Matplotlib Tutorial 8 - getting data from the internet

TL;DR

This tutorial explains how to use Python and the Yahoo Finance API to retrieve and graph stock price data.

Transcript

hello everybody and welcome to part eight of our data visualization with Python with matplotlib tutorial series in this video we're going to be talking about how we get data from the internet so what we're going to go ahead and do first is we'll get rid of this this kind of commented out code you might you can save that for your own records if you ... Read More

Key Insights

• ❓ Data visualization with Python can involve retrieving data from the internet.
• ♿ The Yahoo Finance API provides access to stock price data.
• ❓ Python libraries like urllib and numpy are useful for retrieving and processing data from the internet.
• 💁 Filtering and parsing the retrieved data is necessary to extract the relevant information.
• 📚 Matplotlib is a popular library for graphing data in Python.
• 🧑‍🤝‍🧑 Understanding date/time conversion formats is important when working with date-related data.
• 🔁 Functions and loops are essential for processing and manipulating data in Python.

Questions & Answers

Q: What is the purpose of this tutorial video?

The purpose of this tutorial video is to teach viewers how to retrieve data from the internet, specifically stock price data using the Yahoo Finance API, and graph it using Python.

Q: What are some examples of sources of online data?

Some examples of online data sources mentioned in the video are Quandl, Google APIs, Yahoo APIs, and Wikipedia APIs.

Q: How can we retrieve stock price data from Yahoo Finance using Python?

To retrieve stock price data from Yahoo Finance using Python, the video shows how to create a function that constructs the URL for the Yahoo Finance API, retrieves the source code of that URL using urllib, and filters out unnecessary data to obtain the relevant stock price data.

Q: What libraries are used in this tutorial video?

The video demonstrates the use of Python libraries such as numpy, urllib, and matplotlib.dates for retrieving and processing the data, as well as matplotlib for visualizing the data.

Summary & Key Takeaways

• The video is part of a tutorial series on data visualization with Python using matplotlib.

• The focus of this particular video is on retrieving data from the internet, specifically using the Yahoo Finance API to get stock price information.

• The video explains how to create a function to graph data for a specific stock and demonstrates how to retrieve and filter the data using Python libraries such as urllib and matplotlib.