30 things I wish I knew before learning Python for Financial Analysis and Investing

Learning Python for financial analysis and investing can significantly enhance your ability to analyze financial data, build investment strategies, and automate trading.

But it’s not an easy path.

Many people give up after their first error message.

So how to prevent that?

Read my guide.

Here are the 30 things you should know before embarking on this journey:

  1. Python Basics: Familiarize yourself with Python syntax, data types, control structures, functions, and modules. Understanding these fundamentals is crucial for building any financial analysis program.
  2. Libraries and Frameworks: Know the key Python libraries used in finance such as Pandas for data manipulation, NumPy for numerical calculations, Matplotlib and Seaborn for data visualization, and Scikit-learn for machine learning.
  3. Data Handling: Learn how to manipulate and clean financial data using Pandas. This includes handling missing values, date and time operations, and merging datasets.

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Christian Martinez Founder of The Financial Fox

Finance Transformation Senior Manager @ Kraft Heinz | Founder of The Financial Fox