How do I get started with trading algorithms in Python for my personal project?

Welcome to the world of trading algorithms in Python. It's great that you're excited to get started, and I'm more than happy to help you on your journey. First, let's start with the basics. You've already got a good foundation in Python, which is perfect for building trading algorithms. Now, let's talk about the libraries you'll need to get started. You've mentioned Pandas and NumPy, which are both excellent choices. pandas is a powerful library for data manipulation and analysis, while numpy is a library for efficient numerical computation. You'll also want to check out matplotlib and seaborn for data visualization.

In addition to these libraries, you'll also want to explore some libraries that are specifically designed for trading, such as backtrader, zipline, and catalyst. These libraries provide a framework for building and testing trading algorithms, and they can save you a lot of time and effort. You can install these libraries using pip, which is the package installer for Python. For example, you can install backtrader using the following command: pip install backtrader.

Now, let's talk about some resources for learning about trading algorithms in Python. There are some excellent online courses and tutorials available, such as the Python for Data Science course on DataCamp, and the Trading with Python course on Udemy. These courses will give you a solid introduction to the basics of trading algorithms, and they'll also cover some more advanced topics, such as machine learning and technical analysis. You can also check out some online communities, such as the r/learnpython subreddit