How can you get started learning machine learning and data science with Python?

Some of these libraries include NumPy, SciPy, Pandas, and Matplotlib. These libraries provide everything you need to get started with machine learning, including data handling, mathematical operations, and visualization. Python has a wide range of libraries and tools that make it a great choice for machine learning. 

Python also has a large community of users and developers. This community provides a wealth of resources to help you learn and use Python for machine learning.

There are a few things you should keep in mind when learning Python for machine learning and data science. First, Python is a dynamically typed language, which means that you don't have to declare variables before using them. This can be helpful for interactively exploratory data analysis. Second, Python is an interpreted language, which means that you can run your code without compiling it. This can be helpful for quickly testing out ideas.

Finally, there are many great libraries and tools available for machine learning and data science. Some of my favorites include NumPy, pandas, scikit-learn, and TensorFlow. These libraries and tools can be extremely helpful in your journey to become a machine learning and data science expert.