Zero to your first data analysis in about 15 minutes. No detours, no mystery errors.
- Go to python.org/downloads/windows.
- Download the latest Windows installer (
.exe, 64-bit). - Run the installer.
⚠️ Important: tick "Add python.exe to PATH" at the bottom of the window. Skipping this causes about 80% of beginner setup pain.- Click Install Now.
- Wait for the progress bar, then click Close.
Verify it worked (Command Prompt or PowerShell):
python --version
pip --versionBoth should print version numbers. If Windows says "not recognized", reinstall and check the PATH box.
-
Open VS Code (or Notepad++).
-
Paste this:
# Simple Python program for quick data summary data = [120, 250, 310, 180, 400] average_sales = sum(data) / len(data) print("Hello, Data World!") print(f"Average Sales: {average_sales}")
-
Save as
sales_summary.py(snake_case.py, see naming conventions). -
Open a terminal,
cdto the folder containing the file. -
Run:
python sales_summary.py
Expected output:
Hello, Data World!
Average Sales: 252.0
💡 Pro tip: do this inside a virtual environment. Full guide: notes-virtual-env.md.
-
Install the stack:
pip install jupyter pandas numpy matplotlib seaborn
-
cdto your project folder. -
Launch:
jupyter notebook
-
In the browser: New → Python 3 (ipykernel).
-
Rename it with
snake_case.ipynb, e.g.exploratory_data_analysis.ipynb. -
In the first cell:
import pandas as pd df = pd.DataFrame({ "Product": ["Laptop", "Mouse", "Keyboard"], "Sales": [55000, 1200, 2500] }) df.head()
-
Press
Shift+Enterto run it. Your first DataFrame is alive. 🎉
- Install the Python and Jupyter extensions.
- Create or open a
.ipynbfile. - Click Select Kernel (top right) and choose your project's Python or
venv.
You get notebooks, terminal, and Git in one window.
First Published Date: Aug 24, 2026
Last Updated Date: Sep 30, 2026
