![]() There is no right or wrong way to open the file this is just another option at your disposal. In this module, we'll use a different method: Anaconda Navigator. Previously, we've opened Jupyter notebook files via the command line. If you do not see it in the list, go ahead and install it. To make sure you have it installed, go to the Anaconda Navigator application and check the list of applications within the Navigator. We'll also be using VS Code in this module to create our Flask application. If a version number is not returned, you'll need to reinstall the program. If a version number is returned (any version number is fine) you're good to go. Open Terminal (on Mac) or Command Prompt (on Windows) and run the command jupyter -version. All investors will need to do is download the file and run the code you provide.Ĭheck that you have Jupyter Notebook installed by viewing your Applications folder. Since Jupyter Notebook is run in a browser, you will be able to easily share your analysis with W. As you already know, Jupyter notebook files are great for sharing code. The first tool we'll check on is Jupyter Notebook. We'll kick our analysis off by checking on three tools: Jupyter Notebook, VS Code, and GitHub. Software: Matplotli 3.2.2, Python 3.9, Visual Studio Code 1.50.0, Anaconda 4.8.5, Jupyter Notebook 6.1.4, Pandas, Numpy, Sqlalchemy.įor more information, read the Documentation on Python data typess.Data Source: SurfsUp_Challenge_starter_code.ipynb named later as SurfsUp_Challenge.ipynb.Deliverable 3: A written report for the statistical analysis README.md.Deliverable 2: Determine the Summary Statistics for December. ![]() ![]() Deliverable 1: Determine the Summary Statistics for June.This new assignment consists of two technical analysis deliverables and a written report. Specifically, he wants temperature data for the months of June and December in Oahu, in order to determine if the surf and ice cream shop business is sustainable year-round. Avy likes your analysis, but he wants more information about temperature trends before opening the surf shop. ![]()
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