[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

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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

10 simple tips for programming Beginners 🐣

⚡️| Practice coding every day.
⚡️| Learn the basic concepts well.
⚡️| Break problems into small steps.
⚡️| Read and learn from error messages.
⚡️| Start with simple beginner projects.
⚡️| Study other people's code.
⚡️| Try solving problems before asking for help.
⚡️| Write clear, well-commented code.
⚡️| Use free online learning resources.
⚡️| Be patient and persistent.

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! 💙

Build AI agents in TypeScript, fast.

VoltAgent is an open-source framework with built-in LLM observability, memory, tools, and sub-agents.

🔗 https://github.com/voltagent/voltagent

If you like it, drop a ⭐️ on GitHub!

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Debugging mobile apps shouldn’t feel like detective work.

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Try the free demo app (iOS & Android) and see how much faster debugging can be.

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If you like it, share it with your dev team 🚀

make sure you have ffmpeg install.

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

Guides Related to Python

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

Thanks a lot! 💙