Daily Python Question – Day 1263
Can you predict the output of this Python code?
class Counter:
def init(self):
self.x = 0
def call(self):
self.x += 2
return self.x
c = Counter()
print(c(), c(), c())
Options:
A) 2 2 2
B) 0 2 4
C) 2 4 6
D) 1 2 3
Hint: What happens when an object implements the call() method?
Comment your answer below! 👇
Find the correct answer with a detailed explanation at https://www.clcoding.com/2026/10/python-coding-challenge-day-1263-what.html
Can you predict the output of this Python code?
class Counter:
def init(self):
self.x = 0
def call(self):
self.x += 2
return self.x
c = Counter()
print(c(), c(), c())
Options:
A) 2 2 2
B) 0 2 4
C) 2 4 6
D) 1 2 3
Hint: What happens when an object implements the call() method?
Comment your answer below! 👇
Find the correct answer with a detailed explanation at https://www.clcoding.com/2026/10/python-coding-challenge-day-1263-what.html
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Find the IMDb Rating of Any Movie Using Python!
Want to fetch movie ratings with Python? You can use the IMDbPY library to search for movies and retrieve their IMDb ratings with just a few lines of code.
What you'll learn:
Search for a movie by name
Fetch movie details using Python
Retrieve its IMDb rating
Handle movies that aren't found
Example Output:
Enter the name of the movie: Titanic
The IMDb rating of 'Titanic' is: 7.9
A simple Python project to practice working with libraries, functions, user input, and external data.
Save this post and try it yourself!
6 Python Books You Can Download for FREE!
https://www.clcoding.com/2025/10/6-python-books-you-can-download-for-free.html
Want to fetch movie ratings with Python? You can use the IMDbPY library to search for movies and retrieve their IMDb ratings with just a few lines of code.
What you'll learn:
Search for a movie by name
Fetch movie details using Python
Retrieve its IMDb rating
Handle movies that aren't found
Example Output:
Enter the name of the movie: Titanic
The IMDb rating of 'Titanic' is: 7.9
A simple Python project to practice working with libraries, functions, user input, and external data.
Save this post and try it yourself!
6 Python Books You Can Download for FREE!
https://www.clcoding.com/2025/10/6-python-books-you-can-download-for-free.html
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WE’RE GOING LIVE! | October Python Bootcamp — Day 11
Ready to write cleaner, smarter, and more efficient Python code?
Today, we're exploring Comprehensions & Patterns in Python — powerful techniques to simplify your code and improve your problem-solving skills.
Today's Topics:
List Comprehensions
Dictionary Comprehensions
Set Comprehensions
Conditional Comprehensions
Nested Comprehensions
Python Pattern Problems
Problem-Solving Techniques
Learn through practical examples, write code with me, and strengthen your Python fundamentals.
JOIN THE LIVE SESSION NOW!
▶️ Watch on YouTube:
https://youtube.com/live/YUQIEN27urY?feature=share
Whether you're a beginner or preparing for coding interviews, this session will help you become a more confident Python programmer.
Comment “PYTHON” if you're joining today's live session!
Learn. Practice. Solve Problems. Grow.
Ready to write cleaner, smarter, and more efficient Python code?
Today, we're exploring Comprehensions & Patterns in Python — powerful techniques to simplify your code and improve your problem-solving skills.
Today's Topics:
List Comprehensions
Dictionary Comprehensions
Set Comprehensions
Conditional Comprehensions
Nested Comprehensions
Python Pattern Problems
Problem-Solving Techniques
Learn through practical examples, write code with me, and strengthen your Python fundamentals.
JOIN THE LIVE SESSION NOW!
▶️ Watch on YouTube:
https://youtube.com/live/YUQIEN27urY?feature=share
Whether you're a beginner or preparing for coding interviews, this session will help you become a more confident Python programmer.
Comment “PYTHON” if you're joining today's live session!
Learn. Practice. Solve Problems. Grow.
❤1
Python quiz of the Day
Python Coding Challenge - Question with Answer (ID 191026)
Answer with Explanation: https://www.clcoding.com/2026/10/python-coding-challenge-id-191026.html
Python Coding Challenge - Question with Answer (ID 191026)
Answer with Explanation: https://www.clcoding.com/2026/10/python-coding-challenge-id-191026.html
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Foundations of AI and Machine Learning — Enroll for FREE!
Want to build your skills in Artificial Intelligence and Machine Learning? Start learning with this course from Microsoft on Coursera.
