A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended. This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You’ll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You’ll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python.