Python has become a required skill for data science, and it’s easy to see why. It’s powerful, easy to learn, and includes the libraries like Pandas, Numpy, and Scikit that help you slice, scrub, munge, and wrangle your data. Even with a great language and fantastic tools, thought, there’s plenty to learn!
Exploring Data with Python is a collection of chapters from three Manning books, hand-picked by Naomi Ceder, the chair of the Python Software Foundation. This free eBook starts building your foundation in data science processes with practical Python tips and techniques for working and aspiring data scientists. In it, you’ll get a clear introduction to the data science process. Then, you’ll practice using Python for processing, cleaning, and exploring interesting datasets. Finally, you’ll get a practical demonstration of modelling and prediction with classification and regression. When you finish, you’ll have a good overview of Python in data science and a well-lit path to continue your learning.
Download this free eBook now!
About the author:
Naomi Ceder has been learning, using, and teaching Python since 2001. She is chair of the Python Software Foundation, the originator of the PyCon and PyCon UK poster sessions, and founder of the Python Education Summit. Naomi is the author of The Quick Python Book, Third Edition.