Python Coding

Lets Learn #Python with tips and tricks. Free Python Course: biz : [email protected] AI Community Partner. DM for Everything.

[Python Coding @clcoding]

What will be the output of the following Python code?

d = {}
print(d.setdefault("x", 0), d.setdefault("x", 9))

[Python Coding @clcoding]

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://t.co/U9S448HBwK

[Python Coding @clcoding]

Answer with Explanation: https://t.co/99Qp06E8B6

[Python Coding @clcoding]

What will be the output of the following Python code?

d = {}
print(d.setdefault("x", 0), d.setdefault("x", 9))

[Python Coding @clcoding]

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://t.co/EUncnQNmbL

[Python Coding @clcoding]

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://t.co/3YEjb92E8k

[Python Coding @clcoding]

@catmanyau Tell me your skills from above list.

[Python Coding @clcoding]

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?

Follow @clcoding for more Python, AI, and machine learning content.

[Python Coding @clcoding]

@remotecodetrol Yes, Celebrated in Asian country.

[Python Coding @clcoding]

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?

[Python Coding @clcoding]

@Eliopyr How are you learning? Tell me your path.

[Python Coding @clcoding]

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://t.co/zMj5E6ZyAy

[Python Coding @clcoding]

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://t.co/51hNOhZGLE

[Python Coding @clcoding]

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 interview preparation guide.

Books: https://t.co/m1uCNvvMDf

[Python Coding @clcoding]

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://t.co/NZVIGEKgZT

[Python Coding @clcoding]

Preparing for a Data Science interview? Start here.

Explore the Data Science Interview Preparation Guide covering:

Data Science & Statistics

Machine Learning & Deep Learning

SQL interview questions

Technical and culture-fit questions

Build your concepts, practice interview questions, and prepare for your next data science opportunity.

Read the full guide:
https://t.co/3ToOxdnQU2

Save this resource for your interview preparation!

[Python Coding @clcoding]

Answer with Explanation: https://t.co/3MHbk74igh

[Python Coding @clcoding]

What will be the output of the following Python code?

print({True: 1, 1: 2, 1.0: 3}[1])

[Python Coding @clcoding]

Still spending hours checking the same websites and copying updates by hand?

BrowserAct turns a repeatable web-data task into a reusable Bot. Describe the website and fields you need in plain language; BrowserAct explores and tests the live pages, then returns structured results you can review.

For example, if you need to track product names, prices, and availability across public pages, you can:

✅ Build and test a Bot without writing scraping code
✅ Collect the fields as structured records instead of copying each page manually
✅ Run the same Bot again when you need a fresh batch
✅ After publishing the Bot, schedule runs by hour, day, or week and choose email updates when the results change

Less repetitive checking. More useful data for your next analysis.

If you work with Python, data analysis, or web scraping, BrowserAct is worth exploring for the website data you need to revisit.

Explore BrowserAct: https://t.co/XM3HCS3DXS

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[Python Coding @clcoding]

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://t.co/zMj5E6Z0L0

[Python Coding @clcoding]

What will be the output of the following Python code?

print(min("10", "2", "30"))

[Python Coding @clcoding]

@ajs6888 Yes! Scanned PDFs can also be processed directly using Python. Libraries like PyMuPDF and pdf2image can help extract text or convert scanned pages into images, while OCR tools like Tesseract can recognize text from scanned documents.

[Python Coding @clcoding]

Build a Chat with PDF App Using Python Flask and Google AI Studio API

Code: https://t.co/JySmgjabLx