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PyML Snippets

PyML Snippets

DevManish

|
8 installs
| (1) | Free
Boost your Python, Data Science & Machine Learning workflow with 42+ ready-to-use VS Code snippets for EDA, preprocessing, model evaluation, visualization, and more.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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PyML Snippets Logo

🚀 PyML Snippets

Supercharge your Python, Data Science & Machine Learning Workflow

Write cleaner code, save time, and boost productivity with 42+ ready-to-use Visual Studio Code snippets for Python, Data Science, Machine Learning, EDA, Data Preprocessing, Visualization, and Model Evaluation.

Version VS Code Python License


⭐ If this extension helps you, don't forget to Star the repository.


📖 Overview

PyML Snippets is a lightweight VS Code extension designed for Python developers, Data Scientists, Machine Learning Engineers, and students.

Instead of writing repetitive boilerplate code, simply type a short prefix and press Tab to generate complete code instantly.


✨ Features

  • 🚀 42+ Production-ready snippets
  • 🐍 Python development snippets
  • 📊 Data Science utilities
  • 🤖 Machine Learning models
  • 📈 Complete EDA templates
  • 🧹 Data preprocessing
  • 📉 Visualization snippets
  • 🎯 Model evaluation
  • ⚡ Train/Test Split
  • 🔍 GridSearchCV
  • 🔄 ML Pipelines
  • 🧠 Classification & Regression snippets

🎥 Demo

PyML Snippets Demo

Example:

Type

tts

↓

Press TAB

↓

from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(...)

🚀 Quick Start

1. Open a Python file

Create or open any .py file.


2. Type a snippet prefix

Example

tts

3. Press

TAB

Done ✅


📚 Snippet Library

Prefix Description
npm Common Python Imports
csv Read CSV
tts Train Test Split
scaler StandardScaler
minmax MinMaxScaler
one One Hot Encoding
label Label Encoding
metrics Classification Metrics
clfevl Classification Evaluation
regeval Regression Evaluation
fitpred Train & Predict
pipeline Pipeline
grid GridSearchCV
compareclf Compare Classifiers
comparereg Compare Regressors
makeclf Classification Dataset
makereg Regression Dataset
binaryclf Binary Dataset
imbclf Imbalanced Dataset
ctonehot ColumnTransformer
gaussian GaussianNB
logistic Logistic Regression
knn KNN
svc Support Vector Machine
rfc Random Forest
dt Decision Tree Classifier
dtr Decision Tree Regressor
linear Linear Regression
ridge Ridge Regression
lasso Lasso Regression
elastic ElasticNet
extra Extra Trees
ada AdaBoost
gb Gradient Boosting
histgb HistGradientBoosting
eda Complete EDA
edashort Quick EDA
edaplot EDA Visualization
heat Correlation Heatmap
hist Histogram
scatter Scatter Plot
count Count Plot

💡 Why PyML Snippets?

✅ Save hours of repetitive coding

✅ Write cleaner code

✅ Learn faster

✅ Improve productivity

✅ Beginner Friendly

✅ Perfect for Data Science projects


🎯 Who is this for?

  • Python Developers
  • Data Scientists
  • Machine Learning Engineers
  • AI Enthusiasts
  • College Students
  • Kaggle Users
  • Researchers

📦 Installation

From VS Code Marketplace

  1. Open Extensions
  2. Search PyML Snippets
  3. Click Install

Manual Installation

Install the generated .vsix file using:

Extensions
↓

...

↓

Install from VSIX...

🛣️ Roadmap

Upcoming updates:

  • Pandas snippets
  • NumPy snippets
  • Seaborn snippets
  • Matplotlib snippets
  • XGBoost
  • LightGBM
  • CatBoost
  • TensorFlow
  • PyTorch
  • SHAP
  • Optuna
  • SQL snippets

🤝 Contributing

Contributions are welcome!

Feel free to open an Issue or submit a Pull Request.


👨‍💻 Developer

Dev_Manish

Python Developer • Data Science • Machine Learning • AI

GitHub

https://github.com/Developer-Manish007


📄 License

MIT License


⭐ Star this repository if you find it useful!

Made with ❤️ by Dev_Manish

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