Python Notebook
Python Notebook:
Python notebooks, also known as Jupyter notebooks, provide an interactive computational environment where you can write and execute Python code, as well as create and share documents that contain live code, equations, visualizations, and explanatory text.
To get started with Python notebooks, you’ll need to follow these steps:
Step 1: Install Jupyter Notebook
Install Python: If you don’t have Python installed, you can download and install it from the official Python website (https://www.python.org). Make sure to choose the appropriate version for your operating system.
Install Jupyter Notebook: Once Python is installed, open a command prompt or terminal and run the following command to install Jupyter Notebook using pip (Python’s package manager):
pip install jupyter
Step 2: Launch Jupyter Notebook
Open a command prompt or terminal and navigate to the directory where you want to create your notebook.
Run the following command to start Jupyter Notebook:
jupyter notebook
This will open a new tab in your web browser displaying the Jupyter Notebook interface.
Step 3: Create a new notebook
In the Jupyter Notebook interface, click on the “New” button and select “Python 3” to create a new notebook.
This will open a new notebook with an empty code cell.
Step 4: Write and execute code
In the code cell, you can start writing your Python code. Type your code in the cell and press Shift+Enter to execute it.
You can add new cells by clicking the “+” button in the toolbar or using the keyboard shortcut “B” (to insert a cell below) or “A” (to insert a cell above).
You can also change the cell type to markdown by selecting “Markdown” from the dropdown menu in the toolbar. Markdown cells are used to write text, add headings, format the content, and include images or links.
To execute a code cell, press Shift+Enter or click the “Run” button in the toolbar.
That’s it! You can continue writing and executing code in different cells, and the output will be displayed below each cell. You can save your notebook by clicking on “File” -> “Save and Checkpoint” or by using the keyboard shortcut “Ctrl+S”.
Remember to restart the kernel (under the “Kernel” menu) if you encounter any issues with your code or if you want to clear all the variables and start fresh.
Python Training Demo Day 1
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