Python Mini Project: URL Shortener

Here's the complete source code for the URL Shortener project using pyshorteners.
Perfect for beginners — clean, simple, and practical!

🔗 Turn long URLs into short ones
⚙️ Uses TinyURL (no API key needed)
🧠 Includes input validation + error handling

Feel free to tweak it, add Bitly support, or build a GUI on top!
Happy coding! 💻🚀

Special extra credits for our followers!
Just follow these steps:

→ Go to magicloops.com
→ Log in and go to your Account
→ Use the coupon code 'AKASH'
→ Enjoy your extra credits

Go grab yours now!

⚡️ Turn Your Python Script into a Full Web App — in Minutes!

Tired of building frontends from scratch for your AI tools?

Davia makes it insanely easy. Just write your Python logic, and let Davia handle the rest.

With just a few tweaks, you can:
🧠 | Add a simple decorator to your functions
🛠 | Auto-generate a sleek frontend using AI
🌐 | Deploy both frontend and backend instantly
🔑 | Connect APIs like Gemini or OpenAI with ease
📦 | Host everything — no servers or configs needed

Perfect for solo devs, indie hackers, or anyone building with Python.

💡 Try it now: davia.ai

Build powerful AI tools. No frontend stress.

🧠 How to Build Logic in Programming

👀 Understand the problem clearly
Read the question 2-3 times. Break it into small parts. Don't rush to code.

🪜 Think in steps, not code
Imagine solving it in real life. Write down the steps in simple language before jumping to code.

🧩 Start with simple problems
Practice basics like:
➡️ Find the largest of 3 numbers
➡️ Reverse a string
➡️ Check if a number is prime

🔍 Dry run your logic
Go through each line and see what it’s doing. This helps you understand how the logic flows.

📅 Practice daily
Logic building improves with consistency. The more problems you solve, the better you get.

Notes for Different Programming Languages & Topics ⤵️

Here’s a collection of Detailed notes across various programming languages and tech topics. Feel free to explore:

📚| Python eBook + 99 Projects with Source code & Explanation (Full Version)

📒| Java Handwritten Notes
📒| SQL Handwritten Notes
📒| Linux Notes
📒| AI & ML Digital Notes
📒| R Language Notes
📒| MongoDB Handwritten Notes
📒| SQL Handwritten Notes
📒| C++ Programming Notes
📒| DSA Handwritten Notes
📒| Machine Learning Notes
📒| JavaScript Handwritten Notes
📒| Python Notes (Short Version)

Don't forget to like ❤️ and share with friends so they can benefit too—completely free!

Thank You!✨

10 simple reasons to learn Python

1. Simple to Learn: Python looks like English, so it’s easy to read and write.

2. Perfect for Beginners: You don’t need any coding background to start learning Python.

3. Used Everywhere: Python is used in web apps, data science, AI, automation, and more.

4. Big Community: Millions of people use Python, so help is always available online.

5. Free Libraries: Python has ready-made tools that save you time and effort.

6. High Demand in Jobs: Many companies are hiring Python developers right now.

7. Works on Any Computer: Python runs on Windows, Mac, and Linux easily.

8. Automate Boring Tasks: You can use Python to save time by automating daily tasks.

9. Used by Top Companies: Big names like Google, Netflix, and Instagram use Python.

10. Great for AI and Machine Learning: Most AI and ML tools are built with Python, making it the top choice.

Hey everyone!

Please help me by filling out this quick Google Form — it’ll take just 2 minutes of your time:
👉 https://forms.gle/mxFBLSRvCC1XRzTA7

It’s related to Open Source Software, and your input as a developer, contributor, maintainer, or even just a user would mean a lot!

Once I get enough responses, I’ll be sharing the source code for a Reel Downloader with you all by this evening — so hurry up! 🙌

Thanks a lot! 💙

Project Name: Mind Reader 🤯✅

What You’ll Learn:⤵️

🔤 | Tkinter GUI (Labels, Buttons, Entry)
🛡 | Input validation
🔄 | Threading for non-blocking UI
📊 | Progress bar animation
🪟 | TopLevel window creation
📍 | Centering windows
📩 | Message boxes for alerts

[Note: It Just for Windows Power shell]

This is a very basic guide to customizing your PowerShell prompt using the Prompt function.

Once you understand these fundamentals, you can go much further with colors, Git integration, and advanced scripts.

Try it out and let me know how it goes!

👉 @akash_b1

Project Name: AI Weather Forecasting 🌦✅

What You’ll Learn:⤵️

🏷 | Tkinter GUI (Labels, Entry, Buttons)
📥 | User input validation
🔁 | Threading for smooth UI experience
📶 | Progress bar with animated status updates
🪟 | TopLevel windows for popups
🎯 | Centering windows dynamically
📬 | Message boxes for results and errors

Hey all,
Pyuibuilder (python gui builder) is giving away free pro licence in exchange for testimonials (limited seats).

