Cheon In-guk et al.: Python and Data Science: Learning by Doing

This is for readers who are quick to learn Python language. It was written with Python for readers who wanted to get a broad view of data analysis, machine learning, and deep-downing. Python can do a lot of things with simple code, and this is the most important reason to have the honor of the moment. It is the best language in data science, especially the most important area in recent computer sciences, and it can do the most efficiently with software in machine learning and artificial intelligence. They wanted to do more than explain Python grammar to their readers. For that reason, the book has been designed to show its powerful ability and to guide readers to a deeper and richer world of programming. It is the purpose of this book to help readers to convey the core of Python language and to help them treat numbers, text and image data as experts. We also added examples of the code and descriptions of the gap to help us understand the great feature of Python: object-symbol programming. The character of the revision - a kind and detailed explanation for readers who first learned Python, and many examples of it. Each chapter is divided into short verses that fit the core theme, so we can see the point briefly. to get the data visualizations that were missing in the first edition. and offering a challenge with 89 which they can practice and check for themselves what the readers understand. Starting with Python's basics, we're dealing with data processing and visualization techniques that are available in real-life.

Korean title: 따라하며 배우는 파이썬과 데이터 과학

Korean author: 천인국 외

Korean publisher: 생능출판

ISBN-13: 9791192932347