Data Wrangling with Python
Data Wrangling with Python:
Creating actionable data from raw sources Kindle Edition
by Dr. Tirthajyoti Sarkar
English | 2019 | ISBN: 1789800110 | 527 Pages | PDF (conv/HQ) | 29 MB
Creating actionable data from raw sources Kindle Edition
by Dr. Tirthajyoti Sarkar
English | 2019 | ISBN: 1789800110 | 527 Pages | PDF (conv/HQ) | 29 MB
The book starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The book will further help you grasp concepts through real-world examples and datasets.