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

by 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!

Genres: Programming

199 pages, Kindle Edition

Published August 16, 2019

Reviews

[Hoanggiang]

Cuốn sách quá căn bản, các kiến thức mới chỉ giới hạn ở việc giới thiệu sơ qua và đưa ví dụ minh họa.
Các kiến thức đề cập tới: Ngôn ngữ Python căn bản, các pakages như Numpy, Pandas, Matplotlib, Seaborn. Cuốn sách cũng giới thiệu các chức năng căn bản của dataframe và các khái niệm về máy học

[Tsvetina Ilcheva · Rating 2 out of 5]

Very basic. No real life examples of when things are used, just a few "here's a function, here's what it does". Thanks, but google is just as good for that and the advice I can get there does get updated.