What you’ll learn:
AI and Machine Learning fundamentals
Data cleaning and preprocessing
Data pipelines and management
Machine Learning frameworks, including TensorFlow and PyTorch
Model evaluation and deployment
AI/ML infrastructure and MLOps
Course details:
Platform: Coursera
Instructor: Microsoft
Duration: Approximately 4 weeks
Level: Intermediate
Learn at your own pace
Enroll here: https://www.clcoding.com/2025/11/foundations-of-ai-and-machine-learning.html
Want to build your skills in Artificial Intelligence and Machine Learning? Start learning with this course from Microsoft on Coursera.
What you’ll learn:
AI and Machine Learning fundamentals
Data cleaning and preprocessing
Data pipelines and management
Machine Learning frameworks, including TensorFlow and PyTorch
Model evaluation and deployment
AI/ML infrastructure and MLOps
Course details:
Platform: Coursera
Instructor: Microsoft
Duration: Approximately 4 weeks
Level: Intermediate
Learn at your own pace
Enroll here: https://www.clcoding.com/2025/11/foundations-of-ai-and-machine-learning.html
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10 AI Skills You Need to Know in 2026
AI is evolving fast. Learning to use AI tools is no longer enough. You need to understand how to build, integrate, and manage AI-powered solutions.
Here are 10 AI skills worth learning:
1️⃣ Prompt Engineering — Write better prompts.
2️⃣ AI Agents — Build systems that use tools and perform tasks.
3️⃣ Workflow Automation — Automate repetitive work with Zapier, Make, and n8n.
4️⃣ Agentic AI — Build systems that plan, act, and evaluate results.
5️⃣ Multimodal AI — Work with text, images, audio, and video.
6️⃣ RAG — Connect LLMs to your own data.
7️⃣ AEO / GEO — Optimize content for AI-powered search.
8️⃣ AI Orchestration — Connect AI models, APIs, and apps.
9️⃣ AI Content Generation — Create text, images, and videos.
🔟 LLMOps — Monitor AI quality, cost, and performance.
My advice: Start with Python and APIs, then learn AI agents, RAG, and LLMOps.
You don't need to master everything at once. Build projects and learn by doing.
Which AI skill are you learning in 2026?
AI is evolving fast. Learning to use AI tools is no longer enough. You need to understand how to build, integrate, and manage AI-powered solutions.
Here are 10 AI skills worth learning:
1️⃣ Prompt Engineering — Write better prompts.
2️⃣ AI Agents — Build systems that use tools and perform tasks.
3️⃣ Workflow Automation — Automate repetitive work with Zapier, Make, and n8n.
4️⃣ Agentic AI — Build systems that plan, act, and evaluate results.
5️⃣ Multimodal AI — Work with text, images, audio, and video.
6️⃣ RAG — Connect LLMs to your own data.
7️⃣ AEO / GEO — Optimize content for AI-powered search.
8️⃣ AI Orchestration — Connect AI models, APIs, and apps.
9️⃣ AI Content Generation — Create text, images, and videos.
🔟 LLMOps — Monitor AI quality, cost, and performance.
My advice: Start with Python and APIs, then learn AI agents, RAG, and LLMOps.
You don't need to master everything at once. Build projects and learn by doing.
Which AI skill are you learning in 2026?
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Free Machine Learning PDF: Pen and Paper Exercises in Machine Learning
Want to strengthen your Machine Learning fundamentals without relying entirely on code?
Pen and Paper Exercises in Machine Learning is a learning resource for practicing ML concepts through mathematical reasoning and step-by-step problem-solving.
What you can explore:
Machine Learning concepts and mathematical foundations
Problem-solving through pen-and-paper exercises
Analytical thinking for ML algorithms
Practice to strengthen your understanding of ML theory
PDF Length: 211 Pages
Resource: Free PDF
Read and access the resource:
https://www.clcoding.com/2026/08/pen-and-paper-exercises-in-machine.html
Want to strengthen your Machine Learning fundamentals without relying entirely on code?
Pen and Paper Exercises in Machine Learning is a learning resource for practicing ML concepts through mathematical reasoning and step-by-step problem-solving.
What you can explore:
Machine Learning concepts and mathematical foundations
Problem-solving through pen-and-paper exercises
Analytical thinking for ML algorithms
Practice to strengthen your understanding of ML theory
PDF Length: 211 Pages
Resource: Free PDF
Read and access the resource:
https://www.clcoding.com/2026/08/pen-and-paper-exercises-in-machine.html
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Draw circuit diagrams using Python!
Did you know you can create electrical circuit diagrams with Python instead of drawing them manually?
