Organizing Earnings Data - Programming and Fundamental Investing Part 12

TL;DR

This video tutorial demonstrates how to pull financial data from Quandl.com, organize it into arrays, and graph it using Python programming.

Transcript

what is going on guys welcome to the 12th fundamental investing with use programming tutorial video where we left off we were visiting this quandl.com and pulling financial data and now that we have the data we want to organize it into an array and then we're going to use that array and graph from that array so first step we need to create these ar... Read More

Key Insights

• 🦮 The video tutorial provides a step-by-step guide on pulling financial data, organizing it into arrays, and graphing it using Python programming.
• 🫥 Splitting the data and removing unnecessary lines are crucial steps in preparing the data for analysis.
• 🔁 The tutorial emphasizes using for loops to iterate through the data and append it to the respective arrays.
• 👨‍💻 The instructor highlights the importance of checking for typos and errors while coding.
• ⛩️ The tutorial hints at the possibility of converting the arrays into NumPy arrays and generating graphs in future videos.
• 😑 The video expresses gratitude to the viewers for their support and subscriptions, indicating a supportive community.
• 🫵 The tutorial aims to help viewers create an "epic investing program" by utilizing the demonstrated techniques.

Questions & Answers

Q: What is the purpose of this tutorial video?

The purpose of this tutorial video is to teach viewers how to pull financial data, organize it into arrays, and graph it using Python programming.

Q: What is the first step in organizing the data?

The first step is to create empty arrays for net income, revenue, and return on capital.

Q: How does the video demonstrate splitting the data?

The video shows how to split the net income, revenue, and return on capital data by new lines using the .split() function.

Q: What is the significance of removing descriptive and empty lines?

Removing descriptive and empty lines ensures that only the relevant financial data is included in the arrays for further processing.

Summary & Key Takeaways

• The video tutorial focuses on pulling financial data from Quandl.com, organizing it into arrays, and graphing it using Python programming.

• The instructor demonstrates how to create empty arrays for net income, revenue, and return on capital.

• The tutorial also covers splitting the data by new lines, removing descriptive and empty lines, and appending the data to the respective arrays.