes, errors, and I/O.
🏷️ #Python
❤5
Media is too big
VIEW IN TELEGRAM
Released Real-Time Voice Cloning utility
Which clones speech and reproduces any phrases with your intonation in just a few seconds of recording.
It runs on #Python, generates speech in real time, and is completely local, no clouds or restrictions.🫠
🌟 GitHub: https://github.com/CorentinJ/Real-Time-Voice-Cloning
👉 https://t.iss.one/CodeProgrammer
Which clones speech and reproduces any phrases with your intonation in just a few seconds of recording.
It runs on #Python, generates speech in real time, and is completely local, no clouds or restrictions.
Please open Telegram to view this post
VIEW IN TELEGRAM
❤8
This media is not supported in your browser
VIEW IN TELEGRAM
This GitHub repository is a real treasure trove of free programming books.
Here you'll find hundreds of books on topics like #AI, #blockchain, app development, #game development, #Python #webdevelopment, #promptengineering, and many more✋
GitHub: https://github.com/EbookFoundation/free-programming-books
https://t.iss.one/CodeProgrammer⭐
Here you'll find hundreds of books on topics like #AI, #blockchain, app development, #game development, #Python #webdevelopment, #promptengineering, and many more
GitHub: https://github.com/EbookFoundation/free-programming-books
https://t.iss.one/CodeProgrammer
Please open Telegram to view this post
VIEW IN TELEGRAM
👏4❤3
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 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
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 🚀
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 🚀
❤9
Forwarded from Data Science Jupyter Notebooks
🔥 Trending Repository: best-of-ml-python
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
🍴 Forks: 3K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
🍴 Forks: 3K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#python #nlp #data_science #machine_learning #deep_learning #tensorflow #scikit_learn #keras #ml #data_visualization #pytorch #transformer #data_analysis #gpt #automl #jax #data_visualizations #gpt_3 #chatgpt
==================================
🧠 By: https://t.iss.one/DataScienceM
❤5
In Python, enhanced
#python #forloops #enumerate #bestpractices
✉️ @DataScience4
for loops with enumerate() provide both the index and value of items in an iterable, making it ideal for tasks needing positional awareness without manual counters. This is more Pythonic and efficient than using range(len()) for list traversals.fruits = ['apple', 'banana', 'cherry']
for index, fruit in enumerate(fruits):
print(f"{index}: {fruit}")
# Output:
# 0: apple
# 1: banana
# 2: cherry
# With start offset:
for index, fruit in enumerate(fruits, start=1):
print(f"{index}: {fruit}")
# 1: apple
# 2: banana
# 3: cherry
#python #forloops #enumerate #bestpractices
Please open Telegram to view this post
VIEW IN TELEGRAM
In Python, lists are versatile mutable sequences with built-in methods for adding, removing, searching, sorting, and more—covering all common scenarios like dynamic data manipulation, queues, or stacks. Below is a complete breakdown of all list methods, each with syntax, an example, and output, plus key built-in functions for comprehensive use.
📚 Adding Elements
⦁ append(x): Adds a single element to the end.
⦁ extend(iterable): Adds all elements from an iterable to the end.
⦁ insert(i, x): Inserts x at index i (shifts elements right).
📚 Removing Elements
⦁ remove(x): Removes the first occurrence of x (raises ValueError if not found).
⦁ pop(i=-1): Removes and returns the element at index i (default: last).
⦁ clear(): Removes all elements.
📚 Searching and Counting
⦁ count(x): Returns the number of occurrences of x.
⦁ index(x[, start[, end]]): Returns the lowest index of x in the slice (raises ValueError if not found).
📚 Ordering and Copying
⦁ sort(key=None, reverse=False): Sorts the list in place (ascending by default; stable sort).
⦁ reverse(): Reverses the elements in place.
⦁ copy(): Returns a shallow copy of the list.
📚 Built-in Functions for Lists (Common Cases)
⦁ len(lst): Returns the number of elements.
⦁ min(lst): Returns the smallest element (raises ValueError if empty).
⦁ max(lst): Returns the largest element.
⦁ sum(lst[, start=0]): Sums the elements (start adds an offset).
⦁ sorted(lst, key=None, reverse=False): Returns a new sorted list (non-destructive).
These cover all standard operations (O(1) for append/pop from end, O(n) for most others). Use slicing
#python #lists #datastructures #methods #examples #programming
⭐ @DataScience4
📚 Adding Elements
⦁ append(x): Adds a single element to the end.
lst = [1, 2]
lst.append(3)
print(lst) # Output: [1, 2, 3]
⦁ extend(iterable): Adds all elements from an iterable to the end.
lst = [1, 2]
lst.extend([3, 4])
print(lst) # Output: [1, 2, 3, 4]
⦁ insert(i, x): Inserts x at index i (shifts elements right).
lst = [1, 3]
lst.insert(1, 2)
print(lst) # Output: [1, 2, 3]
📚 Removing Elements
⦁ remove(x): Removes the first occurrence of x (raises ValueError if not found).
lst = [1, 2, 2]
lst.remove(2)
print(lst) # Output: [1, 2]
⦁ pop(i=-1): Removes and returns the element at index i (default: last).
lst = [1, 2, 3]
item = lst.pop(1)
print(item, lst) # Output: 2 [1, 3]
⦁ clear(): Removes all elements.
lst = [1, 2, 3]
lst.clear()
print(lst) # Output: []
📚 Searching and Counting
⦁ count(x): Returns the number of occurrences of x.
lst = [1, 2, 2, 3]
print(lst.count(2)) # Output: 2
⦁ index(x[, start[, end]]): Returns the lowest index of x in the slice (raises ValueError if not found).
lst = [1, 2, 3, 2]
print(lst.index(2)) # Output: 1
📚 Ordering and Copying
⦁ sort(key=None, reverse=False): Sorts the list in place (ascending by default; stable sort).
lst = [3, 1, 2]
lst.sort()
print(lst) # Output: [1, 2, 3]
⦁ reverse(): Reverses the elements in place.
lst = [1, 2, 3]
lst.reverse()
print(lst) # Output: [3, 2, 1]
⦁ copy(): Returns a shallow copy of the list.
lst = [1, 2]
new_lst = lst.copy()
print(new_lst) # Output: [1, 2]
📚 Built-in Functions for Lists (Common Cases)
⦁ len(lst): Returns the number of elements.
lst = [1, 2, 3]
print(len(lst)) # Output: 3
⦁ min(lst): Returns the smallest element (raises ValueError if empty).
lst = [3, 1, 2]
print(min(lst)) # Output: 1
⦁ max(lst): Returns the largest element.
lst = [3, 1, 2]
print(max(lst)) # Output: 3
⦁ sum(lst[, start=0]): Sums the elements (start adds an offset).
lst = [1, 2, 3]
print(sum(lst)) # Output: 6
⦁ sorted(lst, key=None, reverse=False): Returns a new sorted list (non-destructive).
lst = [3, 1, 2]
print(sorted(lst)) # Output: [1, 2, 3]
These cover all standard operations (O(1) for append/pop from end, O(n) for most others). Use slicing
lst[start:end:step] for advanced extraction, like lst[1:3] outputs ``.#python #lists #datastructures #methods #examples #programming
Please open Telegram to view this post
VIEW IN TELEGRAM
❤4👍2👏1