If you have been wanting a licence you can apply here: https://tally.so/r/wMZ5L8

Thinking about moving to the U.S. but don’t know where to start? 🇺🇸

Migrator is helping international professionals—tech experts, creators, entrepreneurs—get their U.S. visas and Green Cards legally, quickly, and with real results.

Here’s how it works:
1️⃣ Fill out a short application
2️⃣ Get a free online consultation
3️⃣ If eligible, sign the contract and Migrator takes over
4️⃣ A licensed U.S. attorney handles your petition
5️⃣ Get your U.S. visa once approved

✅ 95% success rate
✅ Money-back guarantee if denied
✅ Legal, fast, and expert-backed

👉 Click here to apply for a free consultation

Guides Related to Python

👉 | Python ebook + Projects
👉 | Python Interview Preparation
👉 | Pandas eBook

Thanks a lot! 💙

Data Scientist Roadmap 📈

📂 Python Basics
∟📂 Numpy & Pandas
 ∟📂 Data Cleaning
  ∟📂 Data Visualization (Seaborn, Plotly)
   ∟📂 Statistics & Probability
    ∟📂 Machine Learning (Sklearn)
     ∟📂 Deep Learning (TensorFlow / PyTorch)
      ∟📂 Model Deployment
       ∟📂 Real-World Projects
        ∟✅ Apply for Data Science Roles

React "❤️" For More

Hey everyone!

Please help me by filling out this quick Google Form — it’ll take just 2 minutes of your time:
👉 https://forms.gle/mxFBLSRvCC1XRzTA7

It’s related to Open Source Software, and your input as a developer, contributor, maintainer, or even just a user would mean a lot!

Once I get enough responses, I’ll be sharing the source code for a Reel Downloader with you all by this evening — so hurry up! 🙌

Thanks a lot! 💙

Data Analyst Roadmap 📊

📂 Python Basics
∟📂 Numpy & Pandas
 ∟📂 Data Cleaning
  ∟📂 Data Visualization (Matplotlib, Seaborn)
   ∟📂 SQL for Data Analysis
    ∟📂 Excel & Google Sheets
     ∟📂 Statistics for Analysis
      ∟📂 BI Tools (Power BI / Tableau)
       ∟📂 Real-World Projects
        ∟✅ Apply for Data Analyst Roles

❤️ React for More!

AI/ML Roadmap 🤖
📂 Step 1: Math Foundation
∟📂 Linear Algebra (Vectors, Matrices, Eigenvalues)
∟📂 Probability & Statistics (Distributions, Bayes, Sampling)
∟📂 Calculus (Derivatives, Gradients, Chain Rule)
∟📂 Optimization (Gradient Descent, Cost Functions)

📂 Step 2: Computer Science Basics
∟📂 Algorithms & Data Structures
∟📂 Time and Space Complexity
∟📂 OOPs & Design Principles

📂 Step 3: Programming for ML
∟📂 Python / R / Julia (pick one)
 ∟📂 Numpy, Pandas
 ∟📂 Data Visualization (Matplotlib, Seaborn, Plotly)
 ∟📂 Data Preprocessing & Handling

📂 Step 4: Core Machine Learning
∟📂 ML Theory (Bias-Variance, Underfitting/Overfitting)
∟📂 Supervised Learning
∟📂 Unsupervised Learning
∟📂 Model Evaluation (Accuracy, ROC, Confusion Matrix)
∟📂 Scikit-Learn or Equivalent

📂 Step 5: Deep Learning
∟📂 Neural Networks Fundamentals
∟📂 Activation Functions, Loss Functions
∟📂 CNNs, RNNs, LSTMs
∟📂 Frameworks: TensorFlow or PyTorch

📂 Step 6: Specializations
∟📂 NLP (Text Classification, Transformers, BERT, LLMs)
∟📂 Computer Vision (Image Classification, Detection)
∟📂 Time Series Forecasting
∟📂 Recommendation Systems

📂 Step 7: MLOps & Deployment
∟📂 Model Packaging (Pickle, ONNX)
∟📂 Deployment (Flask, FastAPI, Streamlit)
∟📂 CI/CD & Cloud (AWS/GCP, Docker, MLflow)

📂 Step 8: Projects & Practice
∟📂 Kaggle Competitions
∟📂 Research Papers (arXiv, Papers with Code)
∟📂 GitHub Portfolio
  ∟📂 Resume + LinkedIn Optimization
   ∟✅ Apply for AI/ML Jobs or Internships

React "❤️" For More