Social graphs are crucial for many reasons. These types of visualizations depict relationships between entities like people. In our case, we are going to create a social graph using NetworkX in Python to display the relationships between oil-producing countries. It is a very interesting topic from which we could learn a lot about the powerful world of oil.
In this example, we will use a high positive or negative correlation between the two country’s production output to define a relationship. …
I’ve been refining my web scraping skills for a while now. I’ve used beautiful soup, requests, and Scrapy. Recently, I decided to take a second look at the Scrapy application. I wanted to see if it was more efficient to scrape the Yahoo Finance stock price history website with Scrapy versus requests using multithreading.
At first, I was annoyed by the response output when I tried to scrape a table. I researched online to see how other coders approached tables using the Scrapy application. …
Multithreading is faster than multiprocessing at Python web scraping stock price history from Yahoo Finance. To understand why, you must know the difference between multithreading and multiprocessing.
Think about how many cores are in your computer processor. It is likely that you might have four cores. This means that you can run four tasks at the same time across each core. …
Access to stock market statistics is only as powerful as your knowledge of the data itself. Therefore, here are brief descriptions of common stock market statistics. These definitions should give you a better understanding of how you can use these stock measures to make sound investing choices. You can find each of these data points on the statistics tab on Yahoo Finance.
Value investors, in particular, prefer to use the following real measures of financial performance to determine whether a stock the market has reasonably priced an asset.
The intraday market capitalization is the share price of the stock multiplied…
The Yahoo Finance website is one of the most popular data sources on the internet for Python programmers to gather stock market statistics. Particularly for value investors, statistics such as debt-to-equity and price-to-earnings are arguably the most essential weapons used in finance. Therefore, efficient data compilation for analysis using the Python coding language is as powerful as it is convenient.
It might sound onerous to create software that will speed up your financial data collection efforts. …
You will need the pandas, requests, datetime, and calendar modules to web scrape a list of stocks with upcoming ex-dividend dates from the Nasdaq API using the Python coding language.
import pandas, requests, datetime, calendar
You need the following packages to scrape cryptocurrency exchange data from Yahoo Finance:
In the Anaconda…
America’s dark history with Iran extends as far back as 30 years when a group of student activists took hostage hundreds of U.S. expatriates at a U.S. embassy in Tehran in 1979. Jimmy Carter, a well-respected humanitarian, was the President of the United States at the time. In response, President Carter sanctioned trade between the United States and Iran.
One day before Ronald Reagan’s inauguration, the U.S. lifted these sanctions in exchange for the release of all the hostages. During Ronald Reagan’s first term in office, Hezbollah, a Lebanese militant group connected to Iran, would take seven new U.S. hostages…
To scrape stock dividend histories from Yahoo Finance, you will need to install and import external packages into your program:
This article is the third in a series going over how to scrape Yahoo Finance for stock price history data using the Python coding language. In this lesson, you will learn how to use the requests, lxml and pandas modules to build a function to scrape the price history table from Yahoo Finance. You can read the other articles in the series here.
In the first article, we defined three functions to create our request header and format the subdomain of the Yahoo Finance URL that we want to scrape. Open the file you created in this lesson. …