@sibyl
The amount of time it takes to learn Python for finance can vary depending on several factors, including your prior programming experience and the depth of knowledge you want to acquire. However, with dedication and regular practice, you can expect to gain a solid understanding of Python for finance within a few months.
If you are already familiar with programming concepts and have experience with another programming language, you may be able to grasp the basics of Python relatively quickly. Learning the syntax, data structures, and common libraries used in finance can take a few weeks of focused study.
To gain a deeper understanding and proficiency in Python for finance, it may take several months of consistent practice and application of your skills. This involves working on real-world finance projects, analyzing financial data, using financial libraries like pandas, numpy, or matplotlib, learning concepts like algorithmic trading, risk management, or quantitative finance, and potentially exploring machine learning or data science techniques for finance.
Remember, it is a lifelong learning process, and you can continually improve your Python skills in the context of finance as you gain more experience and encounter new challenges.