Python vs. Excel for financial modeling

Excel and Python are both popular tools for financial modeling and liquidity forecasting, but they have their own pros and cons. Here is a comparison of Excel and Python for these tasks: Pros of Excel for financial modeling: Cons of Excel for financial modeling: Pros of Python for financial modeling: Cons of Python for financial modeling: In conclusion, both Excel and Python have their strengths and weaknesses when it comes to financial modeling and liquidity forecasting. Excel is a familiar and user-friendly tool with a wide range of built-in functions, but it can be limited in terms of scalability and […]

Interactive plots with Python

When working with large datasets the explanatory analysis proofs to be of high importance, both for the client and the data scientist. A visual and potentially interactive approach can greatly help with the development of research hypotheses and is a great start for the data cleaning and prepping process. In Python, there are great packages available to visualize data and great interactive plots. This blog post gives a small overview of available tools, development, and deployment. The vibrant and ever-developing landscape of Python libraries offers a variety of possibilities in 2021. Interactive Python vizualisation libraries There are low code alternatives […]