Название: Python Pandas for Beginners: Pandas Specialization for Data Scientist
Автор: AI Publishing
Издательство: AI Publishing LLC
Год: 2022
Страниц: 548
Язык: английский
Формат: pdf, epub
Размер: 17.2 MB

In Data Science, NumPy and Pandas are by far the most widely used Python libraries. The main features of these libraries are powerful data analysis tools and easy-to-use structures. Python Pandas for Beginners presents you with a hands-on, simple approach to learning Python fast. This book is refreshingly different, as there’s a lot for you to do than mere reading. Each theoretical concept you cover is followed by practical examples, making it easier to master the concept. The step-by-step layout of this book simplifies your learning. The author has gone to great lengths to ensure what you learn sticks. You have short exercises at the end of each one of the 11 chapters to test your knowledge of the theoretical concepts you have learned.

This book presents you with:

A strong foundation in Pandas.
A deep understanding of fundamental and intermediate topics.
The essentials of coding in Python.
Links to reference materials related to the topics you study.
Quick access to external files to practice and learn advanced concepts of Pandas.
AResources folder containing all the datasets used in the book.

The Focus of the Book Is on Learning by Doing
In this learning by doing book, you start with Python installation in the very first chapter. Then there’s a crash course in Python in the second half of the first chapter. In the second chapter, you jump straight to Pandas. Right through the book, you’ll useJupyter Notebookto write code. You can also get fast access to the datasets used in this book. The book is loaded with self-explanatory scripts, graphs, and images. They have been meticulously designed to help you understand new concepts easily. Hence, this book is the best choice for self-study, even if you are proficient in Python. You can tackle new data science problems confidently and develop workable solutions in the real world. Finally, you can rely on thislearning by doing book to achieve your Python career goals faster.

This book will help you to quickly master the following topics:

Environment Setup and Python Crash Course
Pandas Basics
Manipulating Pandas Dataframes
Data Grouping, Aggregation, and Merging with Pandas
Pandas for Data Visualization
Handling Time-Series Data with Pandas
Working with Jupyter Notebook

Who Is This Book For?
The book is aimed ideally at absolute beginners to data science in specific and Python programming in general. If you are a beginner-level data scientist, you can use this book as a first introduction to NumPy and dataframes. If you are already familiar with Python and data science, you can also use this book for general reference to perform common tasks with NumPy and Pandas. Since this book is aimed at absolute beginners, the only prerequisites to efficiently use this book are access to a computer with the internet and basic knowledge of programming. All the codes and datasets have been provided. However, you will need the internet to download the data preparation libraries.