Pip

The Python Ecosystem & Interactive Data Workflows As a finance professional diving deeper into Python, I’ve found that understanding the broader ecosystem of tools is just as important as learning the language itself. In this post, we’ll explore the different ways to manage Python packages and environments, and dive into interactive data workflows that can transform how you work with financial data. Package vs. Environment Managers: pip, conda, and Anaconda When I first started with Python, I was confused by the different tools available for installing packages and managing environments. Let’s clarify these concepts. ...

Virtual Environments & Packaging in Python As your Python journey progresses and you start building more sophisticated financial tools, you’ll inevitably need to use external libraries. This is where virtual environments and package management become crucial skills. In this post, I’ll cover how to create isolated environments for your projects and manage dependencies effectively. Why Virtual Environments Matter Imagine this scenario: You’re working on two different financial applications. One requires pandas version 1.3 for compatibility with other tools, while the other needs the latest pandas 2.0 for new features. Without virtual environments, you’d be forced to choose one version for your entire system, potentially breaking one of your applications. ...