Home >> Jupyter - Learn Math & Python Coding
Why learn Python code?
Besides being easy to learn and to use, Python is arguably the most popular programming language.
Its list of users speaks for itself: NASA, Los Alamos, IBM, Disney, Industrial light & Magic, CIA, Google ... etc. More examples check out: wiki.python.org
What is Jupyter Notebook?
The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.
How do I access the Jupyter Notebook?
1. Use an on-line version.
The downside of this is, if there is inactivity for more than ten minutes the notebook will shut down. So make sure you keep saving your work.
Try it here:
2. Install Jupyter Notebook on your hard-drive.
The easiest way to do this is to install the 'Anaconda' package. This installs Python, Jupyter Notebook along with a host of other useful goodies.
After installation you can run Jupyter Notebook from the Anaconda folder on the 'Start Menu'.
Get Anaconda via this link:
What is the subject matter provided?
At present the subject matter centres around Algebra, and specifically Indices.
The difficulty level is aimed at 'intermediate', ages 13 - 17.
This first section will contain around eight notebooks.
How do I access the lessons?
Simply go to the Jupyter Notebooks 'downloads' page and download each notebook to your hard-drive.
Then start up the Jupiter Notebook, either on-line or from your own PC.
On the opening page(Files), look to the top right of the page. There you will find 'Upload'.
When you click on this a small window opens, inviting you to choose a file. Navigate to the notebook file(.ipynb) you wish to upload.
The chosen file name now appears in a text box to the left of the Jupyter Notebook page.
To upload the file click the blue 'upload' box to the right of the page.
The file will then appear alphabetically in the list. Then all you need do is click on the file to run it.
You should get in the habit of saving your work as you make changes.
Do this by clicking the mouse outside of a cell, and pressing 's' on the keyboard. As a further backup(say at the end of a session) download a copy of the notebook to your hard-drive :
File >> Download as >> Ipython Notebook(.ipynb)
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