🔧 1. Core Extensions for Python & Jupyter

These are essential for coding and interacting with data in Python.

✅ Python (by Microsoft)

• Adds support for Python, linting, IntelliSense, debugging.

• Automatically detects virtual environments.

✅ Jupyter (by Microsoft)

• Run Jupyter notebooks (.ipynb) directly in VS Code.

• Supports interactive data exploration and visualization.

✅ Pylance

• Fast, feature-rich language support for Python (type checking, auto-complete, etc.)

• Works best with the Python extension.

🧪 2. Data Manipulation & Visualization

These help in exploring, visualizing, and understanding datasets.

📊 Jupyter Notebook Renderers

• Rich output (HTML, LaTeX, plots) in VS Code notebooks.

🔍 Excel Viewer

• Quickly preview .csv or .xlsx files in table format inside VS Code.

🔗 Data Preview

• Allows you to visually explore .csv, .tsv, .json, .parquet etc.

• Great for inspecting datasets.

🧼 3. Code Quality & Formatting

🧹 Black Formatter

• Auto-formats your Python code to maintain clean and consistent style.

🧽 isort

• Automatically sorts imports in Python files.

🛡️ Flake8 / pylint

• Linting tools that help detect bugs and enforce coding standards.

🧠 4. AI & ML Specific

🤖 Kite / TabNine (AI Autocomplete)

• AI-powered code autocompletion.

• Helpful for writing Pandas/Numpy/Scikit-learn code faster.

🔬 MLflow

• Integrate MLflow model tracking and experiments if you’re using it locally.

🔍 5. Version Control & Collaboration

🧭 GitLens

• Supercharge Git in VS Code.

• See code authorship, commit history, blame annotations.

🤝 Live Share

• Collaborate in real-time with teammates on the same code/project.

🌐 6. Environment & Dependency Management

📦 Conda

• Helps manage Conda environments from VS Code directly.

📋 Requirements.txt / pipenv / Poetry extensions

• Auto-suggests and manages Python packages.

📄 7. Markdown & Documentation

📝 Markdown All in One

• Preview, format, and manage markdown docs for reports or READMEs.

📚 Docstring Generator

• Auto-generates Python docstrings (Google, NumPy, or reST style).

⚙️ 8. Productivity Boosters

🚀 Code Runner

• Quickly run Python scripts (and others) in an output window.

🧠 Bookmarks

• Place markers in code to easily navigate complex notebooks or scripts.

🧵 Indent Rainbow

• Color-coded indentation levels — helps in debugging nested code blocks.

📦 Bonus: Extensions for Web or Dashboard Projects (Optional)

If your Data Science project includes dashboards or web interfaces:

• 🌐 HTML/CSS/JS Extensions

• 🧩 Streamlit for VS Code

• 🧱 Flask Snippets

🔚 Summary Infographic (Text Version)

🧠 CORE:
  - Python
  - Jupyter
  - Pylance

📊 DATA HANDLING:
  - Data Preview
  - Excel Viewer

🧼 QUALITY:
  - Black Formatter
  - isort
  - Flake8 / pylint

🤖 AI & ML:
  - Kite / TabNine
  - MLflow

🔍 GIT & COLLAB:
  - GitLens
  - Live Share

📦 ENV MGMT:
  - Conda
  - pipenv / Poetry

📝 DOCS:
  - Markdown All in One
  - Docstring Generator

⚙️ PRODUCTIVITY:
  - Code Runner
  - Bookmarks
  - Indent Rainbow