Using the schemdraw library, you can programmatically create circuit diagrams with components such as:
Batteries and voltage sources
Resistors and capacitors
LEDs and other electronic components
Wires and complete circuit layouts
Why use Schemdraw?
It makes circuit visualization easier, helps automate technical diagrams, and is useful for students, engineers, educators, and Python developers.
Start experimenting with Python and electronics by turning a few lines of code into a visual circuit diagram.
This book is designed for learners, developers, and professionals who want to eliminate repetitive tasks, boost productivity, and build real-world automation systems from scratch.
https://link.amazon/A09ZSuiFn
Did you know you can create electrical circuit diagrams with Python instead of drawing them manually?
Using the schemdraw library, you can programmatically create circuit diagrams with components such as:
Batteries and voltage sources
Resistors and capacitors
LEDs and other electronic components
Wires and complete circuit layouts
Why use Schemdraw?
It makes circuit visualization easier, helps automate technical diagrams, and is useful for students, engineers, educators, and Python developers.
Start experimenting with Python and electronics by turning a few lines of code into a visual circuit diagram.
This book is designed for learners, developers, and professionals who want to eliminate repetitive tasks, boost productivity, and build real-world automation systems from scratch.
https://link.amazon/A09ZSuiFn
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Python Pattern Challenge — Day 30
Ready to sharpen your Python coding skills?
Welcome to Day 30 of the Python Pattern Challenge by CLCODING!
Pattern programming is a great way to improve your understanding of:
Python loops and nested loops
Conditional statements
Logical thinking and problem-solving
Number and character patterns
Core programming fundamentals
Your challenge for today: Try solving the pattern yourself before checking the solution. Focus on understanding the logic, not just copying the code.
Practice consistently. One pattern a day can make a real difference in your coding journey.
Challenge link: https://www.clcoding.com/2026/10/python-pattern-challenge-day-30.html
Ready to sharpen your Python coding skills?
Welcome to Day 30 of the Python Pattern Challenge by CLCODING!
Pattern programming is a great way to improve your understanding of:
Python loops and nested loops
Conditional statements
Logical thinking and problem-solving
Number and character patterns
Core programming fundamentals
Your challenge for today: Try solving the pattern yourself before checking the solution. Focus on understanding the logic, not just copying the code.
Practice consistently. One pattern a day can make a real difference in your coding journey.
Challenge link: https://www.clcoding.com/2026/10/python-pattern-challenge-day-30.html
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Convert RGB Colors to Hex Codes Using Python!
Want to convert color names into HEX codes with Python? Use the webcolors library to make it simple.
pip install webcolors
from webcolors import name_to_hex
color = "skyblue"
print(name_to_hex(color))
# Output: #87ceeb
Why learn this?
Work with colors in web development
Create custom data visualizations
Build Python graphics and design tools
Use HEX codes in HTML, CSS, and UI projects
Small Python scripts can solve real-world problems!
Follow CLCODING for more Python tips, coding examples, and AI updates.
Bootcamp: https://chat.whatsapp.com/LS93hzXRl0ZJqbARzOOXNE
Want to convert color names into HEX codes with Python? Use the webcolors library to make it simple.
pip install webcolors
from webcolors import name_to_hex
color = "skyblue"
print(name_to_hex(color))
# Output: #87ceeb
Why learn this?
Work with colors in web development
Create custom data visualizations
Build Python graphics and design tools
Use HEX codes in HTML, CSS, and UI projects
Small Python scripts can solve real-world problems!
Follow CLCODING for more Python tips, coding examples, and AI updates.
Bootcamp: https://chat.whatsapp.com/LS93hzXRl0ZJqbARzOOXNE
❤2
Python quiz of the Day
Python Coding Challenge - Question with Answer (ID 201026)
Answer with Explanation: https://www.clcoding.com/2026/10/python-coding-challenge-id-201026.html
Python Coding Challenge - Question with Answer (ID 201026)
Answer with Explanation: https://www.clcoding.com/2026/10/python-coding-challenge-id-201026.html
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My Roadmap to Becoming an AI/ML Engineer.
Python & NumPy ✅ — Master the fundamentals and practice numerical computing.
Data Foundations — Learn Pandas, SQL, PostgreSQL, and Git. Build a data analysis project.
Math & Classical ML — Study statistics, linear algebra, scikit-learn, and XGBoost. Build your first ML model.
Deep Learning & Transformers — Learn PyTorch and Hugging Face. Build a neural network and a transformer-based application.
LLM Engineering & AI Agents — Learn RAG, vector databases, LoRA/QLoRA, and AI agents. Build a document-based AI assistant.
