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Can I read A Python Data Analyst’s Toolkit : Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics on EtoBox?
A Python Data Analyst’s Toolkit : Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics by Gayathri Rajagopalan is a nonfiction available to read on EtoBox.
What is A Python Data Analyst’s Toolkit : Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics about?
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. The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis. The final chapters of book focus on statistics, elucidating i
Who reads A Python Data Analyst’s Toolkit : Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Gayathri Rajagopalan
- Publisher
- Apress : Imprint: Apress
- Published
- 2021
- Language
- EN
- ISBN
- 9781484264003
- Category
- nonfiction
- Subjects
- Mathematics, Management, Language Learning
Other editions & translations
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