Author(s): Ethan Williams
Date: Format: PDF/AZW3 Language: English ISBN/ASIN: B0897WDPRP
Pages: OCR: Quality: ISBN13:
Uploader: Upload Date: 6/6/2020 6:44:37 AM
Python For Data Science – Comprehensive Guide of Tips and Tricks using Python Data Science Theories.
Python for Data Science is a comprehensive guide about how to perform data science with Python. This book is for students, researchers, and developers who are technically-minded, and have a wide background in writing code as well as using numerical and computational tools. However, many of you may don’t wish to learn Python, but instead wish to learn the language in hopes of utilizing it as a means for computational and data-intensive science.
The aim of this book is not meant to serve as a kind of introduction to Python or even programming in general we presume readers will get their hands on this book already possess ample amount of knowledge in the Python language, which includes assigning variables, defining functions, controlling a program’s flow, calling methods of objects, and other basic operations. Rather, the book was put together to assist users of Python to understand how to use the data science stack of Python with libraries including NumPy, pandas, Matplotlib and other such tools with the aim of effectively manipulating, storing, and getting data insight.