Production AI — Learn FastAPI, Docker, CI/CD, MLflow, and AWS. Deploy your AI application.
The goal isn't just to finish tutorials. It's to build projects, solve real problems, and create a portfolio.
One step at a time. One project at a time.
Bootcamp: https://chat.whatsapp.com/LS93hzXRl0ZJqbARzOOXNE
Python & NumPy ✅ — Master the fundamentals and practice numerical computing.
Data Foundations — Learn Pandas, SQL, PostgreSQL, and Git. Build a data analysis project.
Math & Classical ML — Study statistics, linear algebra, scikit-learn, and XGBoost. Build your first ML model.
Deep Learning & Transformers — Learn PyTorch and Hugging Face. Build a neural network and a transformer-based application.
LLM Engineering & AI Agents — Learn RAG, vector databases, LoRA/QLoRA, and AI agents. Build a document-based AI assistant.
Production AI — Learn FastAPI, Docker, CI/CD, MLflow, and AWS. Deploy your AI application.
The goal isn't just to finish tutorials. It's to build projects, solve real problems, and create a portfolio.
One step at a time. One project at a time.
Bootcamp: https://chat.whatsapp.com/LS93hzXRl0ZJqbARzOOXNE
❤1
Happy Dussehra using Python!
Celebrate the victory of good over evil with a little Python magic.
Using pyfiglet and colorama, you can create colorful terminal greetings with just a few lines of code.
Let your code spread positivity, creativity, and knowledge.
Happy Dussehra from CLCODING!
What other festivals should we celebrate with Python?
9 New FREE Machine Learning, Statistics & Python PDF Resources Released https://x.com/clcoding/status/2075276177179292150
Celebrate the victory of good over evil with a little Python magic.
Using pyfiglet and colorama, you can create colorful terminal greetings with just a few lines of code.
Let your code spread positivity, creativity, and knowledge.
Happy Dussehra from CLCODING!
What other festivals should we celebrate with Python?
9 New FREE Machine Learning, Statistics & Python PDF Resources Released https://x.com/clcoding/status/2075276177179292150
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Mathematics of Deep Learning — Free PDF (333 Pages)
Want to understand the mathematics behind deep learning?
Explore Mathematics of Deep Learning: An Introduction, a De Gruyter textbook that introduces the mathematical foundations behind modern deep learning techniques.
What you can learn:
Mathematical foundations of deep learning
Linear algebra and matrix operations
Calculus and optimization concepts
Neural networks and their mathematical principles
The theory behind modern AI models
Perfect for students, researchers, data scientists, and machine learning enthusiasts who want to strengthen their mathematical understanding of AI.
333 pages of learning
Read more and access the resource:
https://www.clcoding.com/2026/08/mathematics-of-deep-learning.html
Want to understand the mathematics behind deep learning?
Explore Mathematics of Deep Learning: An Introduction, a De Gruyter textbook that introduces the mathematical foundations behind modern deep learning techniques.
What you can learn:
Mathematical foundations of deep learning
Linear algebra and matrix operations
Calculus and optimization concepts
Neural networks and their mathematical principles
The theory behind modern AI models
Perfect for students, researchers, data scientists, and machine learning enthusiasts who want to strengthen their mathematical understanding of AI.
333 pages of learning
Read more and access the resource:
https://www.clcoding.com/2026/08/mathematics-of-deep-learning.html
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Python Developers, We've All Been There!
First, you learn about Python lists.
Then, you discover .copy() and think you've mastered copying.
Next, you explore copy.deepcopy() and feel like a Python expert.
And finally... you decide to write your own recursive copy function!
But here's the real Python lesson:
✅ b = a → Both variables reference the same list.
✅ b = a.copy() → Creates a shallow copy.
✅ b = copy.deepcopy(a) → Creates an independent deep copy of nested objects.
✅ Custom recursive copy → Great for learning recursion, but easy to miss edge cases!
Remember: Writing more code doesn't always mean writing better code. Sometimes, Python's built-in tools are all you need!
Python developers, be honest: Which stage are you at right now?
Master Senior-Level Python Interviews with Confidence!
Are you preparing for senior Python developer interviews at top tech companies? Looking to strengthen your understanding of Python from core fundamentals to advanced concepts? This book is your complete
First, you learn about Python lists.
Then, you discover .copy() and think you've mastered copying.
Next, you explore copy.deepcopy() and feel like a Python expert.
And finally... you decide to write your own recursive copy function!
But here's the real Python lesson:
✅ b = a → Both variables reference the same list.
✅ b = a.copy() → Creates a shallow copy.
