What can I do inside a Jupyter notebook?

MORGAN KATZ
2 min readMay 29, 2020

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Inside the Notebook, the interface is 1 blank horizontal cell with typical file menu options running atop. The cell can contain Code (python) or Markdown (text). The cell numbers are a history of executed code or markdown.

Different things I can do inside the Jupyter Notebook:

From the selected cell: Command Mode = esc, Edit Mode = enter

From Edit Mode: M = markdown, Y = code

Import Pandas to Jupyter Notebook: import pandas as pd

Import a .csv file: df = pd.read_csv(“heart-disease.csv”)

Jupyter is awesome because you can view data immediately! Here’s how:

Display first 5 rows: df.head()

Display first 10 rows: df.head(10)

Shortcuts: New cell below = B, New cell above = A, Delete cell = DD

Can run code, text and images all within the same space. Can also run terminal commands.

Sharing my environment with someone else will allow the other party to re-create a test that I have done. This is done by exporting a .yml file of the environment in Conda.

Sharing Conda by exporting a .yml file: conda env export > (file name).yml

Must be in active Conda environment to export (conda activate c:\users\(user)\desktop\sample_project_1\env)

Once exported, the file can be shared — don’t forget to share the associated pictures or .cvs files!

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MORGAN KATZ
MORGAN KATZ

Written by MORGAN KATZ

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Business Analyst with an MBA in Business Intelligence. Machine learning student. Exploring data through analysis and solving problems using ML tools.

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