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PYTHON FOR DATA SCIENCE The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step by Ethan Williams

Ethan Williams :

This book is a comprehensive guide for beginners to learn Python

Programming, especially its application for Data Science. While the

lessons in this book are targeted at the absolute beginner to

programming, people at various levels of proficiency in Python, or any

other programming languages can also learn some basics and concepts of

data science. A few Python libraries are introduced, including NumPy,

Pandas, Matplotlib, and Seaborn for data analysis and visualisation. To

make the lessons more intuitive and relatable, practical examples and

applications of each lesson are given. The reader is equally encouraged

to practise the techniques via exercises, within and at the end of the

relevant chapters. To help the reader get a full learning experience,

there are references to relevant reading and practice materials, and the

reader is encouraged to click these links and explore the possibilities

they offer. It is expected that with consistency in learning and

practicing the reader can master Python and the basics of its

application in data science. The only limitation to the reader’s

progress, however, is themselves!

You will get a PDF (4MB) file

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