✅ b = copy.deepcopy(a) → Creates an independent deep copy of nested objects.
✅ Custom recursive copy → Great for learning recursion, but easy to miss edge cases!
Remember: Writing more code doesn't always mean writing better code. Sometimes, Python's built-in tools are all you need!
Python developers, be honest: Which stage are you at right now?
Master Senior-Level Python Interviews with Confidence!
Are you preparing for senior Python developer interviews at top tech companies? Looking to strengthen your understanding of Python from core fundamentals to advanced concepts? This book is your complete
❤1
Python Pattern Challenge — Day 31
Ready to test your Python coding skills?
Today's challenge is here! Put your logic, loops, and pattern-printing skills to the test.
Why practice Python patterns?
Improve logical thinking
Master nested loops
Strengthen problem-solving skills
Prepare for coding interviews
Your Day 31 challenge is waiting!
Try solving it yourself before checking the solution.
Practice here: https://www.clcoding.com/2026/10/python-pattern-challenge-day-31.html
Ready to test your Python coding skills?
Today's challenge is here! Put your logic, loops, and pattern-printing skills to the test.
Why practice Python patterns?
Improve logical thinking
Master nested loops
Strengthen problem-solving skills
Prepare for coding interviews
Your Day 31 challenge is waiting!
Try solving it yourself before checking the solution.
Practice here: https://www.clcoding.com/2026/10/python-pattern-challenge-day-31.html
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Did You Know? Python Sets Support Mathematical Operations!
Python sets make it easy to compare collections of unique values using powerful mathematical operations.
Here are 4 essential set operations every Python developer should know:
🔹 Union (|) — Combines elements from both sets.
🔹 Intersection (&) — Returns common elements.
🔹 Difference (-) — Finds elements present in one set but not the other.
🔹 Symmetric Difference (^) — Returns elements that appear in either set, but not both.
Numerical Python for Astronomy and Astrophysics is a comprehensive, hands-on guide that bridges the gap between computational methods and modern astronomical research.
https://link.amazon/B011N2cLr
Python sets make it easy to compare collections of unique values using powerful mathematical operations.
Here are 4 essential set operations every Python developer should know:
🔹 Union (|) — Combines elements from both sets.
🔹 Intersection (&) — Returns common elements.
🔹 Difference (-) — Finds elements present in one set but not the other.
🔹 Symmetric Difference (^) — Returns elements that appear in either set, but not both.
Numerical Python for Astronomy and Astrophysics is a comprehensive, hands-on guide that bridges the gap between computational methods and modern astronomical research.
https://link.amazon/B011N2cLr
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Build 20 AI & Machine Learning GUI Applications using Python!
Want to turn your Python skills into real-world AI projects?
Explore 20 GUI application ideas that combine Python, AI, and Machine Learning to help you learn by building practical projects.
Learn. Build. Experiment. Improve your skills.
Read the complete guide:
https://www.clcoding.com/2026/10/make-20-ai-machine-learning-gui.html
Want to turn your Python skills into real-world AI projects?
Explore 20 GUI application ideas that combine Python, AI, and Machine Learning to help you learn by building practical projects.
Learn. Build. Experiment. Improve your skills.
Read the complete guide:
https://www.clcoding.com/2026/10/make-20-ai-machine-learning-gui.html
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Python Quiz of the Day
Python Coding Challenge - Question with Answer (ID 211026)
Answer with Explanation: https://www.clcoding.com/2026/10/python-coding-challenge-id-21026.html
Python Coding Challenge - Question with Answer (ID 211026)
Answer with Explanation: https://www.clcoding.com/2026/10/python-coding-challenge-id-21026.html
Want to learn mobile app development with React Native?
HarvardX's CS50 course introduces you to building cross-platform mobile applications using React Native.
What you'll explore:
Mobile app development fundamentals
React Native and reusable components
Building apps for multiple platforms
Self-paced learning with a structured 13-week course
The course is archived, but you can still access the course materials.
A great resource for developers looking to expand their skills beyond web development.
Detailed Explanation: https://www.clcoding.com/2025/08/harvardx-cs50s-mobile-app-development.html
HarvardX's CS50 course introduces you to building cross-platform mobile applications using React Native.
What you'll explore:
Mobile app development fundamentals
React Native and reusable components
Building apps for multiple platforms
Self-paced learning with a structured 13-week course
The course is archived, but you can still access the course materials.
A great resource for developers looking to expand their skills beyond web development.
Detailed Explanation: https://www.clcoding.com/2025/08/harvardx-cs50s-mobile-app-development.html
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