Jupyter Notebook can be started using many ways, most common ones are-
- From the Windows or Mac search interface. Type “Jupyter Notebook” and it should show you to application to start
- From Anaconda prompt by typing “jupyter notebook” at the anaconda prompt
- For high graphics display such as with plotly package, you are advised to start the jupyter notebook using the following command- “jupyter notebook –NotebookApp.iopub_data_rate_limit=1e10”
Jupyter Notebook Start from Anaconda for High Resolution Graphics
otherwise you can get an error message similar to the one shown below-
Python Error Message for High Graphics Images
In this blog, I will show you how to setup your Python environment. However, let me first briefly talk about Python
- Python is easy to learn
- Codes are shorter and English like
- Most frequently used language for data science
- Open source and free
- Public support and forums
- Object oriented
- Suitable for machine learning and deep learning
Why Notebook Environment?
Here is an article that talks about that.
How to Setup the Environment?
Step 1– Download Anaconda Navigator based on your operating system (OS). Download Python 3.x version package.
Step 2– Start Anaconda Navigator. This may take sometime depending on your OS
Step 3– Start Jupyter Notebook by clicking on launch button. This will open a new tab in your preferred browser.
Please check out Anancoda Cheatsheet for frequently used commands
Step 4– Start a new notebook by clicking on new button. Select Python 3 for the kernel
If Anaconda Navigator is not starting or giving some issues you can try to reset the Anaconda Navigator by typing the below line in the Anaconda command prompt-
Step 5- You should see something as shown below. You are ready to write Python codes in Jupyter notebook environment now.
Step 6- Check the present working directory by typing the below command-