Penny Dylan. Python for Data Analysis: A Practical Guide for Manipulating, Processing, Cleaning, and Crunching Data Sets in Python. How to Effectively Solve a Wide Range of Data Analysis Problems

Independently published, 2020. — 107 p.— ISBN B08RWQPFT5.How many times have you thought about learning how to code but got discouraged as you didn’t have any technical experience, the time to learn, or, simply, you didn’t think you were intelligent enough? This is your lucky day. Keep reading to discover more about it!You don’t need a costly computer science degree, a genius mind, and a 1000-page textbook to learn Python’s basics for Data Analysis.This book, Python for Data Analysis: A Practical Guide for Manipulating, Processing, Cleaning, and Crunching Data Sets in Python. How to Effectively Solve a Wide Range of Data Analysis Problems, is a concise, step-by-step guide to Python for Data Analysis.Many books about Pythons are theoretical and have little to no practical examples. This manual offers a plethora of simple illustrations and examples to underline core concepts and enhance your understanding. Loads of practice exercises are provided to make you learn fast, remember, and build a thorough understanding of the key concepts.Are you ready to find out more?Here’s a short preview of what you will learn inside this book:- Why Python for data analysis?
- Data analysis bases
- Python libraries and installation
- Python language basics, ipython and jupyter notebooks
- Built-in data structures, functions, and files
- Introduction to modeling libraries in Python…And so much more!This book will offer you a comprehensive explanation of Python for data analysis while not overpowering you with loads of information