As you proceed to integrate the numerous tools and techniques into your investment and trading process, there are numerous things you could focus your efforts on. If your goal is to make better decisions, you should select projects that are realistic yet ambitious given your current skill set. This will help you to develop an efficient workflow underpinned by productive tools and gain practical experience.

We will briefly list some of the tools that are useful to expand on the Python ecosystem covered in this book and refer to the links listed on GitHub to dive deeper. These include big data technologies that will eventually be necessary to implement ML for trading strategies at scale. We will also list some of the platforms that allow you to implement trading strategies using Python, often with access to data sources and ML algorithms and libraries.