Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing,
cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific …

After project initiation, the data engineering team takes over to build necessary infrastructure
to acquire (identify, retrieve, and query), munge, explore, and persist data. The goal is to …

Python has established itself in a wide range of applications and domains. We illustrate the
key features of Python that are important for scientific and mathematical applications. Getting …

This book is intended to serve as a bridge in statistics for graduates and business
practitioners interested in using their skills in the area of data science and analytics as well as …

Small, tidy data sets are used to illustrate concepts and techniques in typical textbook treatments
of statistics and econometrics. They always have just a few rows or records and a few …

COVID-2019 has been recognized as a global threat, and several studies are being conducted
in order to contribute to the fight and prevention of this pandemic. This work presents a …

Data Science and Analytics with Python is designed for practitioners in data science and
data analytics in both academic and business environments. The aim is to present the reader …

So you are a (data) scientist who already knows R, and wants to learn Python. You are already
familiar with the ins and outs of programming in R like loops, if/else structures, and so on, …

Advanced Data Science and Analytics with Python enables data scientists to continue
developing their skills and apply them in business as well as academic settings. The subjects …

In this paper we demonstrate how Python can be used throughout the entire life cycle of a
graduate program in Data Science. In interdisciplinary fields, such as Data Science, the …