Use maps and charts lavishly to show different aspects of the data. Heading 2: Get data-Import libraries and search for and get required datasets. Heading 1: Title: Cover the narrative or abstract and include a TOC. Structure of Your Data Science Notebookīy and large, use headings to structure your notebook as you would a paper for a scientific journal. Master markdown to enrich your notebooks with rich typography and multimedia. Make this explicit at the beginning of the notebook. If you use a library that is not shipped with base anaconda, then the user must run installation steps and relaunch the notebook. This is especially true if you import a lot of dependencies at the function level.
However, in the notebook medium, you might prefer to import them as and when necessary to better explain your work. It is generally a good practice to import all your dependencies at the beginning of your script. For instance: usa_house_scribe().round(3) will display numeric columns in your DataFrame rounded to three decimal digits. Quickly round your DataFrames during display by calling the DataFrame_obj. Don’t call variables as dict or list, which will hide built-in data structures with the same names.įor enhanced performance, use the Spatially Enabled DataFrame (available since version 1.5 of ArcGIS API for Python) in place of SpatialDataFrame objects.
For instance, call your map object map1 and map2 instead of map, which will hide built-in map() function. Name variables so that they don’t clobber built-ins. This way, the reader knows what libraries are used and can ensure that their environment is ready. The exception is class names, which should use camel casing and start with the capital case.ĭo all imports at the top of the notebook. Coding Standards for Your Python Snippetsįor variable and function names, use underscores to separate words-in other words, snake_name_your_variables-instead of separating words with cases or camelCasingYourVariables. And finally, ensure that your plots have a legend, title, axes names, and discernible symbols. Use subplots when you want to show a grid of plots. Use plt.tight_layout() to autosize your plots to fit the notebook. Matplotlib, a Python 2D plotting library, is great, but check out higher-level plotting libraries such as Seaborn () before you settle for Matplotlib.
#JUPYTER NOTEBOOK MARKDOWN CHEAT SHEET CODE#
A cell with more than 15 lines of code is too long. A cell for a single line of code is too short. Break them up by adding markdown cells in between and add explanatory text. Try to keep your code cells as short as possible. Insert LaTeX equations inline within two dollar signs $…$.īreak Longer Segments of Code into Multiple Cells A cheat sheet from the New York University website is linked to the online version of this article. LaTeX is a document preparation system that uses the TeX macro language.
#JUPYTER NOTEBOOK MARKDOWN CHEAT SHEET DOWNLOAD#
You can download this cheat sheet as a Markdown file for use in your Markdown application.An example showing how LaTeX equations are rendered in Jupyter Notebook. I need to highlight these =very important words=. Not all Markdown applications support these elements. These elements extend the basic syntax by adding additional features. All Markdown applications support these elements. These are the elements outlined in John Gruber’s original design document. It can’t cover every edge case, so if you need more information about any of these elements, refer to the reference guides for basic syntax and extended syntax. This Markdown cheat sheet provides a quick overview of all the Markdown syntax elements.
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