#INSTALL JUPYTER NOTEBOOK PYTHON 3.6 CODE#

This allows for keeping track of the order in which the cells in the notebook have been executed.įigure 3.9 below shows how things should look after you executed the code cell. Once the execution has terminated, the * will be replaced by a number that always increases by one with each cell execution.

While the code of the cell is being executed, a * will appear within the squared brackets of the “In :”. If there is no next cell (like in our example so far), a new cell will be created.

This will execute the currently active cell, place the produced output below the cell, and activate the next cell in the notebook. For this you simply have to click the run symbol button or press ‘SHIFT+Enter’ while in ‘Command mode’. Now that we have a cell with some Python code in our notebook, it is time to execute the code and show the output it produces in the notebook. A deleted cell can be recovered by pressing ‘Z’ while in ‘Command mode’ though. Undo with CTRL-Z works as expected for the content of a cell while in ‘Edit mode’ however, you cannot use it to undo changes made to the structure of the notebook such as moving cells around. You can always revert back to the last previously saved version (also referred to as a ‘Checkpoint’ in Jupyter) using File -> Revert to Checkpoint. The time of the last save will be shown at the top of the document, right next to the notebook name. You can do this by clicking the disk symbol or simply pressing ‘S’ while in ‘Command mode’. While Jupyter by default is configured to periodically autosave the notebook, this would be a good point to explicitly save the notebook with the newly added content. Then the package BeautifulSoup4 (bs4) is used for parsing the content of the file and we simply use it to print out the plain text content with all tags and other elements removed by invoking its get_text() method in the last line. It uses the requests Python package to read in the content of an html page from the URL that is provided in the documentURL variable.

This brief code example is similar to what you already saw in Lesson 2. Soup = BeautifulSoup(html, 'html.parser') Then enter the following Python code: from bs4 import BeautifulSoup Click on the text field of the second cell so that the bar on the left turns green and you have a blinking cursor at the beginning of the text field. Let’s start by putting some Python code into the second(!) cell of our notebook. The type of a cell can also be changed by using the keyboard shortcuts ‘Y’ for ‘Code’ and ‘M’ for ‘Markdown’ when in ‘Command mode’.įigure 3.8 Notebook with two cells with the second cell being a 'Code' cell When you do this, the “In :” will disappear and your notebook should look similar to Figure 3.8 below. To change the type of the first cell to Markdown, select that cell by clicking on it, then change the type from ‘Code’ to ‘Markdown’ in the dropdown menu in the toolbar at the top. This indicates that these are ‘Code’ cells, so the content will be interpreted by Jupyter as executable code. To get an overview on the different keyboard shortcuts, you can use Help -> Keyboard Shortcuts in the menu at the top.īoth cells that we have in our notebook now start with “In :” in front of the text field for the actual cell content. Both adding a cell above and below the current one can also be done by using the keyboard shortcuts ‘A’ and ‘B’ while in ‘Command mode’. In the ‘Insert’ menu at the top, you will also find the option to add a new cell above the currently active one. The new cell will be added below the first one and become the new active cell shown by the blue bar (and frame around the cell’s content). To add a second cell, you can simply click on the symbol. Let’s start with a simple example for which we need two cells, the first one with some heading and explaining text and the second one with some simple Python code. Clicking anywhere outside of the text area of a cell will change back to ‘Command mode’. When you click into the corresponding text field to add or modify the content of the cell, the bar color will change to green indicating that you are now in ‘Edit mode’. The notebook you created in the previous section currently consists of a single empty cell marked by a blue bar on the left that indicates that this is the currently active cell and that you are in ‘Command mode’.

Jupyter Notebook Tutorial: The Definitive GuideĪ Jupyter notebook is always organized as a sequence of so called ‘cells’ with each cell either containing some code or rich text created using the Markdown notation approach (further explained in a moment).

28 Jupyter Notebook tips, tricks, and shortcuts.

We cannot cover all the details here, so if you enjoy working with Jupyter and want to learn all it has to offer as well as all the little tricks that make life easier, the following resources may serve as good starting points: We will now explain the basics of editing a Jupyter Notebook.

Install jupyter notebook python 3.6