From the course: Advanced Python: Practical Database Examples
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Set up pandas and Jupyter Notebook - Python Tutorial
From the course: Advanced Python: Practical Database Examples
Set up pandas and Jupyter Notebook
- [Instructor] Let's create a Jupyter Notebook and analyze some data with Pandas. First, we need to install Pandas in Jupyter. We'll do this in a virtual environment. We'll CD into it and activate it. Inside of here, we'll install our dependencies. The first one will be Pandas. The next one will be Jupyter. We'll also install Matplotlib, which will allow us to create some visualizations. Let's start up our Jupyter Notebook. We can do that with Jupyter Notebook. This starts up a Jupyter Notebook server so we can write interactive Python code. Here we can see some information about the notebook server, including the URL we'll use to access and write code in the notebook. Running Jupyter Notebook also opens up this browser with the same URL. If, for some reason, the window didn't open up, you can always use these URLs. This is the notebook dashboard where we'll be able to see all the notebooks and files we've created.…
Contents
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Introduction to pandas2m 12s
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Set up pandas and Jupyter Notebook2m 10s
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Analyze data with pandas3m 30s
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Analyze data with Matplotlib1m 29s
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Connect to a DB using SQLAlchemy within Juypter Notebook2m 33s
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Visualize data using SQLAlchemy, pandas, and Matplotlib3m 30s
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Challenge: Ingest data and visualize it with Matplotlib1m 7s
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Solution: Ingest data and visualize it using Matplotlib4m 9s
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