basics of jupyter notebook and python pdf

Basics Of Jupyter Notebook And Python Pdf

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This notebook contains material from CBE ; content is available on Github. The purpose of this Jupyter Notebook is to get you started using Python and Jupyter Notebooks for routine chemical engineering calculations. This introduction assumes this is your first exposure to Python or Jupyter notebooks.

How to Export Jupyter Notebooks into Other Formats

Learning never stops. I am, however, super excited about all of the papers and stream of video releases over the last month and I encourage you to register for the upcoming live event in June. Also, be sure to check out Hunter's How To Tutorial video on this topic. This post elaborates on one piece of his material: how to save Jupyter notebooks in other file formats.

His focus is on SAS programming and he requires his students to create notebooks to complete assignments; however he wants to see the results of their work, not to run their raw code. The notebooks include text, code, images, reports, etc.

Let's explore how the students can transform their navitve notebooks into other, more consumable formats. We'll also discuss other use cases in which SAS users may want to create a copy of their work from a notebook, to say a.

Many of the processes discussed below are language agnostic. A Jupyter notebook is a web application allowing clients to run commands, view responses, include images, and write inline text all in one concourse.

The all-encompassing notebook supports users to telling complete story without having to use multiple apps. Jupyter notebooks were originally created for the Python language, and are now available for many other programming languages. The functionality in this use case is similar.

Where do we start? The easiest way to get started with the Jupyter Notebook App is by installing Anaconda this will also install JupyterLab. Anaconda is an open source distribution tool for the management and deployment of scientific computing. Out-of-the-box, the notebook from the Anaconda install includes the Python kernel.

For use with other languages, you need to install additional kernels. The Python kernel is readily available after the Anaconda install. For the R language, follow the instructions on the GitHub R kernel repository. With the additional kernels are in place, you should see all available languages when creating a new notebook as pictured below.

Notice the list of options, some more familiar than others. Select the HTML option and Jupyter converts your entire notebook: text, commands, figures, images, etc, into a file with a. Opening the resulting file would display in a browser as expected. See the images below for a comparison of the. Corresponding SAS code notebook in html form. Note: when using a different kernel, say Python or R, you have the option to save in that language specific script format. SAS code saved from a notebook displayed in Enterprise Guide.

One thing to note here is only the code appears in the output file. The markdown code, figures, etc. There is one two actually special case s I need to mention.

If you want to create a PDF or LaTeX, which is used to create pdf files output of your notebook, you need additional software. If you attempt to download without TeX, the conversion fails, and you get a message to download TeX. You may also, in certain instances, need Pandoc for certain formats.

I suggest installing both to be safe. Install TeX from its dowload site. And do the same for Pandoc. It works, but I felt less accomplished afterward. Your choice. The jupyter nbconvert command provides the capability to transform the current notebook into any format mentioned earlier.

All you must do is pass the command with a couple of parameters in the notebook. In Python, the nbconvert command is part of the os library. The following lines are representative of the general structure. The example below is from a Python notebook. The "0" out code represents success. Code to create a PDF file from a Python notebook. As you see with the Python example, the code is just that: Python. The magics are a two-way street and you can also run SAS code inside a Python shell.

See the SASPy documentation for more information. Things are fairly straight forward in an R notebook. However, you must install and load the nbconvert package. The first line installs the package, the second line loads the package, and the third actually does the conversion. Double-check your paths if you run into trouble.

The last method we look at is the command line. The possibilities are endless for this option. You could include it in a script, use it in code to run and display in a web app, or create the file and email it to a colleague.

The examples below were all run on a Windows OS machine using the Anaconda command prompt. Regardless of the language of your notebook, you have multiple choices for saving your work including menu options, inline code, and from the command line. This is a great way to show off your creation in a very consumable mode. He oversees developer. Recently, Joe was recognized by WhiteSource software in their list of Top 20 developer advocates to follow in Joe is passionate about chronicling his journey as he expands his own knowledge-base of SAS and open source integration.

Save my name, email, and website in this browser for the next time I comment. This site uses Akismet to reduce spam. Learn how your comment data is processed. Available kernels list. SAS code in a Jupyther notebook. Jupyter file system display in a web browser.

notebook-as-pdf 0.4.0

Most students preferred Anaconda running on their own laptops and so do I. Downloading and installing Anaconda works for anybody, anywhere, but it takes more time, especially if the whole class tries to download it at the same time. Choose the Python 3. Be patient with the install process and let it complete without interference. Once it installs, run Anaconda Navigator and choose Jupyter Notebook from the menu.

When working with Jupyter Notebook, you will find yourself needing to distribute your Notebook as something other than a Notebook file. The most popular solution for exporting your Notebook into other formats is the built-in nbconvert tool. You can use nbconvert to export to the following formats:. The nbconvert tool uses Jinja templates to convert your Notebook files. Jinja is a template engine for Python.


Start writing a Jupyter Notebook Plus I list some Python and Jupyter learning resources! b) Type “jupyter notebook” (without quotes) and hit the return key Nice interactive introduction to python – you can run short python scripts in your.


notebook-as-pdf 0.4.0

Released: Jan 17, View statistics for this project via Libraries. Tags jupyter, pdf, export, bundler. The created PDF will have as few pages as possible, in many cases only one. This is useful if you are exporting your notebook to a PDF for sharing with others who will view it on a screen.

Getting Started with Jupyter Notebooks

With Jupyter Notebook integration available in PyCharm, you can easily edit, execute, and debug notebook source code and examine execution outputs including stream data, images, and other media. Ability to present a notebook as source code with textual cell definitions and manipulate cells as regular code. Auto-saving changes that you make in your files.

Work fast with our official CLI. Learn more. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again.

Work fast with our official CLI. Learn more. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again.

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