Tutorials › Python › Jupyter Notebooks for Data Analysis

Jupyter Notebooks for Data Analysis

Use Jupyter Notebook or JupyterLab — the standard environment for Python data work

Jupyter Notebook is the industry-standard environment for data analysis in Python. It lets you write code, see output, add formatted text, and embed charts — all in one document. Every data science and analyst team in tech companies uses Jupyter or a similar notebook environment (Google Colab, Databricks Notebooks, VS Code Notebooks). Learning to work effectively in Jupyter — keyboard shortcuts, cell organisation, magic commands — makes you faster and more professional.

Example

Essential Jupyter shortcuts and features
# INSTALL
# pip install jupyter
# OR install Anaconda — includes Jupyter

# LAUNCH
# jupyter notebook        (classic interface)
# jupyter lab             (modern interface — recommended)

# KEYBOARD SHORTCUTS (command mode — press Esc first)
# A         — insert cell Above
# B         — insert cell Below
# D, D      — delete selected cell
# M         — change to Markdown cell
# Y         — change to Code cell
# Shift+Enter  — run cell and move to next
# Ctrl+Enter   — run cell and stay

# MAGIC COMMANDS (run in a cell):
%timeit df.groupby("Region")["Revenue"].sum()  # measure speed
%matplotlib inline   # show plots inline (default in Jupyter)
%%time              # time entire cell execution

# USEFUL DISPLAY
df.head()       # auto-displays — no print() needed
df.shape        # (500, 8)
df              # renders as interactive table in Jupyter

Key Points

  • ✓Shift+Enter runs a cell and moves to the next — the most used shortcut
  • ✓Press Esc to enter command mode; Enter to enter edit mode
  • ✓Restart Kernel + Run All: use after finishing to verify the notebook runs top-to-bottom
  • ✓Markdown cells: add headers with #, ## and explanatory text between code cells
  • ✓Google Colab (colab.research.google.com) is a free Jupyter in the cloud — no install needed

Practice Question

In Jupyter Notebook, what does Shift+Enter do?