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@@ -6,7 +6,6 @@ Jupyter Notebooks are often used for data science and scientific computing such
*Note on the difference between Notebook and Lab: Jupyter Notebook offers a simplified, lightweight notebook authoring experience, where as, JupyterLab offers a feature-rich, tabbed multi-notebook editing environment with additional tools like a customizable interface layout and system console*
----
## Setup and Installation
Installing with Conda using CLI:
- `conda install jupyter`
@@ -19,8 +18,6 @@ Jupyter can also be installed using a Anaconda Navigator
- Tabs and file browser
- Kernel and terminals
----
-
## Notebook Basics
- Creating a new notebook (`.ipynb`)
- Types of cells:
@@ -32,8 +29,6 @@ Jupyter can also be installed using a Anaconda Navigator
- Restarting the kernel
- Saving and auto-checkpoints
----
-
## Writing and Running Code
- Python syntax:
- `print("Hello, world!")`
@@ -44,8 +39,6 @@ Jupyter can also be installed using a Anaconda Navigator
- `import pandas as pd`
- `import matplotlib.pyplot as plt`
----
-
## Using Markdown
- Headers: `#`, `##`, `###`
- Bullet lists: `- item`
@@ -57,8 +50,6 @@ Jupyter can also be installed using a Anaconda Navigator
- Embedding links and images
-
----
## Interactive Widgets (optional)
Install `ipywidgets` from your package manager
@@ -75,7 +66,6 @@ interact(lambda x: x**2, x=5)
```
----
## Productivity Tips
Here are some keyboard shortcuts to improve your productivity when writing in notebooks.
@@ -90,8 +80,6 @@ Here are some keyboard shortcuts to improve your productivity when writing in no
Splitting and merging cells
Auto-save behavior
----
-
## Exporting and Sharing
- File > Download As:
- Notebook (`.ipynb`)